Final Exam: Generative AI on AWS
Intermediate
- 1 video | 32s
- Includes Assessment
- Earns a Badge
Final Exam: Generative AI and AWS will test your knowledge and application of the topics presented throughout the Generative AI and AWS track.
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 -
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
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