AWS Certification Training Courses - Australia

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.

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

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.

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

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.

What’s included in this Amazon AppStream Training Course?

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

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.

What’s included in this AWS EMR Training?

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

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.

What’s included in this AWS IoT Certification Course?

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

Who Should Attend the Amazon FSx Training Course?

The Amazon FSx Training is tailored for professionals seeking comprehensive knowledge of Amazon FSx, a fully managed file system service that provides highly available and durable shared storage in the cloud. This course will benefit the following professionals:

• System Administrators
• Cloud Engineers
• Storage Administrators
• DevOps Engineers
• Solution Architects
• Technical Leaders
• IT Managers
• Data Engineers

Prerequisites of the Amazon FSx Training Course

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

Amazon FSx Training​ Course Overview

Amazon FSx for Window file server provides fully managed Microsoft Window file server supported by a fully native Windows file system. It has the features, compatibility, and performance to lift and shift the enterprise application to AWS easily. It also supports a wide set of enterprise windows workloads with fully managed file storage built on Microsoft Windows Server. To access file storage, it has native support for industry-standard server message block protocol and window file system features. It optimised for enterprise performance and features, and consistent sub-millisecond latencies.

In this course, delegates will learn how to map file share to an EC2 instance running window server. They will gain an understanding of how to manage file share, user session and open files. Amazon file server enables you to migrate the existing file datasets fully into your Amazon FSx file systems. In addition, delegates will learn how to protect data with shadow copies and backups. Delegates will gain a comprehensive knowledge of how to deploy multi-AZ file systems. Post completion of this training, delegates will be able to monitor the file system as well as they will get an understanding of file system access control with Amazon VPC.

What’s included in this Amazon FSx Training Course?

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

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.

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

Who should attend this Amazon SageMaker Training Course?

The Amazon SageMaker Training Course is designed for individuals who want to gain an understanding of machine learning and deploy the same for practical applications. The Amazon SageMaker Training Course can benefit professionals such as:

• Data Scientists
• Machine Learning Engineers
• Data Engineers
• Data Analysts
• Cloud Architects
• Financial Analysts
• Technical Managers

Prerequisites of the Amazon SageMaker Training Course

There are no formal prerequisites for this Amazon SageMaker Course. However, a basic understanding of machine learning can be beneficial for the delgates.

Amazon SageMaker Training Course Overview

Amazon SageMaker is a fully managed service that provides developers and data scientists with the tools to build, train, and deploy machine learning models at scale. As businesses increasingly turn to AI to drive insights and automate processes, understanding how to leverage SageMaker is essential for organisations looking to enhance their operational efficiency and gain a competitive edge in their respective markets.

This course is particularly beneficial for data scientists, machine learning engineers, AI developers, and business analysts who want to harness the power of machine learning in their projects. Additionally, IT professionals and managers overseeing data-driven initiatives will find the course valuable for understanding the capabilities of SageMaker and its impact on business strategy.

This 2-days course by The Knowledge Academy equips professionals with the skills necessary to effectively utilise Amazon SageMaker for machine learning projects. Delegates will learn how to create, train, and deploy models while exploring best practices for optimising performance and managing machine learning workflows, enabling them to implement data-driven solutions confidently.

Course Objectives

• To understand the core concepts of machine learning and Amazon SageMaker
• To create and configure SageMaker environments for development
• To train machine learning models using built-in algorithms
• To deploy and manage machine learning models in production
• To implement best practices for data preparation and feature engineering
• To evaluate model performance and optimise results

Upon completion of the course, delegates will have the skills to effectively apply Amazon SageMaker in real-world scenarios, enabling them to develop robust machine learning models and drive significant business value through data-driven decision-making and innovation.

What’s included in this Amazon SageMaker Training Course?

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

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.

What’s included in this Amazon WorkSpaces Training Course?

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

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.

What’s included in this Amazon Redshift Training Course?

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

Who Should Attend the Amazon ElastiCache for Redis Course?

The Amazon ElastiCache for Redis Course is designed for professionals who are looking to enhance their understanding and utilisation of Amazon's ElastiCache service, specifically focused on Redis, a powerful in-memory data store. This course will benefit the following professionals:

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

Prerequisites of the Amazon ElastiCache for Redis Course

There are no formal prerequisites to attend the Amazon ElastiCache for Redis Course. 

Amazon ElastiCache for Redis Course Overview

This course explains Amazon ElastiCache for Redis. It is a web service to set up, scale, and manage a distributed in-memory data or cache environment in the cloud. Amazon ElastiCache provides a high-performance, cost-effective and scalable caching solution. Amazon ElastiCache also helps to remove the complexity linked with deploying a distributed cache environment.

In this course, delegates will learn about ElastiCache resources, component, and features. They will also gain an understanding of how to manage ElastiCache for Redis implementation. In addition, delegates will learn how to configure an engine parameter using a parameter group.

This course teaches delegates about data protection, internetwork traffic privacy, identity and access management, logging and monitoring, compliance validation and infrastructure security. Post completion of this training, delegates will get familiarised with caching strategies.

What’s included in this Amazon ElastiCache for Redis Course?

• World-Class Training Sessions from Experienced Instructors
• Amazon ElastiCache for Redis Certificate
• Digital Delegate Pack

Who should attend this AWS Cloud9 Training Course?

The AWS Cloud9 Training Course is designed for professionals aiming to maximise their productivity with AWS Cloud9, a cloud-based integrated development environment. This AWS Certification can be beneficial to various professionals, including:

• Software Developers
• DevOps Engineers
• Application Architects
• System Administrators
• Full-Stack Developers
• Backend Developers
• Frontend Developers
• Solution Architects

Prerequisites of the AWS Cloud9 Training Course

There are no formal prerequisites to attend the AWS Cloud9 Course. However, a basic understanding of cloud computing would be beneficial to delegates.

AWS Cloud9 Training Course Overview

The AWS Cloud9 Course, provided by The Knowledge Academy, is a crucial resource for professionals who want to leverage the capabilities of cloud-based integrated development environments. Cloud9 is vital to Amazon Web Services (AWS) by helping developers streamline their coding processes and improve collaboration.

This course offers a comprehensive introduction to Cloud9, emphasising its importance in contemporary software development. Proficiency in AWS Cloud9 is indispensable for IT Professionals, Developers, and DevOps Engineers. Mastering this subject empowers them to expedite software development, improve team collaboration, and optimise resource utilisation.

This 1-day intensive training by The Knowledge Academy provides delegates with practical experience in setting up and using AWS Cloud9 to improve coding and collaboration. Delegates will learn to effectively manage development environments, seamlessly utilise AWS services, and troubleshoot issues. By the end of the course, delegates will gain full knowledge to integrate AWS Cloud9 into their workflow, enhancing productivity and code quality.

Course Objectives

• To understand the fundamentals of AWS Cloud9
• To create and manage development environments in AWS Cloud9
• To integrate AWS services for enhanced development workflows
• To collaborate effectively within the Cloud9 environment
• To troubleshoot common issues in AWS Cloud9
• To optimise coding and development processes
• To explore best practices for AWS Cloud9 usage
• To securely manage and store code in AWS Cloud9

After completing this AWS Course, delegates will learn to fully utilise AWS Cloud9 for daily development tasks. They can efficiently create collaborative and secure coding environments in the cloud, enhancing software development processes for greater productivity.

What’s included in this AWS Cloud9 Training?

• World-Class Training Sessions from Experienced Instructors
• AWS Cloud9 Certificate
• Digital Delegate Pack

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.

What’s included in this AWS Aurora Training?

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

Who should attend this AWS Specialty Machine Learning Training?

The AWS Machine Learning Course is designed for professionals aiming to harness the power of Machine Learning using Amazon Web Services technologies. This AWS Certification Training Course can be beneficial to various professionals, including:

• Data Scientists
• Machine Learning Engineers
• Software Developers
• Data Engineers
• Business Analysts
• AI Researchers
• Solution Architects

Prerequisites of the AWS Specialty Machine Learning Training

There are no formal prerequisites to attend the AWS Specialty Machine Learning Course.

AWS Specialty Machine Learning Training Course Overview

The AWS Specialty Machine Learning Certification is designed to empower delegates with the necessary knowledge and tools to leverage the capabilities of Amazon Web Services in Machine Learning, including AWS Certifications. This course delves deep into the core aspects of Machine Learning on the AWS platform, offering a comprehensive understanding of its principles and practical applications.  

Learning about AWS Specialty Machine Learning is crucial for Data Scientists, Developers, and IT Professionals to remain competitive. Mastery of AWS Machine Learning enables these professionals to create and launch intelligent applications, uncover valuable insights, and foster innovation within their organisations. 

This 2-day AWS Specialty Machine Learning Training offered by The Knowledge Academy provides delegates with practical experience using AWS Machine Learning services. You'll learn to process data, train models, and deploy them effectively. Additionally, you'll discover how to seamlessly integrate AWS Machine Learning into your projects, improving productivity and decision-making.

Course Objectives 

• To master AWS SageMaker for Machine Learning model development 
• To understand data preprocessing and feature engineering
• To implement model training and evaluation methodologies 
• To deploy Machine Learning models on AWS infrastructure 
• To learn to handle real-world data challenges 
• To gain proficiency in AWS Machine Learning services

After successfully finishing this AWS Machine Learning Training Course, delegates will be well-prepared to harness the power of AWS Machine Learning to generate data-driven insights, enhance decision-making processes, and devise innovative solutions. Delegates can expand their AWS skills with The Knowledge Academy’s wide range of AWS Courses.

What’s included in this AWS Specialty Machine Learning Training?

• World-Class Training Sessions from Experienced Instructors
• AWS Specialty Machine Learning Certificate
• Digital Delegate Pack

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.

What’s included in this AWS RoboMaker Training Course?

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

Who should attend this Amazon GameLift Training Course?

The Amazon GameLift Training Course is designed for people who want to leverage game hosting, scaling and development. The Amazon GameLift Training Course can benefit professionals such as:

• Game Developers
• Game Server Administrators
• Indie Game Developers
• Cloud Architects
• Quality Assurance Testers
• DevOps Engineers
• Backend Developers 

Prerequisites of the Amazon GameLift Training Course

There are no formal prerequisites for this Amazon GameLift Training Course. However, a basic understanding of game servers and mechanics can be beneficial for the delegates.

Amazon GameLift Training​ Course Overview

Amazon GameLift is a managed service that provides the authority deploying, operating and scaling the session-based multiplayer game servers in the cloud. Amazon is offering the helping hand to the gamers and game developers. Amazon GameLift replaces the work required to host a Physical Game Servers and no need to buying and setting up hardware. Amazon removes the burden of managing ongoing activity, security, storage, and performance tracking. This service has autoscaling capabilities.

In this 1-day course, delegates will learn about Amazon GameLift Service. Delegates will get an understanding of custom and realtime servers and prepare Games for GameLift. Delegates will be equipped with the knowledge of how to integrate games with custom and realtime servers. This course also includes the modules to prepare games for Amazon GameLift.

On course completion, delegates will get familiarised with the future concepts for development in gaming and will be predictive about upcoming game technologies as Amazon GameLift.   

What’s included in this Amazon GameLift Training Course?

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

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.

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

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.

What’s included in this Amazon Sumerian Training Course?

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

Who should attend this Deep Learning on AWS Course?

This Deep Learning on AWS Training is designed for professionals who want to gain expertise in Deep Learning techniques and apply them using Amazon Web Services tools and resources. This AWS Certification Training Course can be beneficial to a wide range of professionals, including:

• Data Scientists
• Machine Learning Engineers
• AI Researchers
• Deep Learning Engineers
• Software Developers
• Data Analysts
• Computer Vision Engineers

Prerequisites of the Deep Learning on AWS Course

There are no formal prerequisites to attend the Deep Learning on AWS Training.  

Deep Learning on AWS Course Overview

This Deep Learning on AWS Training is meticulously crafted to equip individuals with the expertise and capabilities required to thrive in the swiftly advancing realm of Deep Learning. Mastering Deep Learning models on Amazon Web Services (AWS) isn't just pertinent; it's pivotal for maintaining competitiveness and fueling innovative breakthroughs. Mastery of Deep Learning on AWS is imperative for Data Scientists, Machine Learning Engineers, and AI Practitioners.

This proficiency empowers them to harness AWS's robust cloud infrastructure effectively in creating, training, and deploying deep learning models at scale. Specifically designed for professionals seeking to excel in Deep Learning techniques and unlock the complete potential of AWS services for Machine Learning, this course is an ideal resource.

The Knowledge Academy’s intensive 1-day training, focused on AWS Certifications, empowers delegates with the practical knowledge and hands-on experience needed to navigate the intricate realm of Deep Learning on AWS confidently. Delegates will acquire a profound comprehension of AWS services, including SageMaker, EC2, and S3, and master the effective implementation of Deep Learning algorithms.

Course Objectives

• To master the fundamentals of Deep Learning
• To understand the AWS ecosystem for Machine Learning
• To learn to preprocess and prepare data for Deep Learning models
• To build and train Deep Learning models using AWS SageMaker
• To deploy Deep Learning models to AWS for real-world applications
• To gain insights into model optimisation and best practices
• To explore AWS's cost-effective solutions for Deep Learning projects
• To apply Deep Learning skills to solve real-world business challenges

After completing this AWS Course, delegates will be well-prepared to take on intricate AI projects confidently. Armed with the expertise to create, deploy, and oversee Deep Learning models on AWS, they will become indispensable assets to their organisations.

What’s included in this Deep Learning on AWS Course?

• World-Class Training Sessions from Experienced Instructors
• Deep Learning on AWS Certificate
• Digital Delegate Pack

Who Should Attend the Introduction to Amazon AppSync Course?

The Introduction to Amazon AppSync Course is designed for professionals seeking to understand and utilise the capabilities of Amazon AppSync for building scalable and interactive APIs for their applications. This course will benefit the following professionals:

• Software Developers
• Web Developers
• Mobile App Developers
• API Developers
• Backend Developers
• Full-stack Developers
• Application Architects
• Solution Architects

Prerequisites of the Introduction to Amazon AppSync Course

There are no formal prerequisites to attend the Introduction to Amazon AppSync Course. However, a basic understanding of cloud computing and GraphQL would be beneficial.

Introduction to Amazon AppSync​ Course Overview

Many organisations are migrating on the cloud-based infrastructure. Amazon always provides lead services to an organisation to accelerate business growth. Upgrading organisations are looking for IT professionals to manage their cloud-based infrastructure. The demand for a software developer is also increasing day by day.

The Amazon AppSync is the managed service for application data using GraphQL with real-time capabilities and an offline programming model. It is a fully managed GraphQL service with real-time data synchronisation and offline programming as well. With the help of this service, delegates can build mobile and web application. AWS AppSync also allows us to develop and manage applications as well as synchronise real-time activity.

During this course, delegates will get a complete understanding of Amazon AppSync and its features. Delegates will learn about how to unify multiple data sources with a GraphQL API and query from one endpoint. This course will teach delegates how to bootstrap an application with AWS amplify and mobile services. In addition, delegates will learn to use GraphQL subscription to make realtime applications. On course completion, delegates will be able to build quick applications within a short time.

What’s included in this Introduction to Amazon AppSync Course?

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

Who should attend this Kafka Training on AWS?

The Kafka Training on AWS is designed for professionals aiming to acquire in-depth knowledge of Amazon Web Services and Apache Kafka, a popular distributed event streaming platform. This course can be beneficial to various professionals, including:

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

Prerequisites of the Kafka Training on AWS

There are no formal prerequisites to attend the Kafka Training on AWS.  

Kafka Training on AWS Course Overview

The Kafka Training on AWS delves into the significance of Apache Kafka and its integration within the Amazon Web Services (AWS) ecosystem. The ability to efficiently manage and harness real-time data streams is paramount, making this course profoundly relevant.

Proficiency in Apache Kafka within AWS is indispensable for Data Engineers, Architects, and Devops Professionals pursuing optimisation of data pipelines and stream processing through courses. This expertise equips them to construct scalable, fault-tolerant, and high-throughput data applications within the AWS environment.

This 1-day intensive training by The Knowledge Academy provides delegates practical experience deploying and managing Kafka on AWS. Delegates will develop a strong grasp of Kafka's architecture, seamless integration with AWS services, and essential techniques for ensuring high availability and fault tolerance. Through hands-on exercises and real-world scenarios, delegates will learn to design, implement, and maintain robust Kafka-based data pipelines on AWS, bolstering their career opportunities and contributing to their organisations' data-driven success.

Course Objectives

• To gain a comprehensive understanding of Apache Kafka's architecture
• To learn to deploy and configure Kafka clusters on AWS
• To explore Kafka's integration with AWS services like S3 and Lambda
• To master Kafka's key features, including topics, partitions, and producers/consumers
• To implement security measures to protect Kafka data on AWS
• To ensure high availability and fault tolerance in Kafka deployments
• To optimise Kafka performance for efficient data streaming
• To acquire practical skills through hands-on exercises and real-world use cases

After completing this AWS Kafka Training, the delegates will be given an explanation to leverage the capabilities of Kafka for real-time data processing within the AWS infrastructure. They will acquire the knowledge and skills to design and efficiently manage robust data pipelines, positioning themselves as invaluable assets.

What’s included in this Kafka Training on AWS Course?

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

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.

What’s included in this Amazon Kinesis Training Course?

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

Who should attend this Amazon Quantum Ledger Database (QLDB) Training Course?

The Amazon Quantum Ledger Database (QLDB) Course is valuable for those who want to get up to speed on Ledger Databases. The Amazon Quantum Ledger Database (QLDB) Course can benefit individuals such as:

• Database Administrators
• Solution Architects
• Business Analysts
• Compliance Officers
• Supply Chain Managers
• Financial Analysts
• Healthcare Professionals

Prerequisites of the Amazon Quantum Ledger Database (QLDB) Training Course

There are no formal prerequisites for this Amazon Quantum Ledger Database (QLDB) Training Course. However, a basic understanding of databases can be beneficial for the delegates.

Amazon Quantum Ledger Database (QLDB) Training​ Course Overview

Amazon QLDB is a fully managed ledger database. It tracks data change of every application and maintains a complete history of changes done. Ledgers are used to record a history of an organisation’s financial and economic activity. In this course, delegates will learn about Amazon QLDB - a new class of database helps in eliminating the requirement to engage in the complex development effort of building ledger like applications.

In this 2-day course, delegates will get an understanding of how to access Amazon QLDB. The course explains how to create a new ledger, create and query table as well as modify documents with Amazon QLDB Console and Java and Amazon QLDB. Delegates will gain an understanding of concurrency model and data verification in Amazon QLDB. This course also explains how to export your journals.

In this course, delegates will learn about basic operations for ledgers. Post completion of this training, delegates will acquire knowledge of how to protect data, IAM in Amazon QLDB, logging and monitoring in Amazon QLDB and compliance validation.

What’s included in this Amazon Quantum Ledger Database (QLDB) Training Course?

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

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.

What’s included in this AWS Directory Service Training?

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