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Generative AI Fundamentals of AWS

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2h 18m
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This course has been created to introduce you to the fundamentals of the core generative AI services that you can find on AWS. In addition to this, you will also gain an overview of the common terms used when discussing generative AI. The AWS services and features discussed in this course include:

  • Amazon Q
  • Amazon CodeWhisperer
  • Amazon Bedrock
  • Hugging Face on AWS
  • AWS Inferentia
  • AWS Trainium
  • Amazon SageMaker


Learning Objectives:

  • Gain an understanding some of the vocabulary being used when discussing generative AI
  • Understand the basics of:
    • AWS Inferentia
    • AWS Trainium
    • Amazon SageMaker
  • Understand what Amazon Q is
  • Discover the benefits of leveraging Amazon Q in your enterprise
  • Explore Amazon Q’s different areas of expertise
  • Recognise Amazon Q’s pricing plans and features
  • Learn what CodeWhisperer does and the benefit it provides
  • How to generate code snippets with CodeWhisperer
  • What Amazon Bedrock allows you to do
  • The different foundation models supported by Bedrock
  • How you can experiment running inference with Amazon Playgrounds
  • How Bedrock model evaluations allow you to compare and analyze different model performance and response outputs
  • The different types of Bedrock model evaluations available and how to configure them
  • The fundamentals of setting up your APIs with Amazon Bedrock


Prerequisites:

As a perquisite to taking this course you may find it beneficial in having some familiarity with the following:

  • A basic understanding of AWS and its core services
  • Have an understanding of the basics of generative AI
  • The basics of coding, including IDEs and Python
  • A basic understanding of AWS Cloud9


Feedback:

If you have any feedback on this course, positive or negative, please send an e-mail to support@cloudacademy.com

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About the Author

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Stuart has been working within the IT industry for two decades covering a huge range of topic areas and technologies, from data center and network infrastructure design, to cloud architecture and implementation.

To date, Stuart has created 250+ courses relating to cloud computing reaching over 1 million+ students.

Stuart is a member of the AWS Community Builders Program for his contributions towards AWS.

He is AWS certified and accredited in addition to being a published author covering topics across the AWS landscape.

Stuart enjoys writing about cloud technologies and you will find many of his articles within our blog pages.

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