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Generative AI Essentials on AWS


COURSE DESCRIPTION



Generative AI Essentials on AWS is a comprehensive one-day, instructor-led training course designed for professionals with limited prior knowledge of generative AI. The course covers foundational concepts in responsible AI, provides practical experience with AWS generative AI service (Amazon Bedrock, Amazon Nova 2, Amazon Bedrock Knowledge Bases, and Amazon Bedrock AgentCore). Participants gain hands-on implementation experience with responsible AI principles through Amazon Bedrock Guardrails. Responsible AI serves as a foundational theme throughout all modules, connecting ethical principles to technical implementation. Participants progress from understanding AI fundamentals through implementing solutions, exploring agentic AI capabilities, understanding security and governance considerations, and describing project planning components. Approximately 40% of course time is dedicated to hands-on labs and demonstrations.


Duration: 1 day / 8 hours

Delivery Method: Classroom-based, Virtual Instructor Led Training


LEARNING OBJECTIVES

·      Explain responsible AI foundations

·      Describe multimodal AI capabilities

·      Implement generative AI solutions using Amazon Bedrock and Amazon Nova 2

·      Explain how retrieval-augmented generation (RAG) enhances AI responses by connecting agents to organizational knowledge sources.

·      Describe Amazon Bedrock AgentCore capabilities

·      Apply responsible AI practices using Amazon Bedrock Guardrails

·      Explain security and governance considerations

·      Describe key components of generative AI project planning

 

AUDIENCE

·      Business analyst

·      IT support

·      Marketing professional

·      Product or project manager

·      Line-of-Business or IT Managers

·      Sales professionals

COURSE CONTENT


Module 0: Course Introduction

·      Course structure/schedule

·      Five-phase learning journey

·      Responsible AI foundational theme


Module 1: Responsible AI Foundations

·      AI evolution: from traditional to generative

·      Eight dimensions of responsible AI

·      AWS commitment to responsible AI


Module 2: Introducing Generative AI

·      Generative AI Foundation

·      Foundation models and embeddings deep dive

·      Amazon Bedrock and Amazon Nova 2 models

·      Comparing models


Module 3: Multi-Modal AI and use cases

·      Multimodal AI capabilities

·      Industry applications and use cases

·      Use case evaluation framework


Module 4: Essentials of prompt engineering

·      Prompt engineering fundamentals

·      Prompting strategies

·      Prompt security and attach vectors

·      Lab 1 - Optimizing Slogan Generation with Amazon Bedrock


Module 5: Implementing responsible AI with Amazon Bedrock Guardrails

·      Amazon Bedrock guardrails overview and configuration

·      Lab 2 - Implementing Responsible AI Principles with Amazon Bedrock Guardrails


Module 6: Introduction to Amazon Agents

·      Agentic AI concepts

·      Amazon Bedrock capabilities

·      Amazon Bedrock AgentCore overview

·      RAG and Knowledge Bases


Module 7: Introduction to Security, Governance, and Compliance

·      From security principles to organizational accountability

·      Governance frameworks

·      Compliance requirements


Module 8: Implementing generative AI projects

·      Project planning fundamentals

·      Lab 3: Building an HR Assistant with Amazon Bedrock


Module 9: Summary

·      Learning journey recap

·      Next steps


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