AWS Certification Training Courses

Online Instructor-led (1 days)

Online Self-paced (8 hours)

AWS Technical Essentials Training Course Outline 

 

Module 1: Introducing AWS Technical and History

  • Introduction to AWS
  • Understanding Regions and AZ’s
  • AWS Console
  • History of AWS

Module 2: Foundational Services of AWS

  • Foundational Services
  • Virtual Private Cloud
  • Elastic Compute Cloud
  • Elastic Block Store
  • Amazon S3

Module 3: AWS Security

  • AWS Security Credentials
  • Using Encryption in S3
  • Signing AWS API Requests
  • Using Multi-Factor Authentication (MFA) in AWS
  • Logging
  • EC2 Security and Networking
  • Security in VPC

Module 4: Identity Access Management (IAM)

  • Introduction to IAM
  • IAM Features
  • Identities

Module 5: Databases of AWS

  • DynamoDB
  • Amazon Relational Database Service (RDS)

Module 6: AWS Management Tools

  • CloudWatch
  • Elastic Load Balancing
  • Auto Scaling

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Who Should Attend the AWS Technical Essentials Training Course?

The AWS Technical Essentials Training Course is designed for professionals who want to get started with Amazon Web Services (AWS) and understand its core services and functionalities. This course will benefit the following professionals:

  • IT Professionals
  • System Administrators
  • Developers
  • Solutions Architects
  • Cloud Operations Engineers
  • Network Administrators
  • DevOps Engineers
  • Technical Support Specialists

Prerequisites of the AWS Technical Essentials Training Course

There are no formal prerequisites to attend the AWS Technical Essentials Training Course. However, a basic understanding of cloud computing would be beneficial.  

AWS Technical Essentials Training Course Overview

Our AWS Technical Essentials training course gives delegates an insight into the functions, products, and solutions of AWS. This training course will enhance the delegate’s ability to make more coherent and relevant decisions relating to IT solutions within their own organisation, by recognising the capabilities of AWS. This course will provide a detailed introduction into the main concepts of AWS, to enable delegates to utilise the services.

During this course, delegates will become familiar with key terminology and notions of AWS, in the context of the AWS platform. Foundational Services of AWS, including Elastic Load Balancing (EC2), Virtual Private Cloud (VPC), Simple Storage Service (S3), and Elastic Load Balancing (ELB) will be explored. Identity Access Management will be covered, as will database services such as DynamoDB.

Primarily, this AWS Technical Essentials training course will fully prepare delegates for the associated examination. This course is highly interactive and engaging, as it is delivered via instructor-led teaching and practical labs. This combination ensures that delegates can implement their acquired knowledge in a hands-on manner, to assess the extent of their new abilities.

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What’s included in this AWS Technical Essentials Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • AWS Technical Essentials Certificate
  • Digital Delegate Pack

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Online Instructor-led (2 days)

Online Self-paced (16 hours)

Big Data On AWS Training Course Outline

Module 1: Introduction to AWS and Big Data

  • An Introduction to Big Data
  • Ingestion, Transmission, and Compression of Big Data
  • Kinesis and Data Stream
  • Data Storage Solutions
  • Using DynamoDB to Store and Query Data
  • Processing Big Data
  • Operating Athena
  • Utilising Elastic MapReduce

Module 2: Apache Hadoop and EMR (Elastic MapReduce)

  • Apache Hadoop and EMR
  • Consolidating EMR with HUE
  • Function of Pig Scripts in Hue
  • Spark on EMR
  • Constructing and Querying Tables

Module 3: Big Data with Redshift in AWS

  • Big Data with Redshift
  • Visualising Big Data
  • Operating TIBCO Spotfire
  • Big Data Design Sequences
  • Data Warehouses
  • Redshift Environment Optimisation

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Who should attend this Big Data on AWS Training?

The Big Data on AWS Course is designed for professionals who want to gain expertise in processing and analysing large datasets using Amazon Web Services (AWS) technologies. This course can be beneficial to a variety of professionals, including:

  • Data Engineers
  • Data Scientists
  • Big Data Analysts
  • Data Analytics Managers
  • Business Intelligence Analysts
  • Data Warehousing Specialists
  • Big Data Consultants

Prerequisites of the Big Data on AWS Training

There are no formal prerequisites to attend the Big Data on AWS Course. However, a basic understanding of Big Data technologies and cloud computing can be beneficial to the delegates. 

Big Data on AWS Training Course Overview

Big Data has become essential for decision-making and business strategy in various industries. The Knowledge Academy provides this AWS Certification that teaches how to efficiently and effectively handle, process, and analyse large datasets using Amazon Web Services (AWS). Since AWS is a top cloud platform, mastering Big Data on AWS is vital for organisations aiming to stay competitive and innovative.

Proficiency in AWS Big Data is crucial for IT Professionals, Data Engineers, Data Scientists, and anyone engaged in data management and analytics. As cloud technologies continue to gain traction, organisations seek experts capable of designing, implementing, and fine-tuning Big Data solutions on AWS.

The 2-day AWS Big Data Certification course by The Knowledge Academy is crafted to equip delegates with a deep grasp of AWS services and tools specifically designed for managing Big Data tasks. This training offers hands-on practice in establishing data lakes, conducting analytics, and utilising AWS services such as Amazon EMR, Redshift, and Athena. Through practical exercises and real-world scenarios, attendees can promptly apply their newfound knowledge in their professional careers.

Course Objectives

  • To explore AWS Big Data services and their roles in data processing and analytics
  • To learn how to build and manage data lakes on AWS
  • To gain proficiency in using Amazon EMR for distributed data processing
  • To master data warehousing with Amazon Redshift
  • To perform ad-hoc querying with Amazon Athena
  • To discover best practices for securing and optimising Big Data solutions on AWS

After successfully finishing the Big Data on AWS Course, delegates will possess the necessary expertise to design and deploy cost-efficient, scalable Big Data solutions on the AWS platform.

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What’s included in this Big Data on AWS Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Big Data on AWS Certificate
  • Digital Delegate Pack

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Online Instructor-led (2 days)

Online Self-paced (16 hours)

AWS DynamoDB Training Course Outline

Module 1: What is Amazon DynamoDB?

  • How it Works
  • From SQL to NoSQL
  • Additional Resources for Amazon DynamoDB
  • Setting up DynamoDB
  • Accessing DynamoDB

Module 2: Getting Started with DynamoDB

  • Create a Table
  • Write Data
  • Read Data
  • Update Data
  • Query Data
  • Create a Global Secondary Index
  • Query the Global Secondary Index
  • (Optional) Clean Up

Module 3: Getting Started with DynamoDB and the AWS SDKs

  • Create a Table
  • Write an Item
  • Read an Item
  • Update an Item
  • Delete an Item
  • Query a Table
  • Scan a Table
  • Working with AWS SDKs

Module 4: Programming with DynamoDB

  • Overview of AWS SDK Support for DynamoDB
  • Higher-Level Programming Interfaces
  • Running the Code Examples

 

Module 5: Working with DynamoDB

  • Working with Tables
  • Working with Read and Write Operations
  • Working with Indexes
  • Working with Transactions
  • Working with Streams
  • Working with On-Demand Backup and Restore
  • Working with Point-in-Time Recovery

Module 6: In-Memory Acceleration with DAX

  • How it Works
  • DAX Cluster Components
  • Creating a DAX Cluster
  • Consistency Models
  • Developing with the DAX Client
  • Managing DAX Clusters
  • Monitoring DAX
  • DAX T3/T2 Burstable Instances
  • DAX Access Control
  • DAX Encryption at Rest
  • DAX Encryption in Transit
  • Using Service-Linked Roles for DAX
  • Accessing DAX Across AWS Accounts

Module 7: Data Modeling

  • Data Modeling Foundations
  • Data Modeling Building Blocks
  • Data Modeling Schema Design Packages

Module 8: Monitoring and Troubleshooting

  • Logging and Monitoring in DynamoDB
  • Logging and Monitoring in DAX
  • Contributor Insights
  • Using User Notifications with Amazon DynamoDB
  • Latency
  • Throttling

Module 9: Integrating with Other AWS Services

  • Integrating with Amazon Cognito
  • Integrating with Amazon Redshift
  • Integrating with Amazon EMR
  • Integrating with S3
  • Quotas and Limits
  • API Reference

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Who Should Attend the AWS DynamoDB Training Course?

The AWS DynamoDB Training Course is designed to enable professionals to gain proficiency in Amazon Web Services (AWS) DynamoDB, a NoSQL database service.  This course will help professionals, including:

  • Cloud Architects
  • Database Administrators
  • Software Developers
  • Data Engineers
  • DevOps Engineers
  • System Administrators
  • Solutions Architects
  • IT Managers

Prerequisites of the AWS DynamoDB Training Course

There are no formal prerequisites to attend the AWS DynamoDB Training Course. However, a basic understanding of Java programming and query languages would be beneficial. 

AWS DynamoDB Training Course Overview

AWS DynamoDB is a fully managed NoSQL database service designed for high availability and scalability, enabling developers to build applications that can handle large volumes of data with low latency. As businesses increasingly rely on real-time data processing and analytics, understanding DynamoDB's capabilities is essential for creating efficient and resilient applications. Its flexible data model and seamless integration with other AWS services make it a critical tool for modern cloud-based architectures.

Professionals who will benefit from this course include developers, data engineers, cloud architects, and IT professionals seeking to leverage DynamoDB for building scalable applications. Additionally, product managers and data analysts looking to gain insights into database management will find the course invaluable for understanding how to effectively store and retrieve data using AWS services.

This 2-days course by The Knowledge Academy equips delegates with practical skills in implementing and managing DynamoDB. Delegates will learn how to create, configure, and optimise DynamoDB tables, as well as integrate them with other AWS services. This course will enhance their ability to develop applications that require fast and predictable performance, ensuring they can meet modern business demands.

Course Objectives

  • To understand the core concepts of AWS DynamoDB
  • To create and configure DynamoDB tables
  • To manage data effectively using DynamoDB
  • To implement DynamoDB best practices for performance optimisation
  • To integrate DynamoDB with other AWS services
  • To troubleshoot common issues related to DynamoDB

Upon completion of the course, delegates will have the expertise to design and implement DynamoDB solutions in real-world applications, allowing them to optimise data storage and retrieval while ensuring high performance and scalability in cloud environments.

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What’s included in this AWS DynamoDB Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • AWS DynamoDB Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

AWS IoT Certification Course Outline

Module 1: Introduction to AWS IoT

  • Concepts of IoT
  • Introduction to Cloud Computing
  • IoT Cloud Architecture
  • IoT Protocol Standard Framework and Stack
  • IoT Application Layer Protocols, API, and Libraries
  • AWS Account Creation

Module 2: Amazon Web Services

  • EC2 (Elastic Compute Cloud)
  • EBS (Elastic Block Storage)
  • VPC (Virtual Private Cloud)
  • AWS Lambda
  • Simple Notification Service
  • Simple Storage Service (S3)
  • Amazon Dynamo DB
  • Amazon Machine Learning Service
  • Amazon ElastiCache for Redis
  • AWS Cloud Watch
  • AWS Cloud Formation
  • AWS CLI

Module 3: AWS IoT (Amazon Internet of Thing) Stack

  • IoT Device SDK
  • Device Registry
  • Device Management
  • Certificates and Policies
  • Message Broker
  • Device Shadow Service
  • Rules Engine and Rule Actions
  • Amazon Greengrass Core
  • IoT Analytics Service
  • Integration with AWS Service Stack

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Who should attend this AWS IoT Certification Course?

The Introduction to AWS IoT Course is designed to provide a comprehensive understanding to professionals to familiarise them with the concepts and fundamentals of the Amazon Web Services (AWS) Internet of Things (IoT) platform. This course can be beneficial to various professionals, including:

  • IoT Developers
  • Embedded System Engineers
  • Solutions Architects
  • Software Engineers
  • Cloud Engineers
  • IoT Solutions Specialists
  • Entrepreneurs

Prerequisites of the AWS IoT Certification Course

There are no formal prerequisites to attend the AWS IoT Certification Course. However, a basic understanding of Internet of Things and cloud computing would be beneficial to delegates. 

AWS IoT Certification Course Overview

The Internet of Things (IoT) has transformed various industries, with AWS IoT as its foundation. The AWS IoT Certification Course is designed to provide participants with a comprehensive understanding of Amazon Web Services (AWS) Internet of Things (IoT) services. In today's interconnected world, IoT plays a pivotal role in transforming industries by enabling devices to communicate and share data seamlessly. This course introduces the fundamental concepts and applications of AWS IoT, highlighting its relevance in creating efficient, scalable, and secure IoT solutions.

Understanding AWS IoT is crucial for professionals involved in cloud computing, IoT development, and system architecture. Mastery of this subject is particularly important for developers, architects, and IT professionals seeking to leverage AWS services for building and managing IoT applications. As industries increasingly adopt IoT, having expertise in AWS IoT becomes a valuable skill set for staying competitive and contributing to innovative technological advancements.

In this 1-day course by The Knowledge Academy, delegates will gain knowledge of key AWS services, including Elastic Compute Cloud (EC2), Elastic Block Store (EBS), Virtual Private Cloud (VPC), S3, AWS Lambda, Simple Notification Service (SNS), DynamoDB, and Amazon Machine Learning. The course covers AWS CloudWatch, CloudFormation, and the Command Line Interface (CLI). Additionally, delegates will delve into the IoT device stack, covering device registry and management, message brokers, device shadow, and AWS Greengrass Core.

Course Objectives

  • To understand AWS IoT core components
  • To configure device connections and security
  • To implement IoT data processing and analytics
  • To learn to build scalable IoT applications
  • To ensure data integrity and security
  • To develop real-world IoT use cases
  • To troubleshoot common IoT challenges
  • To help delegates stay updated with AWS IoT best practices

After completing this AWS Course, delegates will be well-prepared to leverage AWS IoT to create innovative solutions, enhance their career prospects, and contribute to the IoT-driven digital transformation in their organisations.

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What’s included in this AWS IoT Certification Course?

  • World-Class Training Sessions from Experienced Instructors
  • AWS IoT Certificate
  • Digital Delegate Pack

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Online Instructor-led (2 days)

Online Self-paced (16 hours)

AWS Aurora Training Course Outline

Module 1: Introduction to AWS Aurora

  • What is Aurora?
  • Aurora DB Clusters
  • Aurora Versions
  • Regions and Availability Zones
  • Supported Aurora Features by Region and Engine
  • Aurora Connection Management

Module 2: Configuring Your Aurora DB Cluster

  • Creating a DB Cluster
  • Creating Resources with AWS CloudFormation
  • Using Aurora Global Databases
  • Working with Parameter Groups

Module 3: Managing an Aurora DB Cluster

  • Stopping and Starting a Cluster 
  • Modifying an Aurora DB Cluster 
  • Adding Aurora Replicas 
  • Managing Performance and Scaling 
  • Cloning a Volume for an Aurora DB Cluster 
  • Integrating with AWS Services 

Module 4: Monitoring an Aurora DB Cluster

  • Overview of Monitoring
  • Viewing Key Monitoring Information
  • Monitoring Aurora DB Cluster Metrics
  • Monitoring OS Metrics

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Who should attend this AWS Aurora Training?

The AWS Aurora Course is a comprehensive training course designed for professionals aiming to learn about Amazon Web Services Aurora database service and its features. This AWS Certification Training can be beneficial to a wide range of professionals, including:

  • Database Administrators
  • Database Engineers
  • Data Architects
  • Cloud Engineers
  • Solutions Architects
  • Cloud Operations Engineers
  • DevOps Engineers

Prerequisites of the AWS Aurora Training Course

There are no formal prerequisites to attend the AWS Aurora Course. However, a basic understanding of cloud computing and relational databases would be beneficial to delegates.

AWS Aurora Training Course Overview

AWS Aurora is a cutting-edge relational database service offered by Amazon Web Services that combines the performance and availability of high-end commercial databases with the simplicity and cost-effectiveness of open-source databases. Where data plays a pivotal role in business success, understanding and mastering AWS Aurora is crucial for organisations and IT professionals.

Proficiency in AWS Aurora is essential for IT professionals, database administrators, developers, and anyone working with databases in the cloud. With the growing adoption of AWS and the need for scalable, reliable, and high-performance databases, mastering AWS Aurora is a career-enhancing skill. This training course is designed to cater to beginners seeking to establish a solid foundation and experienced AWS users seeking to deepen their expertise.

This 2-day training course by The Knowledge Academy will equip delegates with the knowledge and practical skills to effectively deploy, manage, and optimise AWS Aurora databases. Delegates will learn about the architecture, best practices, and advanced features of AWS Aurora, enabling them to improve database performance, reduce costs, and ensure high availability. Hands-on exercises and real-world scenarios will reinforce learning, empowering delegates to implement what they've learned in their AWS environments.

Course Objectives

  • To Understand the fundamentals of AWS Aurora architecture
  • To learn how to provision and configure Aurora database instances
  • To implement best practices for optimizing Aurora database performance
  • To explore data security and compliance considerations in Aurora
  • To master database backups, replication, and failover strategies
  • To troubleshoot common issues and monitor Aurora databases effectively
  • To gain insights into scaling Aurora for high-demand workloads
  • To ensure high availability and disaster recovery for Aurora databases

After successful completion of this AWS Training Course, delegates will be well-prepared to leverage AWS Aurora effectively in their organisations. They will receive a certification of completion and access to valuable resources to further enhance their AWS skills.

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What’s included in this AWS Aurora Training?

  • World-Class Training Sessions from Experienced Instructors
  • AWS Aurora Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

AWS CloudFormation Training Course Outline

Module 1: Get Started with AWS CloudFormation

  • Introduction to AWS CloudFormation
  • AWS CloudFormation Features
  • Working of AWS CloudFormation

Module 2: Setting Up

  • Signing in for an AWS Account and Pricing
  • Controlling Access with IAM
  • Logging CloudFormation API Calls
  • AWS CloudFormation Limits
  • Setting Up VPC Endpoint for AWS CloudFormation

Module 3: Continuous Delivery with Code Pipeline

  • Overview of Building a Pipeline for Test and Production Stacks
  • Building a Pipeline for Test and Production Stacks
  • Configure Properties Reference
  • AWS CloudFormation Artifacts
  • Parameter Override Functions with Code Pipeline Pipelines

Module 4: Working with Stacks

  • Creating a Stack Using Console
  • Stack Updates
  • Detecting Unmanaged Configuration Changes to Stack and Resources
  • Exporting Stack Output Values
  • Working with Nested Stacks

Module 5: Working with Template

  • Template Format and Anatomy
  • Template Snippets
  • Custom Resources
  • Template Macros

Module 6: Working with AWS CloudFormation Stack Sets

  • Stack Set Concepts
  • Stack Set Operations
  • Create a New Stack Set
  • Update Stack Set
  • Add Stacks to Stack Set
  • Override Parameters on Stack Instance
  • Delete Stack Instances and Stack Sets

Module 7: Troubleshooting AWS CloudFormation

  • Troubleshooting Errors
    • Delete Stack Fails
    • Dependency Errors
    • Error Parsing Parameter When Passing a List
    • Insufficient IAM Permissions
    • Invalid Value or Unsupported Resource Property
    • Limit Exceeded
    • No Updates to Perform
    • Resource Failed to Stabilize During an Update, Delete Stack Operation or Create
    • Security Group does not Exist in VPC
    • Update Rollback Failed
    • Resource Removed from Stack but Not Deleted

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Who should attend this AWS CloudFormation Training Course?

The AWS CloudFormation Course is designed for professionals seeking to learn how to provision and manage infrastructure as code using Amazon Web Services (AWS) CloudFormation. This AWS Certification Training Course can be beneficial to various professionals, including:

  • AWS Cloud Engineers
  • Solutions Architects
  • DevOps Engineers
  • Infrastructure Automation Specialists
  • System Administrators
  • Cloud Operations Engineers
  • Application Deployment Engineers

Prerequisites of the AWS CloudFormation Training

There are no formal prerequisites to attend the AWS CloudFormation Course. However, a basic understanding of Infrastructure as Code (IaC) and cloud computing would be beneficial to delegates.   

AWS CloudFormation Training Course Overview

The AWS CloudFormation Course introduces delegates to AWS CloudFormation, a service that enables automated provisioning and management of AWS resources. As cloud computing becomes ubiquitous, automating infrastructure deployment is crucial for scalability, efficiency, and cost-effectiveness in managing complex cloud environments.

Mastering AWS CloudFormation is essential for IT professionals, developers, and system architects responsible for deploying and managing AWS infrastructure. Understanding CloudFormation allows professionals to automate resource provisioning, maintain consistency, and easily replicate infrastructure across environments, enhancing agility and reducing manual configuration errors.

The Knowledge Academy's 1-day training equips delegates with practical skills in using AWS CloudFormation to automate infrastructure deployment. Delegates learn how to create and manage CloudFormation templates, leverage best practices for infrastructure as code (IaC), and automate resource provisioning efficiently.

Course Objectives

  • To understand the fundamentals of AWS CloudFormation and infrastructure as code (IaC)
  • To learn how to develop, manage, and deploy CloudFormation templates
  • To automate the provisioning and administration of AWS resources
  • To implement best practices for CloudFormation stack management and version control
  • To troubleshoot and debug CloudFormation templates effectively
  • To integrate CloudFormation into CI/CD pipelines for seamless application deployment

Upon course completion, delegates will possess the knowledge and skills to automate AWS infrastructure deployment using CloudFormation, streamlining operations, improving scalability, and reducing manual effort and errors in managing cloud environments.

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What’s included in this AWS CloudFormation Training?

  • World-Class Training Sessions from Experienced Instructors
  • AWS CloudFormation Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Amazon Simple Notification Service Training Course Outline

Module 1: What is Amazon SNS? 

  • Features and Capabilities 
  • Related Services 
  • Accessing Amazon SNS 
  • Pricing for Amazon SNS 
  • Common Amazon SNS Scenarios 
  • Working with AWS SDKs 

Module 2: Configuring Amazon SNS  

  • Creating a Topic 
  • Subscribing to a Topic 
  • Deleting a Subscription and Topic   
  • Tagging 

Module 3: Message Ordering and Deduplication  

  • FIFO Topics Use Case 
  • Message Ordering Details 
  • Message Grouping, Delivery, and Filtering 
  • Message Deduplication, Security, and Durability 

Module 4: Message Publishing and Filtering 

  • Large Message Payloads 
  • Message Attributes 
  • Message Batching 

Module 5: Message Delivery 

  • Features and Capabilities 
  • Message and Raw Message Delivery 
  • Cross-Account and Region Delivery 
  • Message Delivery Status and Retries 
  • Dead-Letter Queues (DLQs) 
  • Message Archiving and Analytics 

Module 6: Application-to-Application Messaging 

  • Fanout to Kinesis Data Firehose Delivery Streams 
  • Fanout to Lambda Functions 
  • Fanout to Amazon SQS Queues 
  • Subscribing a Queue to a Topic 
  • Fanout to HTTP/S Endpoints 
  • Fanout to AWS Event Fork Pipelines 

Module 7: Application-to-Person (A2P) Messaging 

  • Features and Capabilities 
  • Application-to-Person (A2P) Messaging 
  • Mobile Text Messaging (SMS) 
  • Mobile Push Notifications 
  • Email Notifications 

Module 8: Security and Troubleshooting 

  • Data Protection 
  • Identity and Access Management 
  • Logging and Monitoring 
  • Compliance Validation 
  • Resilience 
  • Infrastructure Security 
  • Troubleshooting

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Who Should Attend the Amazon Simple Notification Service Training Course?

The Amazon Simple Notification Service Training Course is designed for professionals seeking to learn how to effectively use Amazon Web Services (AWS) SNS for building scalable and reliable messaging systems. This course will benefit various professionals, including:

  • Software Engineers
  • DevOps Engineers
  • Systems Administrators
  • Web Developers
  • Mobile Developers
  • IoT Developers
  • Product Managers

Prerequisites of the Amazon Simple Notification Service Training Course

There are no formal prerequisites to attend the Amazon Simple Notification Service (SNS) Training Course. However, a basic understanding of messaging and cloud computing would be beneficial.  

Amazon Simple Notification Service (SNS) Training Course Overview

Amazon Simple Notification Service (SNS) is a web service that coordinates and manage the delivery of messages to subscribing endpoints or clients. There are two types of clients- publishers and subscribers. Publishers communicate asynchronously with the subscriber by producing and sending a message to a topic, which is a logical access point and communication channel. Subscriber consumes or receives the message over one of the supported protocols when they are subscribed to the topic.

In this course, delegates will learn how Amazon SNS works. They will also learn about Amazon SNS for System-to-System Messaging with AWS Lambda Function, Amazon SQS Queue, and HTTP/HTTPS endpoint as a subscriber. This course teaches delegates about monitoring, logging, and troubleshooting Amazon SNS topics. Post completion of this training, delegates will also learn how to secure Amazon SNS.

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What’s included in this Amazon Simple Notification Service Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Amazon Simple Notification Service Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Amazon Kinesis Training ​Course Outline

Module 1: What is Amazon Kinesis Data Streams?

  • What to do with Kinesis Data Streams?
  • Benefits of Using Kinesis Data Streams
  • Kinesis Data Streams High-Level Architecture and Terminology

Module 2: Setting Up for Amazon Kinesis Data Streams

  • Sign Up for AWS
  • Download Libraries and Tools
  • Configure Development Environment
  • Install and Configure the AWS CLI
  • Perform Kinesis Data Stream Operations

Module 3: Creating and Managing Streams

  • Choosing the Data Stream Capacity Mode
  • Creating a Stream with AWS Management Console and APIs
  • Updating and Listing Stream
  • Listing Shards
  • Deleting and Resharding Stream
  • Changing the Data Retention Period
  • Tagging Streams in Amazon Kinesis Data Streams

Module 4: Writing Data to Amazon Kinesis Data Streams

  • Developing Producers Using the Amazon Kinesis Producer Library
  • Developing Producers Using the Amazon Kinesis Data Streams API
  • Writing to Amazon Kinesis Data Streams Using Kinesis Agent
  • Troubleshooting Amazon Kinesis Data Streams Producers

Module 5: Reading Data from Amazon Kinesis Data Streams

  • Developing Consumers Using AWS Lambda
  • Developing Consumers Using Amazon Kinesis Data Analytics
  • Developing Consumers Using Amazon Kinesis Data Firehose
  • Using the Kinesis Client Library
  • Developing Custom Consumers with Shared Throughput
  • Developing Custom Consumers with Dedicated Throughput
  • Troubleshooting Kinesis Data Streams Consumers

Module 6: Monitoring Amazon Kinesis Data Streams

  • Monitoring the Amazon Kinesis Data Streams Service with Amazon CloudWatch
  • Monitoring Kinesis Data Streams Agent Health with Amazon CloudWatch
  • Logging Amazon Kinesis Data Streams API Calls with AWS CloudTrail
  • Monitoring the Kinesis Client Library with Amazon CloudWatch
  • Monitoring the Kinesis Producer Library with Amazon CloudWatch

Module 7: Security in Amazon Kinesis Data Streams

  • Data Protection in Amazon Kinesis Data Streams
  • Controlling Access to Amazon Kinesis Data Streams Resources Using IAM
  • Compliance Validation for Amazon Kinesis Data Streams
  • Resilience in Amazon Kinesis Data Streams
  • Infrastructure Security in Kinesis Data Streams

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Who Should Attend the Amazon Kinesis Training Course?

The Amazon Kinesis Training Course is designed for professionals who want to gain proficiency in working with Amazon Web Services Kinesis, a platform for real-time data streaming and analytics. This course will be beneficial to the following professionals:

  • Data Engineers
  • Data Analysts
  • Solutions Architects
  • Software Developers
  • Cloud Engineers
  • Big Data Specialists
  • Streaming Data Analysts

Prerequisites of the Amazon Kinesis Training Course

There are no formal prerequisites to attend the Amazon Kinesis Training Course. However, a basic understanding of streaming data and cloud computing would be beneficial.  

Amazon Kinesis Training ​Course Overview

Amazon Kinesis is an Amazon Web Service (AWS) to process big data in real-time. Kinesis can process hundreds of terabytes per hour from high volumes of streaming data from different sources like financial transactions, operating logs, and social media feeds. This Amazon Kinesis Training is designed to provide a comprehensive knowledge on the working of Amazon Kinesis – Data streams, video streams, data analytics, data firehose, and Agent for Microsoft Windows.

In this 1-day course, delegates will learn about producer libraries and parser library. Also, delegates will learn how to troubleshoot kinesis video streams. They will get an understanding of how to set up kinesis data streams and how to create and manage Amazon Kinesis data streams. Delegates will become familiarised with data streams terminologies and concepts.

The Knowledge Academy’s Amazon Kinesis Training will teach delegates about how to create kinesis data firehose delivery stream. Delegates will be equipped with the knowledge of how to test delivery system and send data to kinesis data firehose delivery streams. Furthermore, they will learn how to use kinesis data firehose with AWS PrivateLink. Post completion of this training, delegates will learn about Amazon kinesis data analytics for SQL and Java applications. Also, they will get familiarised with the working of Amazon kinesis agent for Microsoft windows.

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What’s included in this Amazon Kinesis Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Amazon Kinesis Certificate
  • Digital Delegate Pack

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Online Instructor-led (2 days)

Online Self-paced (16 hours)

AWS Directory Service Training Course Outline

Module 1: AWS Directory Service

  • Introduction to AWS Directory Service
  • AWS Managed Microsoft Active Directory Editions
    • Standard Edition
    • Enterprise Edition

Module 2: Setting Up AWS Directory Service

  • Sign Up for an AWS Account
  • Create an IAM User

Module 3: AWS Managed Microsoft AD

  • Get Started with AWS Managed AD
    • AWS Managed Microsoft AD Prerequisites
    • Create AWS Managed Microsoft AD Directory
  • Key Concept
    • Active Directory Schema
    • Patching and Maintenance
    • Group Managed Service Accounts
    • Kerberos Constrained Delegation
  • Security, Monitoring and Managing AWS Managed Microsoft AD
    • How to Secure and Monitor Directory?
    • Share Directory
    • Join an EC2 Instance to Directory
    • Manage Users and Groups
    • Connect to Your Existing AD Infrastructure
    • Maintain Directory and Grant Access to AWS Resources
    • Enable Access to AWS Application and Services and Management Console
    • Deploy Additional Domain Controllers
    • Application Compatibility Policy for AWS Managed Microsoft AD
  • Troubleshooting AWS Managed Microsoft AD
    • DNS Troubleshooting and Linux Domain Join Errors
    • Unable to Read Import File
    • Syntax Error and Attribute or Value Exists
    • Trust Creation Status Reasons
    • General Tool for Testing Trusts

Module 4: Active Directory Connector

  • AD Connector Prerequisites
  • Create an AD Connector
  • Secure and Monitor AD Connector Directory
  • Join an EC2 Instance to AD Connector
  • Maintain AD Connector
  • Update DNS for AD Connector
  • Application Compatibility Policy for AD Connector
  • Troubleshooting AD Connector

Module 5: IAM Authentication and Access Control

  • Managing Access Permissions
  • Identity-Based Policies (IAM Policies)
  • Active Directory Service API Permissions Reference

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Who should attend this AWS Directory Service Training?

The AWS Directory Service Course is designed for individuals interested in mastering the usage of Amazon Web Services Directory Service for managing and securing directory-based identities and resources. This AWS Certification Training can be beneficial to various professionals, including:

  • Systems Administrators
  • Cloud Engineers
  • DevOps Engineers
  • Security Engineers
  • Application Developers
  • IT Managers
  • Business Analysts

Prerequisites of the AWS Directory Service Training

There are no formal prerequisites to attend the AWS Directory Service Course. However, a basic understanding of directory services and cloud computing would be beneficial to delegates. 

AWS Directory Service Training Course Overview

A deep understanding of AWS Directory Service is paramount. This course empowers professionals with the expertise needed to configure and effectively manage directory services, ensuring smooth authentication and authorisation processes and bolstering the overall security of AWS infrastructure.

Proficiency in AWS Directory Service is essential for AWS-certified Cloud Architects, System Administrators, and IT Professionals responsible for managing AWS environments. AWS Directory Service is pivotal in ensuring secure access management and compliance, empowering businesses to utilise AWS securely and efficiently. AWS Certifications like this further emphasise the importance of mastering AWS Directory Service for these roles.

This 2-day intensive training session focused on AWS Directory Services, provides delegates with in-depth knowledge and practical skills for setting up, configuring, and managing directory services on the AWS platform. By the end of the training, attendees will be proficient in implementing identity and access solutions, optimising resource usage, and enhancing security within their AWS infrastructure.

Course Objectives

  • To understand the fundamentals of AWS Directory Service
  • To configure and manage AWS Managed Microsoft AD
  • To implement Multi-Factor Authentication (MFA) for enhanced security
  • To integrate AWS applications with directory services
  • To troubleshoot common directory service issues
  • To optimise AWS resource utilisation
  • To enhance access control and authorisation

After completing this course, delegates will be well-equipped to harness the full potential of AWS Directory Service. They can confidently implement secure and efficient identity and access management solutions, adding value to their organisations and ensuring the integrity of AWS environments. Delegates can expand their AWS skills with The Knowledge Academy’s wide range of AWS Training Courses.

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What’s included in this AWS Directory Service Training?

  • World-Class Training Sessions from Experienced Instructors
  • AWS Directory Service Certificate
  • Digital Delegate Pack

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Online Instructor-led (2 days)

Online Self-paced (16 hours)

AWS Lambda Training​ Course Outline

Module 1: Introduction to AWS Lambda

  • What is AWS Lambda?
  • When Should I Use Lambda?
  • Lambda Features
  • Related Services
  • Accessing Lambda

Module 2: Setting Up

  • AWS Account
  • AWS CLI
  • AWS SAM
  • AWS SAM CLI
  • Tools for Container Images
  • Code Authoring Tools

Module 3: Lambda Foundations

  • Features
  • Programming Model
  • Architectures
  • Networking
  • Function Scaling
  • Deployment Packages
  • Lambda Console
  • Lambda CLI

Module 4: AWS Lambda Functions

  • Configuring Functions
  • Managing Functions
  • Invoking Functions

Module 5: Working with Services

  • Node.js
  • Python
  • Ruby
  • Java
  • Go
  • C#
  • PowerShell

Module 6: Monitoring

  • Monitoring Console
  • Function Insights, Metrics, and Logs
  • Code Profiler

Module 7: Security

  • Data Protection
  • Identity and Access Management
  • Compliance Validation
  • Resilience and Infrastructure Security
  • Configuration and Vulnerability Analysis

Module 8: Troubleshooting

  • Deployment
  • Invocation
  • Execution
  • Networking

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Who Should Attend the AWS Lambda Training Course?

The AWS Lambda Training Course is designed for professionals interested to learning serverless computing and building event-driven applications using Amazon Web Services (AWS) Lambda. This course will benefit the following professionals:

  • Software Developers
  • DevOps Engineers
  • Cloud Engineers
  • Systems Engineers
  • Machine Learning Engineers
  • Security Engineers
  • IT Managers

Prerequisites of the AWS Lambda Training Course

There are no formal prerequisites to attend the AWS Lambda Training Course. 

AWS Lambda Training Course Overview

This AWS Lambda Training Course offers an in-depth understanding of serverless computing and how it can benefit businesses and IT environments. AWS Lambda is a pivotal service within the Amazon Web Services (AWS) ecosystem that allows developers to run code without managing servers. It is widely used for building scalable applications, making it essential for professionals in cloud computing.

Proficiency in AWS Lambda is crucial for professionals who work with cloud infrastructure or serverless architectures. IT developers, system administrators, and cloud architects should consider mastering AWS Lambda to enhance their skills and optimise business processes by reducing operational costs and improving scalability.

This 2-days training course will equip delegates with the skills needed to design and deploy AWS Lambda functions efficiently. Through practical exercises and real-world scenarios, delegates will gain hands-on experience with Lambda triggers, scaling, and optimising serverless workflows. The course is designed to fast-track understanding and application of AWS Lambda capabilities.

Course Objectives

  • To understand the basics of AWS Lambda and serverless computing
  • To deploy Lambda functions and manage their lifecycle
  • To learn how to integrate Lambda with other AWS services
  • To explore real-world use cases for AWS Lambda
  • To gain insight into monitoring and troubleshooting Lambda functions
  • To optimise the performance of serverless applications

After completing this AWS Lambda Training Course, delegates will receive a certification, demonstrating their ability to work with AWS Lambda. This certification will validate their skills in building and managing serverless applications, further enhancing their career opportunities in cloud computing.

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What’s included in this AWS Lambda Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • AWS Lambda Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

AWS RoboMaker Training Course Outline

Module 1: Getting started

  • Concepts
  • Setting Up
  • Running First Simulation

Module 2: Development

  • Building Application Containers
  • Publishing Application Containers
  • Working with Robot Applications
  • Working with Simulation Applications
  • Versioning Applications
  • Using Images to Develop Applications

Module 3: Simulation

  • Running a Simulation
  • Configuring a Simulation
  • Managing a Simulation
  • Logging a Simulation
  • Batching Simulations

Module 4: Creating worlds

  • Simulation Worldforge Concepts
  • Understanding Simulation World Templates
  • Common Tasks
  • JSON Schema for Simulation World Template Body
  • Sample World Templates in JSON
  • Managing Simulation World Templates
  • Managing World Generation Jobs
  • Managing World Export Jobs
  • Using Exported Worlds in Simulation

Module 5: Security

  • Data Protection
  • Authentication and Access Control
  • Logging and Monitoring
  • Tagging Resources
  • Security Compliance
  • Resilience
  • Infrastructure Security
  • VPC Endpoints (AWS PrivateLink)

Module 6: API reference

  • Actions
  • Data Types
  • Common Errors
  • Common Parameters

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Who should attend this AWS RoboMaker Training?

The AWS RoboMaker Course is designed for professionals interested in robotics development and simulation using the Amazon Web Services (AWS) RoboMaker. This course can be beneficial to a wide range of professionals, which include:

  • DevOps Engineers
  • Robotics Engineers
  • Systems Administrators
  • Product Managers
  • Entrepreneurs
  • Autonomous Systems Engineers
  • Robotics Researchers

Prerequisites of the AWS RoboMaker Training

There are no formal prerequisites to attend the AWS RoboMaker Course. However, a basic understanding of Robotics and Cloud Computing   would benefit delegates.  

AWS RoboMaker Training Course Overview

The AWS RoboMaker Course introduces delegates to robotics and automation using Amazon Web Services (AWS). These technologies are crucial in industries like manufacturing, logistics, and healthcare. AWS RoboMaker simplifies the development, testing, and deployment of intelligent robots in the cloud.

This course equips delegates with the skills to use AWS RoboMaker effectively, which is vital for professionals in automation and robotics. It's relevant for Robotics Engineers, Software Developers, and those in autonomous vehicles, industrial automation, and IoT. AWS RoboMaker expertise enhances career prospects and supports innovative projects in robotics and AI.

This one-day training course is designed to provide delegates with practical skills and knowledge to harness the capabilities of AWS RoboMaker. Through hands-on exercises and real-world scenarios, delegates will become confident using AWS RoboMaker to efficiently build, test, and deploy robotic applications.

Course Objectives

  • To understand the fundamentals of AWS RoboMaker and its role in robotics development
  • To create and configure robotic simulation environments using AWS services
  • To integrate AI and Machine Learning capabilities into robotic systems
  • To implement best practices for testing and debugging robotic applications
  • To manage and scale robotic fleets efficiently on AWS
  • To optimise robotic application performance for real-world deployment
  • To stay updated with the latest trends and developments in cloud robotics

After completing the AWS RoboMaker Training Course, delegates will be well-prepared to address real-world challenges and implement cutting-edge solutions in the rapidly growing field of robotics and automation.

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What’s included in this AWS RoboMaker Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • AWS RoboMaker Certificate
  • Digital Delegate Pack

 

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

AWS EC2 with Linux Training Course Outline

Module 1: Get Started with Amazon EC2

  • What is Amazon EC2?
  • Features of Amazon EC2
  • Instances and AMIs
  • Regions and Availability Zones
  • Root Device Volume
  • Setting Up with Amazon EC2

Module 2: Amazon Machine Images (AMI) 

  • What is Amazon Machine Images (AMI)?
  • Types of AMI and Virtualisation
  • Finding a Linux AMI
  • Shared and Paid AMIs
  • Creating an Amazon EBS-Backed Linux AMI
  • Using Encryption with EBS-Backed AMIs
  • Copy an AMI
  • Deregistering Linux AMI
  • Amazon Linux
  • Running Amazon Linux 2 as a Virtual Machine On-Premises
  • User Provides Kernels

Module 3: Learn Instances 

  • Instance Types
  • Instance Purchasing Options
  • Instance Lifecycle
  • Configure Instances
  • Identify Instances

Module 4: Amazon Elastic Inference

  • What is Amazon Elastic Inference?

Module 5: Monitoring 

  • Monitoring in Amazon EC2
  • Automated Monitoring Tools
  • Manual Monitoring Tools
  • Monitoring the Status of Your Instances
  • Monitoring Your Instances Using CloudWatch
  • Automating Amazon EC2 with ClouldWatch Events
  • Monitoring Memory and Disk Metrics
  • Logging API Calls with AWS CloudTrails

Module 6: Network and Security

  • Key Pairs
  • Security Groups
  • Controlling Access
  • Instance IP Addressing
  • Elastic IP Address
  • Network Interfaces
  • Learn Enhanced Networking on Linux
  • Elastic Fabric Adapter
  • Placement Groups
  • Network MTU
  • Virtual Private Clouds
  • Introduction to EC2 Classic

Module 7: Storage

  • Amazon EBS
  • Instance Store
  • File Storage
  • Amazon S3
  • Instance Volume Limits
  • Device Naming
  • Block Device Naming

Module 8: EC2 Rescue for Linux

  • Introduction
  • Installing EC2 Rescue for Linux
  • Verify the Signature of EC2 Rescue for Linux
  • Working with EC2 Rescue for Linux
  • Developing EC2 Rescue Modules

Module 9: Troubleshooting

  • Troubleshoot Launch Instance
  • Troubleshooting Connecting to Your Instance
  • Troubleshooting Stopping Your Instance
  • Troubleshooting Terminating Your Instance
  • Failed Status Check
  • Troubleshoot an Unreachable Instance

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Who should attend this AWS EC2 with Linux Training?

The AWS EC2 with Linux Training Course is designed for professionals aiming to gain expertise in deploying and managing Linux instances on Amazon Web Services. This AWS Certification Course can be beneficial to various professionals, including:

  • System Administrators
  • DevOps Engineers
  • Solutions Architects
  • Cloud Engineers
  • Technical Leads
  • Operations Managers
  • IT Managers
  • Cloud Specialists

Prerequisites of the AWS EC2 with Linux Training Course

There are no formal prerequisites to attend the AWS EC2 with Linux Training Course. However, a basic understanding of Linux commands and operating system concepts can be beneficial to delegates.

AWS EC2 with Linux Training Course Overview

This training course provided by The Knowledge Academy delves into the world of Amazon Web Services (AWS), Elastic Compute Cloud (EC2) and Linux, providing essential knowledge and skills for cloud computing enthusiasts. With the growing reliance on cloud infrastructure, understanding AWS EC2 and Linux is crucial for modern IT professionals.

Proficiency in AWS EC2 and Linux is vital for IT professionals leveraging cloud computing for scalable and cost-effective solutions. System Administrators, DevOps Engineers, and Cloud Architects should aim to master this subject as it forms the backbone of cloud-based infrastructure and application deployment.

This 1-day training session provides delegates with the essential skills to effectively launch, manage, and secure virtual machines on AWS EC2 using Linux as their operating system. Delegates will gain hands-on experience in creating EC2 instances, configuring security, and optimising performance. The course empowers them to deploy applications in a cloud-native environment efficiently.

Course Objectives

  • To understand the fundamentals of AWS EC2 and Linux integration
  • To create and manage EC2 instances for various use cases
  • To implement security measures to safeguard EC2 instances and data
  • To optimise EC2 performance for cost-effectiveness
  • To explore automation techniques using Linux
  • To troubleshoot common EC2 and Linux issues
  • To ensure high availability and scalability in EC2 deployments
  • To foster best practices for cloud-native application deployment

After completing this course, you will have the skills and knowledge to use AWS EC2 with Linux effectively. This course will make you a valuable asset in cloud computing and IT infrastructure management, equipping you to confidently address real-world challenges and contribute to innovative cloud-based solutions.

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What’s included in this AWS EC2 with Linux Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • AWS EC2 with Linux Certificate
  • Digital Delegate Pack

Show moredown

Online Instructor-led (1 days)

Online Self-paced (8 hours)

Amazon WorkSpaces Training Course Outline

Module 1: Introduction to Amazon WorkSpaces

  • What is Amazon WorkSpaces?
  • Features of Amazon WorkSpaces
  • Understanding Architecture

Module 2: Networking, Access, and Security

  • Introduction
  • VPC for Amazon WorkSpaces
  • IP Address and Port Requirements
  • Network Requirements
  • Control Access and Trusted Devices in Amazon WorkSpaces
  • Internet Access
  • Security Groups
  • IP Access Control Groups

Module 3: Directories in Amazon WorkSpaces

  • Introduction to Directories
  • Registering Directory
  • Directory Management Tasks
  • Manage Windows WorkSpaces

Module 4: Monitoring Amazon WorkSpaces

  • Amazon WorkSpace Metrics
  • Dimensions for Amazon WorkSpace Metrics

Module 5: Troubleshooting

  • Enabling Advanced Logging
  • Common Troubleshooting Issues

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Who Should Attend the Amazon WorkSpaces Training Course?

The Amazon WorkSpaces Training Course is designed for professionals who want to master the setup, management, and optimisation of Amazon WorkSpaces, Amazon's fully managed desktop computing service. This course is beneficial to professionals, such as:

  • IT Administrators
  • System Administrators
  • Cloud Engineers
  • Solutions Architects
  • DevOps Engineers
  • Technical Leads
  • Operations Managers
  • IT Managers

Prerequisites of the Amazon WorkSpaces Training Course

There are no formal prerequisites to attend the Amazon WorkSpaces Training Course. However, a basic understanding of cloud computing and operating system concepts can be beneficial.

Amazon WorkSpaces Training Course Overview

Amazon WorkSpaces is a cloud-based desktop-as-a-service (DaaS) solution that allows organisations to provision virtual, secure desktops in the cloud. This innovative service enables users to access their applications and data from any device, improving flexibility, productivity, and collaboration. As businesses increasingly embrace remote work and digital transformation, the need for scalable, secure, and cost-effective desktop solutions like Amazon WorkSpaces has become essential.

Professionals such as IT administrators, system engineers, cloud architects, and DevOps engineers will greatly benefit from this course. Additionally, business managers and project leaders looking to optimise their organisational infrastructure for remote work will find this training invaluable. Understanding Amazon WorkSpaces will empower these professionals to manage resources efficiently and enhance overall organisational performance.

This 1-day course by The Knowledge Academy provides delegates with essential skills to deploy and manage Amazon WorkSpaces effectively. Delegates will learn to configure virtual desktops, manage user access, and optimise performance, enabling them to leverage the full potential of this powerful cloud solution for their organisations.

Course Objectives

  • To understand the architecture of Amazon WorkSpaces
  • To configure and launch virtual desktops
  • To manage user access and permissions
  • To monitor and optimise WorkSpaces performance
  • To integrate with AWS services for enhanced functionality
  • To troubleshoot common issues and implement best practices

Upon completion of the course, delegates will possess the practical skills needed to implement and manage Amazon WorkSpaces effectively, driving productivity and flexibility within their organisations while ensuring a secure and scalable desktop environment for users.

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What’s included in this Amazon WorkSpaces Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Amazon WorkSpaces Certificate
  • Digital Delegate Pack

Show moredown

Online Instructor-led (1 days)

Online Self-paced (8 hours)

Amazon Managed Blockchain Training​ Course Outline

Module 1: Get Started with AWS Managed Blockchain

  • Introduction to Managed Blockchain
  • Managed Blockchain Concepts
  • Create and Delete a Network
  • Invite Network Members
  • Create KMS Keys

Module 2: Accept an Invitation and Create Members

  • Work with Invitations
  • Create Member

Module 3: Work with Peer Nodes and Create an Interface VPC Endpoint

  • Create a Peer Node
  • Using Peer Nodes Metrics

Module 4: Create an Interface VPC Endpoint

  • Create an Interface VPC Endpoint

Module 5: Working with Hyperledger Fabric

  • Develop Chaincode
    • Considerations and Limitations
    • Work with Private Data Collections in Hyperledger Fabric
    • Query Chaincode Data in the State Database
    • Specifying and Viewing the State Database Type

Module 6: Security and Tagging Resources

  • Data Protection
  • Authentication and Access Control
  • IAM Policies

Module 7: Security and Tagging Resources

  • Tagging Amazon Managed Blockchain Resources

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Who Should Attend the Amazon Managed Blockchain Training Course?

The Amazon Managed Blockchain Training is designed for professionals interested in understanding and utilising Amazon Web Services (AWS) Managed Blockchain for building, managing, and scaling blockchain networks. This course will benefit the following professionals:

  • Blockchain Developers
  • DevOps Engineers
  • Technical Leads
  • Blockchain Project Managers
  • Cryptocurrency Developers
  • Blockchain Technology Consultants
  • Entrepreneurs

Prerequisites of the Amazon Managed Blockchain Training Course

There are no formal prerequisites to attend the Amazon Managed Blockchain Training Course. However, a basic understanding of blockchain and cloud computing would be beneficial.  

Amazon Managed Blockchain Training​ Course Overview

In this course, delegates will learn about Amazon Managed Blockchain. It is a fully managed services to create and maintain a Blockchain network using an open-source framework. Blockchain allows delegates to build an application where multiple parties can securely run the transaction and share data.

During this 1-day course, delegates will learn how to use managed blockchain network quickly and efficiently using AWS CLI and AWS Management Console. Delegates will become familiarised with managed blockchain networks, members and peer nodes. They will gain an understanding of how to create an interface VPC endpoints. They also learn how to automatically managed Blockchain proposal notifications with cloudWsatch events. This course explains how to work with hyperledger fabric and how to protect the data and configure security groups.

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What’s included in this Amazon Managed Blockchain Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Amazon Managed Blockchain Certificate
  • Digital Delegate Pack

Show moredown

Online Instructor-led (1 days)

Online Self-paced (8 hours)

Amazon Virtual Private Cloud (VPC) Training Course Outline

Module 1: Working of Amazon VPC

  • What is Amazon VPC?
  • Subnets
  • IP Addressing
  • Route Tables
  • Access Internet
  • AWS Private Global Network Considerations

Module 2: Virtual Private Clouds

  • VPC’s Working
  • Default VPC’s
  • DHCP Option Sets
  • DNS Attributes

Module 3: Subnets

  • Work with Subnets
  • Subnet CIDR Reservations
  • Managed Prefix Lists
  • Route Tables
  • Network ACLs

Module 4: Connect VPC

  • Egress-Only Internet Gateways
  • NAT Devices
  • AWS Transit Gateway
  • AWS Virtual Private Network

Module 5: Security

  • Data Protection
  • Infrastructure Security
  • Identity and Access Management
  • Security Groups

Module 6: Advanced Amazon Virtual Private Cloud

  • VPC Endpoint Overview
  • Gateway VPC Endpoints
  • IP Addressing Features

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Who Should Attend the Amazon Virtual Private Cloud Training Course?

The Amazon Virtual Private Cloud Training Course is designed for professionals aiming to develop expertise in creating, configuring, and managing isolated network environments within the Amazon Web Services cloud. This course will benefit the following professionals:

  • Cloud Architects
  • Solutions Architects
  • Network Engineers
  • DevOps Engineers
  • System Administrators
  • IT Managers
  • Security Engineers
  • Infrastructure Manager

Prerequisites of the Amazon Virtual Private Cloud Training Course

There are no formal prerequisites to attend the Amazon Virtual Private Cloud Training Course. However, a basic understanding of cloud computing and networking can be beneficial.

Amazon Virtual Private Cloud (VPC) Training​ Course Overview

Amazon Virtual Private Cloud (VPC) allows customising the virtual network for the launch of AWS resources. The customising activity is performing in an isolated section of the AWS cloud environment, and it will enable having complete control over the defined virtual networking environment. This environment of network contains IP address range, creation of subnets configuration of route tables and network gateways. For security, use IPv4 and IPv6 in Virtual Private Cloud, which will give the high availability of resources and applications.

This 1-day course will welcome delegates with the knowledge of virtual private cloud as well as VPC networking components. Delegates will get an understanding of security groups, subnets, Network Address Translation (NAT), and Virtual Private Network (VPN). This course comprises all end to end key points of networking knowledge content.

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What’s included in this Amazon Virtual Private Cloud Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Amazon Virtual Private Cloud Certificate
  • Digital Delegate Pack

Show moredown

Online Instructor-led (1 days)

Online Self-paced (8 hours)

Amazon Redshift Training Course Outline

The following module series is designed to provide quality training. Delegates will gain knowledge from bottom to top-level in data warehousing and understand cloud cluster and Amazon Redshift as well.

Module 1: Introduction to Amazon Redshift

  • What is Amazon Redshift?
  • Benefits
  • Data Warehouse System Architecture
  • Performance
  • Columnar Storage
  • Workload Management

Module 2: Automatic Table Optimisation

  • Working with Column Compression
  • Working with Data Distribution Styles
  • Working with Sort Keys
  • Table Constraints

Module 3: Loading and Unloading Data

  • Update with DML
  • Updating and Inserting
  • Performing a Deep Copy
  • Analyse and Vacuum Tables
  • Manage Concurrent Write Operations
  • Unload Data to Amazon S3 and Encrypted Data Files
  • Unloading Data in Delimited or Fixed-Width Format
  • Reloading Unloaded Data

Module 4: Create User Defined Functions and Stored Procedure

  • UDF Security and Privileges
  • Creating a Scalar SQL UDF, Python UDF, and Lambda UDF
  • Stored Procedure Overview

Module 5: Sharing Data Across Clusters

  • Data Sharing Overview
  • Amazon Redshift Data Sharing
  • Data Sharing Lifecycle
  • Manage Permissions for Data Shares
  • Cluster Management and Data Sharing
  • Accessing Metadata for Data Shares
  • AWS Data Exchange for Amazon Redshift

Module 6: Managing Database Security

  • Amazon Redshift Security Overview
  • Default Database User Privileges
  • Superusers
  • Role-based Access Control

Module 7: SQL Reference and Configuration Reference

  • Amazon Redshift SQL
  • SQL, SQL Commands, and Functions Reference
  • Modify the Server Configuration

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Who Should Attend the Amazon Redshift Training Course?

The Amazon Redshift Training Course is designed for individuals who want to master Amazon's data warehousing solution for analysing large datasets. This course will benefit the following professionals:

  • Data Analysts
  • Business Intelligence Professionals
  • Data Engineers
  • Data Scientists
  • Database Administrators
  • ETL Developers
  • Cloud Architects
  • Analytics Managers

Prerequisites of the Amazon Redshift Training Course

There are no formal prerequisites to attend the Amazon Redshift Training Course. However, a basic understanding of cloud computing and relational databases can be beneficial.

Amazon Redshift Training​ Course Overview

The Amazon always provides the quality products and services to the development environment as a cloud computing platform provider. Amazon presented the data warehouse technology as Amazon Redshift product. Technically, Amazon Redshift is a reliable, fast, fully managed petabyte-scale cloud-based data warehouse product, and it is continuously responding to the large-scale data migration. All these features of Amazon redshift help majority of organisations to grow fast and provide an excellent opportunity to get in an IT profession.

This 1-day course will teach delegates about Redshift fundamentals. From this training, delegates will learn about what is a data warehouse and Amazon redshift. Delegates will get an understanding of its architecture and features as well. This course also includes a data loading module, and delegates will gather knowledge of data distribution concepts and learn about troubleshooting strategies. During this course, delegates will also be introduced to data integration, analysis, and visualisation with Redshift.

On course completion, delegates will get a better understanding of Amazon Redshift and will be able to manage the data warehouse with Amazon Redshift and use it accordingly.

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What’s included in this Amazon Redshift Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Amazon Redshift Certificate
  • Digital Delegate Pack

Show moredown

Online Instructor-led (1 days)

Online Self-paced (8 hours)

AWS Identity and Access Management (IAM) Training​ Course Outline

Module 1: Introduction to IAM

  • What is IAM?
  • How IAM Works?
  • Permissions and Policies in IAM
  • What is ABAC?
  • Security Features Outside IAM
  • Working with AWS SDKs

Module 2: Identities

  • Users and User Groups
  • Roles
  • Tagging IAM Resources
  • Temporary Security Credentials
  • AWS Account Root User
  • Log Events with CloudTrail

Module 3: Access Management

  • Policies and Permissions
  • Managing IAM Policies
  • Permissions Required

Module 4: Security

  • Data Protection
  • Logging and Monitoring
  • Compliance Validation
  • Resilience
  • Infrastructure Security
  • Configuration and Vulnerability Analysis
  • Security Use Cases
  • AWS Managed Policies

Module 5: Access Analyser

  • Resource Types
  • How Access Analyser Works?
  • Settings
  • Access Analyser Findings
  • Access Analyser Policy Validation and Generation
  • Archive Rules
  • Preview Access
  • Access Analyser Reference
  • Monitoring with EventBridge
  • Security Hub Integration
  • Logging with CloudTrail

Module 6: Troubleshooting IAM

  • General Issues
  • Access Denied Error Messages
  • IAM Policies
  • FIDO Security Keys
  • IAM Roles
  • IAM and Amazon EC2
  • IAM and Amazon S3
  • SAML Federation

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Who should attend this AWS Identity and Access Management (IAM) Training?

The AWS IAM Training Course is designed for professionals seeking to master the fundamental aspects of Identity and Access Management in Amazon Web Services. This course can be beneficial to various professionals, including:

  • System Administrators
  • Security Professionals
  • Solutions Architects
  • DevOps Engineers
  • Compliance Officers
  • Cloud Security Specialists
  • Technical Leads
  • IT Managers

Prerequisites of the AWS Identity and Access Management (IAM) Training

There are no formal prerequisites to attend the AWS Identity and Access Management Course. However, a basic understanding of cloud computing, networking and identity concepts, and access control concepts can be beneficial to delegates.

AWS Identity and Access Management (IAM) Training Course Overview

AWS Identity and Access Management (IAM) is a critical service that enables organisations to securely manage access to AWS resources. With the growing use of cloud infrastructure, IAM provides essential control over who can access specific resources, ensuring only authorised users have the appropriate permissions. This service helps safeguard sensitive data, maintain compliance, and reduce security risks across cloud environments.

This course is beneficial for cloud architects, system administrators, security engineers, and IT professionals responsible for managing AWS environments. It is also ideal for DevOps engineers and compliance officers who need to enforce security policies, ensuring data protection and regulatory adherence in their organisations.

This 1-day course by The Knowledge Academy equips professionals with the skills needed to configure and manage AWS IAM effectively. Delegates will learn to create and manage users, roles, and policies, ensuring secure and scalable access control in AWS environments.

Course Objectives

  • To understand the core concepts of AWS IAM
  • To create and manage IAM users and groups
  • To implement IAM policies to control resource access
  • To explore IAM roles for cross-account access
  • To learn to audit and monitor IAM activity
  • To enhance security with Multi-Factor Authentication (MFA)
  • To achieve compliance with IAM best practices

After completing this course, delegates will have a strong understanding of AWS IAM, enabling them to implement strong security measures and maintain compliance in their AWS setups. They will possess the knowledge and skills required to excel in AWS-related roles and make valuable contributions to their organisation's cloud security and management endeavours.

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What’s included in this AWS Identity and Access Management Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • AWS Identity and Access Management Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Amazon Workmail Training​ Course Outline

Module 1: Introduction to Amazon WorkMail

  • What is Amazon WorkMail?
  • Amazon WorkMail
    • System Requirements
    • Concepts
  • AWS Services
  • Amazon WorkMail Resources

Module 2: Security in Amazon WorkMail

  • Data Protection in Amazon WorkMail
  • Identity and Access Management for Amazon WorkMail
  • Using Service-Linked Roles for Amazon WorkMail
  • Logging and Monitoring in Amazon WorkMail
  • Compliance Validation for Amazon WorkMail
  • Resilience in Amazon WorkMail
  • Infrastructure Security in Amazon WorkMail

Module 3: Work with Organisations

  • Create an Organisation
  • Delete an Organisation
  • Work with Organisation Settings
  • Enforce DMARC Policies on Incoming Email

Module 4: Work with Domains

  • Add a Domain
  • Remove a Domain
  • Choose the Default Domain
  • Verify Domains
  • Enable AutoDiscover to Configure Endpoints
  • Edit Domain Identity Policies
  • Authenticate Email with SPF
  • Configure a Custom MAIL from Domain

Module 5: Working with Users

  • Managing User Accounts
  • Viewing Email Headers
  • Working with Notifications
  • Enabling Signed or Encrypted Email

Module 6: Export Mailbox Content

  • IAM Policy and Role Creation
  • Export Mailbox Content
  • Considerations
  • Troubleshooting Mail Routing Issues

Module 7: Working with Resources

  • Create a Resource
  • Edit Resource Details
  • Disable a Resource
  • Enable a Resource
  • Delete Resource

 

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Who Should Attend the Amazon Workmail Training Course?

The Amazon WorkMail Training Course is designed for professionals seeking to enhance their skills in setting up, managing, and securing email and calendaring services using Amazon WorkMail. This course will benefit the following professionals:

  • IT Administrators
  • System Administrators
  • Email Administrators
  • Cloud Engineers
  • Solutions Architects
  • DevOps Engineers
  • Operations Managers
  • IT Managers

Prerequisites of the Amazon Workmail Training Course

There are no formal prerequisites to attend the Amazon Workmail Training Course. However, a basic understanding of cloud computing and emails can be beneficial.

Amazon Workmail Training​ Course Overview

Amazon web services is a cloud-based services provider. On this cloud platform, Developers and IT professionals have more opportunities to develop and deploy the best products by future technologies. From a business perspective, Amazon is also providing services for business development and increase productivity within organisations. The Amazon Workmail is Secure and managed business email and other calendar services that support desktop and mobile email client applications. With the help of Amazon Workmail, user can access emails, contacts and calendars using the client applications, any client application supporting the IMAP protocol, or directly through a web browser. In addition, delegates will be able to integrate Amazon Workmail with the existing corporate directory.

This 1-day course is the journey about the Amazon Workmail. Delegates will learn about Amazon Workmail system requirements and its concepts. From this course, delegates will get an understanding of user and administration tasks and acquire a complete knowledge about Amazon Workmail. This course will cover the basics terms and advance terms of Amazon Workmail. At the administrator level, delegates will learn about security, how to work with an organisation, domains, and how to manage the users and groups. On course completion, delegates will be able to manage the administrative support and users within troubleshooting tasks on Amazon Workmail.

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What’s included in this Amazon Workmail Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Amazon Workmail Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Introduction to AWS Security Course Outline

Module 1: Introduction to Cloud Security 

  • What is Cloud Security?
  • Benefits of Cloud Security

Module 2: Secure Global Infrastructure and Compliance

  • Region, Availability Zones
  • VPC Endpoints
  • IAM and Compliance

Module 3: Secure Responsibility and Trusted Advisor

  • Shared Responsibility Model
  • Trusted Advisor

Module 4: Identity and Access Management (IAM)

  • Root User
  • Users and Groups
  • Roles and Policies
  • Access Advisor

Module 5: Encryption Essentials

  • Symmetric and Asymmetric Encryption
  • HSM and KMS
  • Create a Symmetric Key

Module 6: Operating System-Level Access

  • SSH Overview
  • Bastion Host
  • Linux Examples
  • Windows Remote Desktop Example
  • Window PuTTY Example

Module 7: Introduction to Data Security

  • Securing Data in Amazon S3 Glacier
  • Securing Data at Rest: EBS and RDS
  • Securing Data at Rest: DynamoDB and EMR
  • Securing Data in Transit
  • Data Protection in Amazon S3

Module 8: Operating System Security

  • Custom AMIs and Bootstrapping
  • AWS Systems Manager- Patching
  • Mitigating Malware

Module 9: Infrastructure Security

  • VPC Security
  • Network Segmentation
  • AWS Web Application Firewall and Shield
  • Testing Security
  • Threat Protection Layers

Module 10: Monitoring, Alerting, and Auditing

  • Basics of Monitoring
  • AWS Config
  • AWS System Manager- Inventory
  • AWS Inspector
  • AWS GuardDuty
  • Config to Audit Resources

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Who should attend this Introduction to AWS Security Course?

The Introduction to AWS Security Course is designed for professionals seeking to understand the fundamental concepts of securing applications and data in the Amazon Web Services environment. This course can be beneficial to various professionals, including:

  • IT Managers
  • Security Analysts
  • Network Engineers
  • Cloud Architects
  • DevOps Engineers
  • System Administrators
  • Software Developers
  • Compliance Officers

Prerequisites of the Introduction to AWS Security Course

There are no formal prerequisites to attend the Introduction to AWS Security Course. However, a basic understanding of security and cloud computing would benefit delegates.

 

Introduction to AWS Security Course Overview

This Introduction to AWS Security Course offered by The Knowledge Academy emerges as a critical learning opportunity. This course delves into Amazon Web Services (AWS) security, emphasising its profound relevance in safeguarding sensitive data and ensuring the integrity of cloud-based systems.

Proficiency in AWS Security is paramount for IT Professionals, Cloud Architects, and Security Specialists. Mastery of this subject empowers them to protect valuable digital assets, mitigate vulnerabilities, and adhere to compliance standards, ultimately fortifying their organisation's cyber defences.

This 1-day training by The Knowledge Academy, equips delegates with a comprehensive understanding of AWS Security. Delegates will learn to implement robust security measures, configure AWS services securely, and respond effectively to security incidents. The course blends theory and hands-on exercises, ensuring practical knowledge transfer.

Course Objectives

  • To understand AWS Security Fundamentals
  • To learn about Identity and Access Management (IAM) best practices
  • To explore encryption techniques for data protection
  • To master AWS Security Groups and Network ACLs
  • To gain insights into AWS CloudTrail and AWS Config
  • To implement incident response and disaster recovery strategies
  • To ensure compliance through AWS Security services

After completing this course, delegates will have the skills and knowledge to secure AWS environments effectively. They can confidently contribute to improving their organisation's cloud security, protecting data, and mitigating potential threats.

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What’s included in this Introduction to AWS Security Course?

  • World-Class Training Sessions from Experienced Instructors
  • Introduction to AWS Security Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Amazon Sumerian Training​ Course Outline

Module 1: What is Amazon Sumerian?

  • IAM Managed Policies for Sumerian
  • Granting a Scene Access to AWS Services
  • Restricting Access to a Published Scene
  • Scenes, Components, and Entities
  • Assets, Hosts, Projects, and Templates

Module 2: Amazon Sumerian Dashboard

  • Projects
  • Scenes
  • Asset Packs
  • Templates
  • Trash
  • Locks

Module 3: Amazon Sumerian Editor

  • Amazon Sumerian Editor Canvas
  • Importing Assets from the Asset Library in the Amazon Sumerian Editor
  • Using the Assets Panel, Entities Panel, and Inspector
  • Using the Tools in the Amazon Sumerian Editor
  • Keyboard and Mouse Controls for the Amazon Sumerian Editor
  • Publishing Scenes in the Amazon Sumerian Editor

Module 4: Amazon Sumerian Scene Settings

  • Configuring AWS Credentials for Amazon Sumerian Scene
  • Creating Snapshots of Amazon Sumerian Scene
  • Configuring the Canvas for Amazon Sumerian Scene
  • Configuring Environment Settings for Amazon Sumerian Scene
  • Configuring Post-Processing Effects for Amazon Sumerian Scene
  • Calculating the Size of Amazon Sumerian Scene
  • Viewing Performance Information for Amazon Sumerian Scene

Module 5: Amazon Sumerian Entities and Components

  • Managing Entities and Components
  • Transform, Geometry, Material, and Camera Component
  • HMD Camera Component
  • VR Controller Component
  • Host, Speech, and Dialogue Component
  • 2D Graphics Component
  • HTML, Sound, Animation, and Light Components
  • Particle System Component
  • Amazon Sumerian Physics
  • State Machine, Script, and Timeline Component

Module 6: Amazon Sumerian Assets

  • Amazon Sumerian Asset Packs and Scene Templates
  • Amazon Sumerian Virtual Reality Tools and Augmented Reality Tools
  • Amazon Sumerian Hosts
  • Models, Skybox, and Media

Module 7: Amazon Sumerian State Machine

  • Animation State Machine Actions
  • Audio and Camera State Machine Actions
  • AWS Feature State Machine Actions
  • Keyboard and Mouse State Machine Actions
  • Effects and Lighting State Machine Actions
  • Materials and Rendering State Machine Actions
  • Physics and Collision State Machine Actions
  • Logic and Transition State Machine Actions
  • Attribute and Tag State Machine Actions

 Module 8: Scripting and Troubleshooting

  • Built-in Scripts
  • Context Object
  • Parameters and Arguments
  • External Dependencies
  • Debugging
  • Troubleshooting Issues with Amazon Sumerian Scenes

 

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Who Should Attend the Amazon Sumerian Training Course?

The Amazon Sumerian Training Course is designed to provide a comprehensive understanding to professionals interested in exploring the world of augmented reality, virtual reality, and 3D content creation. This course will benefit the following professionals:

  • AR/VR Developers
  • Game Developers
  • Web Developers
  • Designers
  • Content Creators
  • Innovators and Entrepreneurs
  • Creative Professionals

Prerequisites of the Amazon Sumerian Training Course

There are no formal prerequisites to attend the Amazon Sumerian Training Course. However, a basic understanding of cloud computing and 3D graphics can be beneficial.

Amazon Sumerian Training​ Course Overview

In this developing world, technology varieties are increasing rapidly day by day Technologies are chasing the future, and from these technologies, virtual reality technology is the realisation of reality. Amazon cloud computing platform is upgrading within the future technology and Amazon is always ahead to develop the technology for the world. Amazon Sumerian is a collaboration of tools to build a high-quality Augmented Reality (AR), Virtual Reality (VR), and 3D applications without any programming or 3D graphics expertise. The Sumerian 3D engine provides a library for advanced scripting with JavaScript and delegates do not need to be a programmer to create collaborative AR, VR and 3D applications.

During this course, delegates will learn about the Amazon Sumerian and required components. This course is designed for all levels, whether beginners or advanced. Delegates will get an understanding of tools that are used for creating VR, AR, and 3D applications.

This 1-day course will teach delegates about the Sumerian libraries like primitive shapes, 3D models, hosts, textures, and scripts. On course completion, delegates will be able to build the AR, VR, and 3D applications.

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What’s included in this Amazon Sumerian Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Amazon Sumerian Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Amazon S3 Glacier Training ​Course Outline

The following modules comprise topics that will help you to get a complete understanding of Amazon S3 Glacier.

Module 1: Introduction to Amazon S3 Glacier

  • What is Amazon S3 Glacier?
  • Using S3 Glacier
  • Data Model
  • Supported Operations
  • Accessing Amazon S3 Glacier

Module 2: Getting Started with Amazon S3 Glacier

  • Before You Begin
  • Create a Vault
  • Upload an Archive to a Vault
  • Download an Archive from a Vault
  • Delete an Archive from a Vault
  • Delete a Vault

Module 3: Vaults and Archives

  • Working with Vaults
  • Working with Archives

Module 4: Using the Amazon SDKs

  • Using S3 Glacier with an AWS SDK
  • Using the AWS SDK for
    • Java
    • .NET

Module 5: Security

  • Data Protection
  • Identity and Access Management
  • Logging and Monitoring
  • Compliance Validation
  • Resilience
  • Infrastructure Security

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Who Should Attend the Amazon S3 Glacier Training Course?

The Amazon S3 Glacier Training Course is designed for individuals who want to understand and utilise Amazon's archival storage solution for data archiving and long-term backup. This course will help the following professionals:

  • Data Architects
  • Storage Administrators
  • IT Managers
  • Cloud Engineers
  • Backup and Recovery Specialists
  • Compliance Officers
  • Data Managers

Prerequisites of the Amazon S3 Glacier Training Course

There are no formal prerequisites to attend the Amazon S3 Glacier Training Course. However, a basic understanding of cloud computing and object storage can be beneficial.

Amazon S3 Glacier Training ​Course Overview

Amazon S3 Glacier is a vault as a container that stores archives and a compartment to manage records and document which can be an object such as photo, video, or records that store in a vault. An archive is the base unit of storage in the glacier. AWS Glacier is a storage service providing durable storage with security features for data archiving and backup. In this Amazon Storage service, delegates will create a vault to store the documents. For archive management, Amazon S3 Glacier uses the section of AWS Software Development Kits (SDKs) for Java and .NET high-level API. Whilst working with Glacier, the high-level API provides a simplified programming experience.

This 1-day course will start teaching from Amazon S3 Glacier like storage overview and its working. Delegates will learn about data models supported operations in a glacier, working with vaults and archives as well as how to upload and download records. The AWS SDKs is also included in this course to get a complete understanding of the low level and high-level APIs.

During this course, delegates will also learn about security in Amazon S3 Glacier how it works and strategies, tagging resources, security policies. Delegates will gather knowledge of audit logging with AWS CloudTrail and will get a complete understanding of AWS storage service. Post completion of this training, delegates will be able to manage the archives in the container of AWS S3 Glacier and do all operations of this AWS services programmatically.

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What’s included in this Amazon S3 Glacier Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Amazon S3 Glacier Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Amazon AppStream Training​ Course Outline

Module 1: What is Amazon AppStream 2.0?

  • Setting Up
  • Set Up with Sample Applications

Module 2: Networking and Access

  • Internet Access
  • VPC Requirements
  • Amazon S3 VPC Endpoints
  • AppStream 2.0 Connections to Your VPC
  • User Connections to AppStream 2.0

Module 3: Fleets and Stacks

  • Fleet Types
  • Instance Families
  • Create a Fleet and Stack
  • Customise a Fleet
  • Update a Fleet

Module 4: User Authentication

  • AppStream 2.0 User Pools

Module 5: Enable Application Settings Persistence for Your Users

  • How Application Settings Persistence Works
  • Enabling Application Settings Persistence
  • Administer the VHDs for Your Users' Application Settings

Module 6: Manage Application Entitlements

  • Attribute-Based Application Entitlements
  • Dynamic Application Framework

Module 7: Monitoring and Reporting

  • Monitoring Resources
  • Usage Reports
  • Logging AppStream 2.0 API Calls

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Who Should Attend the Amazon AppStream Training Course?

The Amazon AppStream Training Course is tailored for professionals who aim to gain expertise in leveraging Amazon AppStream for secure and scalable application streaming. This course will benefit the following professionals:

  • Cloud Architects
  • System Administrators
  • DevOps Engineers
  • Application Developers
  • IT Managers
  • Solution Architects
  • Software Engineers

Prerequisites of the Amazon AppStream Training Course

There are no formal prerequisites to attend the Amazon AppStream Training Course. However, a basic understanding of cloud computing and virtual machines would be beneficial.

Amazon AppStream Training​ Course Overview

Amazon AppStream is a fully managed application streaming service providing users with instant access to their desktop applications from anywhere. It manages the AWS resources required to host and run applications, scale automatically and provides users access to the applications required on the device of their choice, with a responsive, fluid user experience that is indistinguishable from natively installed applications.

In this 1-day course, delegates will learn how to create an AppStream 2.0 image builder and how to deploy an image builder. They will also learn how to connect to the image builder and install the application. This course explains how to create an AppStream application catalog and how to test an application by using a local user account.

During this course, delegates will get an understanding of how to configure a fleet and network. They will also learn how to create an AppStream 2.0 Stack and streaming URL. In addition, delegates will acquire knowledge of how to manage user access with an AppStream user pool. Post completion of this training, delegates will be able to create and configure network resources manually.

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What’s included in this Amazon AppStream Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Amazon AppStream Certificate
  • Digital Delegate Pack

Show moredown

Online Instructor-led (1 days)

Online Self-paced (8 hours)

AWS EMR Training Course Outline

Module 1: Introduction to Amazon EMR

  • Overview of Amazon EMR 
  • Understanding Cluster and Nodes 
  • Understand Processing Data
  • Understanding the Architecture
  • Benefits of Amazon EMR 

Module 2: Amazon EMR Notebooks

  • Amazon EMR Notebooks Overview  
  • Creating Notebook
  • Notebooks Working Concepts 

Module 3: Plan and Configure Clusters with Amazon EMR

  • Configure Cluster Location and Data Storage   
  • Using EMR File System 
  • Cluster Termination
  • Setting Up AMIs
  • Configuring Cluster Software
  • Configuring Cluster Hardware and Networking
  • Configuring Cluster Debugging 

Module 4: Manage Cluster in Amazon EMR

  • Monitoring of Cluster   
  • Scaling Cluster Resources
  • Cloning a Cluster Using the Console

Module 5: Security in Amazon EMR

  • Security Configurations
  • Data Protection in Amazon EMR
  • Kerberos, Secure Socket Shell (SSH)
  • Amazon EC2 Security Groups 

Module 6: Troubleshooting in Cluster

  • Troubleshooting Strategies
  • Tools for Troubleshooting

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Who should attend this AWS EMR Training?

The AWS EMR Course is tailored for professionals seeking to gain expertise in Amazon Web Services Elastic MapReduce, a cloud-based big data processing service. This course can be beneficial to various professionals, including:

  • Data Engineers
  • Data Analysts
  • Data Scientists
  • Big Data Developers
  • Solution Architects
  • Software Engineers
  • DevOps Engineers
  • System Administrators

Prerequisites of the AWS EMR Training Course

There are no formal prerequisites to attend the AWS EMR Course.

AWS EMR Training Course Overview

The AWS EMR, or Amazon Elastic MapReduce, is a powerful cloud service for processing large amounts of data quickly and cost-effectively. Managing and analysing big data is efficiently paramount. AWS EMR plays a key role in enabling organisations to harness the potential of their data, making it a crucial skill for professionals seeking to excel in data analytics and cloud computing.

Proficiency in AWS EMR is vital as it empowers Data Engineers, Data Scientists, and Cloud Architects to process, analyse, and visualise data at scale efficiently. With AWS EMR expertise, professionals can unlock valuable insights, improve decision-making, and reduce operational costs.  AWS EMR Training is particularly relevant for IT Professionals, Data Analysts, and Business Intelligence Experts looking to enhance their career prospects.

In this 1- day AWS EMR Training, provided by The Knowledge Academy, delegates will gain a thorough understanding of AWS Elastic MapReduce (EMR), including its architecture and operational principles.  AWS EMR Training covers cluster planning and configuration for master, task, and core nodes. It also includes hands-on experience with Amazon Machine Images (AMIs) and cluster management. Delegates will acquire knowledge of cluster security and troubleshooting strategies.

Course Objectives

  • To understand the fundamentals of AWS EMR and its role in big data processing
  • To learn to create and manage EMR clusters for different workloads
  • To gain proficiency in utilising Hadoop and Spark on AWS EMR
  • To explore data storage options and integration with AWS services
  • To optimise EMR performance and cost-efficiency
  • To implement security and access controls for data on EMR clusters
  • To analyse and visualise data using EMR and related tools
  • To troubleshoot common issues and best practices for EMR deployment

After successfully completing this AWS EMR Training, delegates will acquire the practical skills and industry-relevant knowledge necessary to confidently address significant data challenges, enhance their organisation's data analytics capabilities.

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What’s included in this AWS EMR Training?

  • World-Class Training Sessions from Experienced Instructors
  • AWS EMR Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Amazon DocumentDB with MongoDB Course Outline

This course teaches how to create an Amazon DocumentDB Cluster and how to manage, monitor Amazon DocumentDB.

Module 1: Introduction

  • What is Amazon DocumentDB?
  • How It Works?
  • MongoDB Compatibility
  • Functional Differences with MongoDB
  • Supported MongoDB APIs, Operations, and Data Types

Module 2: Security

  • Data Protection
  • Identity and Access Management
  • Manage Amazon DocumentDB Users
  • Role-Based Access Control
  • Logging and Monitoring
  • Update Certificates — GovCloud
  • Compliance Validation
  • Resilience, Infrastructure Security, and Auditing Events

Module 3: Back Up and Restore

  • Overview
  • Understand Backup Storage Usage
  • Dumping, Restoring, Importing, and Exporting Data
  • Cluster Snapshot Considerations
  • Compare Automatic and Manual Snapshots
  • Create a Manual Cluster Snapshot
  • Copy and Share Cluster Snapshot
  • Restore and Delete from a Cluster Snapshot
  • Restore to a Point in Time

Module 4: Manage Amazon DocumentDB

  • Operational Tasks Overview
  • Global Clusters, Manage Clusters, Instances, and Subnet Groups
  • High Availability and Replication
  • Manage Events
  • Choose Regions and Availability Zone
  • Manage Cluster Parameter Groups
  • Understand Endpoints and Amazon DocumentDB ARNs
  • Tagging Resources and Maintaining Amazon DocumentDB
  • Understand Service-Linked Roles

Module 5: Monitoring Amazon DocumentDB

  • Monitoring a Cluster's and Instance's Status
  • Event Subscriptions
  • Monitoring Amazon DocumentDB with CloudWatch
  • Logging Amazon DocumentDB API Calls with CloudTrail
  • Profiling Operations
  • Monitoring with Performance Insights

Module 6: Developing with Amazon DocumentDB

  • Connect Programmatically
  • Use Change Streams
  • Connect as a Replica Set
  • Connect from Outside an Amazon VPC
  • Connect Using Robo 3T, Studio 3T, and Amazon EC2
  • Connect Using JDBC Driver
  • Quotas and Limits

Module 7: Troubleshooting

  • Connection Issues
  • Index Creation
  • Performance and Resource Utilisation

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Who Should Attend the Amazon DocumentDB with MongoDB Course?

The Amazon DocumentDB with MongoDB Course is designed for professionals seeking to enhance their skills of Amazon's managed database service that's compatible with MongoDB. This course will help the following professionals:

  • Database Administrators
  • Application Developers
  • Software Engineers
  • Cloud Architects
  • DevOps Engineers
  • Data Engineers
  • Solution Architects
  • IT Managers

Prerequisites of the Amazon DocumentDB with MongoDB Course

There are no formal prerequisites to attend the Amazon DocumentDB with MongoDB Course. However, a basic understanding of NoSQL databases would be beneficial.

Amazon DocumentDB with MongoDB Course Overview

Amazon DocumentDB is a fast, reliable and fully-managed database service. Amazon DocumentDB makes it easy to set up, scale and operate MongoDB- compatible databases in the cloud. With Amazon DocumentDB, delegates can run the same application code and use the same drivers and tools that they use with MongoDB.

Amazon DocumentDB automatically grows the size of storage volume as database storage needs to grow. In this course, delegates will learn the functional difference between the DocumentDB and MongoDB. They will also learn how to how to Launch EC2 Instance. Delegates will learn how to manage Amazon DocumentDB users and how to encrypt connections using TLS. They will learn about VPC security and updating certificates. This course explains how to monitor, manage, and troubleshoot Amazon DocumentDB. Delegates will gain an understanding of how to developing with Amazon DocumentDB.

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What’s included in this Amazon DocumentDB with MongoDB Course?

  • World-Class Training Sessions from Experienced Instructors
  • Amazon DocumentDB with MongoDB Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Data Warehousing Training on AWS Course Outline                           

Module 1: Get Started with Data AWS Warehousing

  • Introduction to Data Warehousing
  • Amazon Redshift Components and Resources
  • Benefits of AWS Redshift
  • OLAP VS OLTP

Module 2: Working with Cluster

  • Redshift Architecture
  • Creating a Cluster
  • Managing a Cluster
  • Cluster Modification and Performance

Module 3: Development Using Redshift

  • Redshift Architecture
  • Connecting to a Cluster
  • SQL Reference and Statements
  • Creating Table
  • Create View and Grant Command
  • Information Schema

Module 4: Table Design and Database Security

  • Table Design
  • Table Tuning
  • Database Security

Module 5: Loading and Unloading Data

  • Loading and Unloading Data
  • System Tables
  • System Query

Module 6: Workload Management and Visualise

  • Workload Management
  • WLMQ Behaviour
  • Run the Query
  • Visualise

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Who should attend this Data Warehousing Training on AWS?

The Data Warehousing Training on AWS is tailored for professionals seeking to master the intricacies of Data Warehousing using Amazon Web Services (AWS) solutions. This course can benefit a wide range of professionals, including:

  • Data Engineers
  • Data Analysts
  • Business Intelligence Developers
  • Data Architects
  • Database Administrators
  • Solution Architects
  • Data Scientists
  • Analytics Managers

Prerequisites of the Data Warehousing Training on AWS

There are no formal prerequisites to attend the Data Warehousing Training on AWS Course. However, a basic understanding of cloud computing, database technologies, and Data Warehousing concepts can benefit the delegates.

Data Warehousing Training on AWS Course Overview

The Data Warehousing Training on AWS is designed to introduce delegates to the fundamental concepts of Data Warehousing and its implementation on Amazon Web Services (AWS). This course explains the relevance of Data Warehousing in modern business operations. Proficiency in Data Warehousing is essential for professionals in domains like Data Analytics, Business Intelligence, and Data Engineering.

Mastering Data Warehousing on AWS is crucial for Data Engineers, Database Administrators, and IT professionals responsible for managing and analysing large datasets. These professionals need to understand the architecture, tools, and best practices for building and maintaining data warehouses on AWS. Expertise in this area allows them to optimise data storage, streamline data processing, and ensure data availability and security.

This 1-day training course equips delegates with the knowledge and practical skills required to design, implement, and manage Data Warehousing solutions on AWS. Delegates will learn to work with Cluster, utilise Amazon Redshift, AWS Glue, and other AWS services to create scalable and cost-effective data warehousing solutions. Real-world scenarios and hands-on labs provide valuable practical experience.

Course Objectives

  • To understand the core principles of Data Warehousing
  • To learn to set up and configure Amazon Redshift clusters
  • To gain proficiency in data loading and transformation with AWS Glue
  • To explore best practices for optimising Data Warehousing on AWS
  • To develop skills in monitoring and securing Data Warehousing solutions

After completing this AWS Course, delegates will be equipped to design, implement, and manage AWS-based Data Warehousing solutions, enhancing their career prospects.

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What’s included in this Data Warehousing Training on AWS Course?

  • World-Class Training Sessions from Experienced Instructors
  • Data Warehousing Training on AWS Certificate
  • Digital Delegate Pack

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Not sure which course to choose?

Speak to a training expert for advice if you are unsure of what course is right for you. Give us a call on +44 1344 203 999 or Enquire.

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AWS Certification Training Courses FAQs

The AWS Certification is a credential awarded by Amazon Web Services (AWS) to individuals who demonstrate proficiency and expertise in various AWS Cloud Computing services and technologies. These certifications validate a person's technical knowledge, skills, and ability to design, implement, and manage AWS solutions effectively.
This AWS Course enhances your cloud expertise, validates your skills, improves job prospects, and can lead to higher earning potential in cloud computing roles.
Learning about AWS is important because it is a dominant Cloud services provider, offers scalability and flexibility, provides cost efficiency, offers a wide range of services, and promotes innovation with cutting-edge technologies. This AWS Course also offers security knowledge and supports continuous learning and career growth.
Businesses, startups, government agencies, educational institutions, and individuals utilise AWS for Cloud Computing needs. This includes companies of all sizes, spanning various industries like technology, finance, healthcare, media, and more, seeking scalable, reliable, and secure cloud solutions for their operations and applications.
In this AWS Course, the objectives are to provide comprehensive knowledge and practical skills necessary to pass the AWS exams, build expertise in cloud computing, and equip delegates with the confidence and competence to excel in their careers as AWS professionals.
Anyone who wants to validate their AWS skills and expertise should consider these courses. It is suitable for Developers, IT Professionals, System Administrators, Architects, and individuals seeking career opportunities in Cloud Computing.
There are no prerequisites for AWS Certifications. However, delegates are encouraged to garner some experience with AWS services to make the most out of our courses.
The Knowledge Academy offers several advanced AWS Certification Training Courses, including AWS Professional Solutions Architect Training Course, AWS Advanced Architecture Certification Training Course, DevOps Engineering on AWS - Professional Certification, etc.
While some AWS services can be utilised without extensive programming knowledge, others require scripting or programming skills for effective implementation and customisation. Please refer to our AWS Certification Training Course pages for specific information.
Topics covered in this AWS Course include cloud concepts, security, architecture, pricing, support, services like EC2, S3, RDS, VPC, and best practices for deploying and managing applications on AWS.
With an AWS Certification, you can expect job roles such as AWS Solutions Architect, AWS Developer, AWS SysOps Administrator, Cloud Engineer, DevOps Engineer, Cloud Architect, and Cloud Consultant. These roles involve designing, implementing, and managing AWS solutions, infrastructure, and applications.
The Knowledge Academy’s AWS Courses span 1 to 3 days in Namibia, depending on the course intensity and format.
Prepare by studying AWS documentation, taking practice exams, regisering for AWS Courses, using hands-on labs, and reviewing exam guides.
To become AWS-certified, individuals need to select a certification path like Architect or Developer, prepare for the exam, and then pass the corresponding certification exam to demonstrate their proficiency in AWS services and best practices. You can explore the complete list of our AWS Certifications from our Course Catalogue.
The difficulty level of acquiring AWS Certifications varies depending on the certification level and your prior experience and knowledge of AWS. Hands-on experience with AWS services and proper preparation for the exam via AWS Courses can significantly increase your chances of earning the certificate.
Yes, AWS offers excellent career opportunities as it is widely adopted by organisations worldwide. As the demand for cloud computing and AWS skills have increased, AWS Certifications lead to lucrative job prospects and career growth. It also provides opportunities for ongoing learning as it continually releases new services and features.
Should you encounter any difficulties accessing AWS Certification Course materials, our customer support team is available to assist and promptly resolve any issues you may encounter.
For assistance with your AWS Certification Course access issues, please contact our Customer Support Team, who is available 24/7, using the contact information provided on our official website.
The Knowledge Academy in Namibia is a prestigious training provider known for its extensive course offerings, expert instructors, adaptable learning formats, and industry recognition. It's a dependable option for those seeking AWS Certification Training Courses.
Choose your AWS Course based on your career goals, current skill level, job requirements, and areas of interest within AWS services and roles.
The Knowledge Academy is the Leading global training provider for AWS Certification Training Courses.
The training fees for AWS Certification Training Courses in Namibia starts from $2495
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