Generative AI on AWS Labs

Unlock the power of Generative AI with a comprehensive, lab-driven approach on Amazon Web Services. This program is engineered for professionals ready to move beyond theory and implement cutting-edge AI solutions directly within the AWS cloud environment. Gain practical expertise with foundational models, agentic systems, and advanced retrieval techniques.

What You Will Learn

This course is structured as a series of intensive, hands-on labs designed to provide direct experience with the most relevant Generative AI services on AWS. You will engage with Amazon Bedrock to understand its capabilities, learn to deploy and fine-tune large language models, and construct sophisticated AI agents that can perform complex tasks autonomously. The focus is on practical application, ensuring you acquire immediately deployable skills.

Beyond foundational model interaction, the program delves into advanced techniques like Retrieval-Augmented Generation (RAG), a critical method for building context-aware AI applications that can leverage proprietary data. You will also explore Amazon Q for Business, understanding how to integrate AI-powered assistance into enterprise workflows. The curriculum culminates in building a natural language query engine, demonstrating how to extract insights from data lakes using conversational AI.

Each module is a self-contained lab, providing a focused, immersive learning experience. You will not merely observe; you will build, configure, and troubleshoot, developing a robust understanding of the underlying principles and best practices for developing secure, scalable, and effective Generative AI solutions on AWS.

Module 1: Lab 1: Introduction to Generative AI with Bedrock

Gain foundational knowledge and hands-on experience interacting with Amazon Bedrock.

Module 2: Lab 2: Dive Deep into Gen AI with Amazon Bedrock

Explore advanced capabilities and deeper integrations within the Amazon Bedrock ecosystem.

Module 3: Lab 3: Building an Agentic LLM Assistant on AWS

Learn to design and implement intelligent, autonomous LLM-powered assistants.

Module 4: Lab 4: Retrieval-Augmented Generation Workshop

Master RAG techniques to enhance LLM responses with external, proprietary data sources.

Module 5: Lab 5: Amazon Q for Business

Integrate Amazon Q to provide conversational AI assistance across your enterprise data.

Module 6: Lab 6: Building a Natural Language Query Engine for Data Lakes

Develop a system to query and extract insights from data lakes using natural language interfaces.

Module 7: Summary

Consolidate your understanding of Generative AI concepts and AWS implementations.

Module 8: Reference

Access supplementary resources and further reading to deepen your Generative AI expertise.

Enroll now to transform your theoretical knowledge into tangible, deployable Generative AI solutions on AWS, positioning yourself at the forefront of AI innovation.