AWS Generative AI Lab Series

Overview

Learn Generative AI with AWS through six comprehensive hands-on labs. Start with exploring multimodal understanding using Amazon Nova Lite, then dive into the Amazon Bedrock console for foundation model deployment. Advance your skills with text generation using Nova Micro and learn essential prompt engineering techniques. Experience machine learning development with SageMaker, and discover how to improve developer productivity using Amazon Q Developer. Gain the skills needed to build AI solutions in real-world scenarios.

Syllabus

Welcome to the Course

Welcome to this comprehensive hands-on learning journey into AWS Generative AI services. This program is designed to give you practical experience with cutting-edge AI technologies through six carefully structured labs. Whether you're new to AI or looking to expand your cloud computing skills, these labs will provide you with the foundational knowledge and hands-on practice needed to work with AWS's AI services.

Exploring Amazon Nova Lite Model for Multimodal Understanding

In this lab, you explore how Amazon Nova Lite processes text, images, and video inputs to generate insights rapidly, making it ideal for real-time content analysis and understanding in photography workflows.

Introduction to the Amazon Bedrock Console

In this lab, you gain hands-on experience with enabling access to LLMs, testing models with basic prompts, adjusting model parameters, generating AI images, and exploring provided examples within the Amazon Bedrock console.

Exploring the Amazon Nova Micro Model for Text Generation

In this lab, you explore Amazon Nova Micro's text generation capabilities to create business content including slogans, project plans, and structured product recommendations.

Explore Foundation Models and Prompt Engineering

This lab provides hands-on experience to LLMs, testing models with prompts, adjusting model parameters and exploring within the Amazon Bedrock platform.

Build Machine Learning Models with Amazon SageMaker

In this lab, you learn to use Amazon SageMaker by setting up your development environment and exploring the Studio interface. You then build and run a linear regression model using Python and scikit-learn.

Re-imagine Developer Experience Using Amazon Q Developer

In this lab you will learn to understand, develop, fix and optimize the application code using the generative AI capabilities provided by Amazon Q Developer.