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Amazon SageMaker Training Overview
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 service enabling developer to build and train machine learning models for predictive or analytical applications in AWS (Amazon Web Service) public cloud. It comprises modules that can be used together or independently for building, training, and deploying machine learning models. It supports Jupyter notebooks, which are open source web applications helping developers share live code. This Amazon SageMaker Training is designed to equip delegates with a comprehensive knowledge of Amazon SageMaker.
In this 2-day course, delegates will learn how to create an Amazon S3 bucket and IAM administrator user and group. Delegates will gain knowledge of how to download, explore, and transform data. In addition, they will get an understanding of how to build, train, and deploy a model in Amazon SageMaker.
During this course, delegates will be using an algorithm to run a training job, hyperparameter tuning job, and a model package to create a model. Delegates will become familiarised with Apache spark, TensorFlow and Apache MXNet. They will gain in-depth knowledge of reinforcement learning with Amazon SageMaker RL. Post completion of this training, delegates will be able to protect data at rest and in transit using encryption.
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
Ways to take this course
Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Amazon SageMaker Training. 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.
Unlock your potential with The Knowledge Academy's Amazon SageMaker Training, 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.
What our customers are saying
Amazon SageMaker Training FAQs
Please arrive at the venue at 8:45am.
There are no formal prerequisites for attending this course.
This course is designed for IT professionals.
We are able to provide support via phone & email prior to attending, during and after the course.
Delegate pack consisting of course notes and exercises, Manual, Experienced Instructor, and Refreshments
This course is 2 days.
Once your booking has been placed and confirmed, you will receive an email which contains your course location, course overview, pre-course reading material (if required), course agenda and payment receipts
The training fees for Amazon SageMaker Training certification in Canada starts from CAD4295
The Knowledge Academy is the Leading global training provider for Amazon SageMaker Training.
Please see our AWS Certification Training Courses courses available in Canada
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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