Amazon SageMaker Training in Harare

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Amazon SageMaker Training

Harare

Learn to build, train, and deploy machine learning models using Amazon SageMaker.
Acquire skills in data preparation and algorithm with our Amazon SageMaker Course.
Attain expertise in managing the entire machine learning lifecycle efficiently.

Dates & Prices Dates & Prices

Course information

Amazon SageMaker Training Course Outline

Module 1: Introduction to Amazon SageMaker

What is Amazon SageMaker?
Machine Learning with Amazon SageMaker
Explore and Preprocess Data
Model Training and Deployment

Module 2: Setting Up Amazon SageMaker

Create an IAM Administrator User and Group

Module 3: Get Started with Amazon SageMaker

Create an Amazon S3 Bucket
Create an Amazon SageMaker Notebook Instance
Create a Jupyter Notebook
Download, Explore, and Transform Data
Train, Deploy, and Validate Model
Clean Up

Module 4: Using Notebook Instances

Create and Access Notebook Instances
Use Example Notebooks
Notebook Instance Software Updates
Setting the Notebook Kernel
Installing External Libraries and Kernels in Notebook Instances
Creating Git Repositories with Amazon SageMaker Notebook Instances
Monitoring Jupyter Logs in Amazon CloudWatch Logs

Module 5: Build, Train, and Deploy a Model

Built-in Algorithms
Incremental Training
Managed Spot Training
Using Checkpoints
Automatic Model Tuning
Augmented Manifest Files
Amazon SageMaker Neo

Module 6: Amazon SageMaker with ECR

Basics of Docker Containers
Amazon SageMaker Containers
Use Prebuilt SageMaker Docker Images
Creating Training Job with ECR

Module 7: Reinforcement Learning with Amazon SageMaker RL

Markov Decision Process (MDP)
Sample RL Workflow Using Amazon SageMaker RL
RL Environments in Amazon SageMaker
Distributed Training
Hyperparameter Tuning

Module 8: Security in Amazon SageMaker

Data Protection
Identity and Access Management
Logging and Monitoring
Compliance Validation

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

Why choose us

Our Harare venue

Includes..

Free Wi-Fi

To make sure you’re always connected we offer completely free and easy to access wi-fi.

Air conditioned

To keep you comfortable during your course we offer a fully air conditioned environment.

Full IT support

IT support is on hand to sort out any unforseen issues that may arise.

Video equipment

This location has full video conferencing equipment.

Harare is the capital of Zimbabwe and is situated in the North East of the country. The population of the city is around 1.6 million people and the urban area has a population of around 1.6 million also. The University of Zimbabwe is the oldest and formerly largest university in University in Zimbabwe which was established in 1952. The university has around 11,700 students in attendance and offers courses in areas such as agriculture, art, health sciences, commerce, education, engineering, law, science, social studies and veterinary science. The university was founded through a strong relationship with the University of London and offers international studies.

Address

1st Floor,
Building Six,
Arundel Office Park,
Norfolk Road,
Mount Pleasant,
Harare,
Zimbabwe

T: +44 1344 203 999

Ways to take this course

Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Amazon SageMaker Training in Harare. Engage directly with expert instructors, mirroring the classroom schedule for a comprehensive learning journey. Enjoy the convenience of virtual learning without compromising on the quality of interaction.

Learn more in our FAQs

Unlock your potential with The Knowledge Academy's Amazon SageMaker Training in Harare, accessible anytime, anywhere on any device. Enjoy 90 days of online course access, extendable upon request, and benefit from the support of our expert trainers. Elevate your skills at your own pace with our Online Self-paced sessions.

Learn more in our FAQs

Experience the most sought-after learning style with The Knowledge Academy's Amazon SageMaker Training in Harare. Available in 490+ locations across 190+ countries, our hand-picked Classroom venues offer an invaluable human touch. Immerse yourself in a comprehensive, interactive experience with our expert-led Amazon SageMaker Training in Harare sessions.

Highly experienced trainers

Boost your skills with our expert trainers, boasting 10+ years of real-world experience, ensuring an engaging and informative training experience

State of the art training venues

We only use the highest standard of learning facilities to make sure your experience is as comfortable and distraction-free as possible

Small class sizes

Our Classroom courses with limited class sizes foster discussions and provide a personalised, interactive learning environment

Great value for money

Achieve certification without breaking the bank. Find a lower price elsewhere? We'll match it to guarantee you the best value

Learn more in our FAQs

Streamline large-scale training requirements with The Knowledge Academy's In-house/Onsite at your business premises. Experience expert-led classroom learning from the comfort of your workplace and engage professional development.

Tailored learning experience

Leverage benefits offered from a certification that fits your unique business or project needs

Maximise your training budget

Cut unnecessary costs and focus your entire budget on what really matters, the training.

Team building opportunity

Our offers a unique chance for your team to bond and engage in discussions, enriching the learning experience beyond traditional classroom settings

Monitor employees progress

The course know-how will help you track and evaluate your employees' progression and performance with relative ease

Learn more in our FAQs

What our customers are saying

Amazon SageMaker Training in Harare FAQs

What is Amazon SageMaker?

Amazon SageMaker is a fully managed machine learning service that enables developers and data scientists to build, train, and deploy machine learning models quickly and efficiently, simplifying the overall machine learning workflow.

In which AWS Regions is SageMaker available?

Amazon SageMaker is available in multiple AWS Regions worldwide, including US East (N. Virginia), US West (Oregon), Europe (Ireland), Asia Pacific (Tokyo), and others, ensuring global accessibility for users.

How does SageMaker secure my code?

Amazon SageMaker secures your code through encryption, identity and access management (IAM) policies, and private VPC endpoints, ensuring that your data and algorithms remain confidential and protected during development and deployment.

What security measures does SageMaker have?

Amazon SageMaker employs several security measures, including data encryption in transit and at rest, IAM for access control, VPC for network isolation, and compliance with various industry standards to protect sensitive information.

What are the pre-requisites for the Amazon SageMaker Course?

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

Who should attend this Amazon SageMaker Course?

The Amazon SageMaker course is ideal for Data Scientists, Machine Learning Engineers, and Developers seeking to enhance their skills in building, training, and deploying machine learning models using the SageMaker platform.

Do you offer 24/7 support for the course?

Yes, The Knowledge Academy offers 24/7 support via phone & email before attending, during, and after the course. Our customer support team is available to assist and promptly resolve any issues you may encounter.

What is included in the Amazon SageMaker Course?

In this training course, delegates will have intensive training with our experienced instructors, a digital delegate pack consisting of important notes related to this course, and a certificate after course completion.

What is the duration of this Amazon SageMaker Certification?

This course takes 2 Days to complete during which delegates participate in intensive learning sessions that cover various course topics.

What will I learn from this course?

In the course, you will learn to build, train, and deploy machine learning models, explore data preparation techniques, implement algorithms, and leverage SageMaker's capabilities for efficient model management.

How long until I receive the course confirmation details?

You should receive the confirmation details for the course within 24-48 hours after registration. If you haven't received it by then, please check your spam folder or contact our support team for assistance.

What are the skills required to attend this Amazon SageMaker Course?

To attend the Amazon SageMaker course, delegates should have a basic understanding of machine learning concepts, familiarity with Python programming, and knowledge of AWS services, as these skills will enhance the learning experience.

Are there any specific industries or job roles that can particularly benefit from Amazon SageMaker Certification?

Industries such as Finance, Healthcare, and E-Commerce, along with job roles like Data Scientists, Machine Learning Engineers, and Business Analysts, can particularly benefit from Amazon SageMaker certification by enhancing their machine learning capabilities.

Is this Amazon SageMaker Training suitable for individuals at different career stages?

Yes, the Amazon SageMaker training is suitable for individuals at various career stages, from beginners seeking foundational knowledge to experienced professionals looking to deepen their expertise in machine learning and model deployment.

Do I need any prior experience to take this Amazon SageMaker Certification?

While prior experience in machine learning and Python programming is beneficial, it is not strictly required for the course; beginners can grasp the fundamentals with the right motivation and willingness to learn.

Do you provide self-paced Amazon SageMaker Training?

The Knowledge Academy provides flexible self-paced training for this course. Self-paced training is beneficial for individuals who have an independent learning style and wish to study What is Knowledge Pass, and ho at their own pace and convenience.

Do you provide corporate training for this Amazon SageMaker Training?

Yes, we provide corporate training for this Amazon SageMaker Training, tailored to fit your organisation’s requirements.

Who should I contact if I am unable to access my Amazon SageMaker Training?

If you are unable to access your Amazon SageMaker Training, contact the support team at The Knowledge Academy via their customer service email or phone number provided on their website for prompt assistance and resolution of your issue.

Are there practical components or hands-on activities in the training course?

Yes, the training course includes practical components and hands-on activities, allowing delegates to apply their learning by building, training, and deploying machine learning models in real-world scenarios using SageMaker.

Why choose The Knowledge Academy in Harare over others?

The Knowledge Academy in Harare stands out as 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 this course.

What is the cost/training fees for Amazon SageMaker Training in Harare?

The training fees for Amazon SageMaker Trainingin Harare starts from $3195

Which is the best training institute/provider of Amazon SageMaker Training in Harare?

The Knowledge Academy is the Leading global training provider for Amazon SageMaker Training.

What are the best AWS Certification Training Courses courses in Harare?

Please see our AWS Certification Training Courses courses available in Harare

Why choose us

Best price in the industry

You won't find better value in the marketplace. If you do find a lower price, we will beat it.

Many delivery methods

Flexible delivery methods are available depending on your learning style.

High quality resources

Resources are included for a comprehensive learning experience.

"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"

Joshua Davies, Thames Water

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