Final Exam: Generative AI on AWS

WHAT YOU WILL LEARN

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  Outline the principles of generative artificial intelligence (ai) and how aws is inclined towards genai
  

  identify advantages of using aws for developing and deploying generative ai
  

  outline how foundational models work
  

  recall the fundamental concepts of generative models and their applications in machine learning
  

  analyze the different types of generative models, including generative adversarial networks (gans) and variational autoencoders (vaes)
  

  compare and contrast the pros and cons of various generative model architectures
  

  design and implement a gan architecture using amazon sagemaker
  

  describe amazon bedrock
  

  list the benefits of using amazon bedrock for developing generative ai models
  

  use amazon bedrock to develop a generative ai model
  

  demonstrate how to set up amazon codewhisperer for the first time
  

  discuss how to set up codewhisperer for various platforms including jetbrains and jupyter lab
  

  provide an overview of security scans and demonstrate how to activate and configure security scans for active files and dependencies in codewhisperer
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  identify best practices for generating and integrating code with amazon codewhisperer
  

  provide an overview of amazon polly and its role in text to speech generation
  

  identify key features of amazon polly for implementing text-to-speech generation
  

  discuss ways to leverage speech generation using amazon polly, including neural text-to-speech (tts) and ssml tags
  

  provide an overview of how to install and configure amazon polly for windows (sapi) and use polly in applications
  

  identify the importance of chatbots and how they enhance customer interactions and user engagement
  

  provide an overview of amazon lex and how it's used
  

  identify key features of amazon lex and how it can be used to build conversational interfaces
  

  configure an amazon lex bot with intents, slots and prompts for effective conversation management
  

  describe generative ai services and the role they place in various industries and applications
  

  discuss steps for preparing to deploy generative ai models on aws
  

  provide an overview of aws's pre-trained ai services