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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,a pivotal service within the AWS (Amazon Web Service) cloud, revolutionizes machine learning model development, training, and deployment. This training provides an in-depth exploration of Amazon SageMaker, empowering participants with the skills to harness the potential of machine learning in AWS. Understanding SageMaker is crucial as it enables developers to build and train machine learning models for predictive or analytical applications.
Professionals specializing in machine learning, data science, and cloud computing are well-positioned to benefit significantly from mastering Amazon SageMaker. This course is particularly relevant for developers, data engineers, and AI practitioners who aim to enhance their proficiency in building and deploying machine learning models using SageMaker.
This 2-day training by The Knowledge Academy offers a comprehensive learning experience, covering essential aspects such as running training jobs, hyperparameter tuning, model packaging, and reinforcement learning with Amazon SageMaker RL. Delegates will gain hands-on experience with popular machine learning frameworks like Apache Spark, TensorFlow, and Apache MXNet.
Course Objectives
- To run a training job, hyperparameter tuning job, and create a model using Amazon SageMaker
- To become familiar with machine learning frameworks, including Apache Spark, TensorFlow, and Apache MXNet
- To gain in-depth knowledge of reinforcement learning with Amazon SageMaker RL
- To understand the use of Jupyter notebooks and their role in collaborative and interactive machine learning development
- To learn how to protect data at rest and in transit using encryption in Amazon SageMaker
- To acquire practical skills for deploying machine learning models using Amazon SageMaker
Upon completing this course, delegates will benefit by gaining expertise in Amazon SageMaker, positioning themselves as proficient contributors to machine learning projects in AWS. The practical knowledge acquired during the training empowers participants to leverage SageMaker effectively, enhancing their capabilities in building, training, and deploying machine learning models for real-world applications in the cloud.
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.
Live classes
Join a scheduled class with a live instructor and other delegates.
Interactive
Engage in activities, and communicate with your trainer and peers.
Global Pool of the Best Trainers
We handpick from a global pool of expert trainers for our Online Instructor-led courses.
Expertise
With 10+ years of quality, instructor-led training, we equip professionals with lasting skills for success.
Global Reach
With classes running in all timezones, access any of our courses and course material from anywhere, anytime.
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
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.
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.
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.
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.
There are no formal prerequisites for this Amazon SageMaker Course. However, a basic understanding of machine learning can be beneficial for the delgates.
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.
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.
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.
This course takes 2 Days to complete during which delegates participate in intensive learning sessions that cover various course topics.
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.
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.
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.
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.
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.
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.
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.
Yes, we provide corporate training for this Amazon SageMaker Training, tailored to fit your organisation’s requirements.
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.
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.
The Knowledge Academy in the United States 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.
The training fees for Amazon SageMaker Trainingin the United States starts from $3195
The Knowledge Academy is the Leading global training provider for Amazon SageMaker Training.
Please see our AWS Certification Training Courses courses available in the United States
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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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