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Generative AI Essentials on AWS

SS Course: 71922

Course Overview

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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 services (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.                                                                  

Scheduled Classes

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06/12/26 - TDV - Virtual-Instructor Led - Virtual-Instructor Led (click to enroll)
07/10/26 - TDV - Virtual-Instructor Led - Virtual-Instructor Led (click to enroll)
07/31/26 - TDV - Virtual-Instructor Led - Virtual-Instructor Led (click to enroll)
08/28/26 - TDV - Virtual-Instructor Led - Virtual-Instructor Led (click to enroll)
09/08/26 - TDV - Virtual-Instructor Led - Virtual-Instructor Led (click to enroll)
10/02/26 - TDV - Virtual-Instructor Led - Virtual-Instructor Led (click to enroll)
10/30/26 - TDV - Virtual-Instructor Led - Virtual-Instructor Led (click to enroll)
11/09/26 - TDV - Virtual-Instructor Led - Virtual-Instructor Led (click to enroll)
12/11/26 - TDV - Virtual-Instructor Led - Virtual-Instructor Led (click to enroll)

What You'll Learn

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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
  • In this course, you will learn to do the following:

Outline

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From security principles to organizational accountability
  • Governance frameworks
  • Compliance requirements
  • Project planning fundamentals
  • Learning journey recap
  • Next steps
  • Course structure/schedule
  • Five-phase learning journey
  • Responsible AI foundational theme
  • AI evolution: from traditional to generative
  • Eight dimensions of responsible AI
  • AWS commitment to responsible AI
  • Generative AI Foundation
  • Foundation models and embeddings deep dive
  • Amazon Bedrock and Amazon Nova 2 models
  • Comparing models
  • Multimodal AI capabilities
  • Industry applications and use cases
  • Use case evaluation framework
  • Prompt engineering fundamentals
  • Prompting strategies
  • Prompt security and attach vectors
  • Amazon Bedrock guardrails overview and configuration
  • Agentic AI concepts
  • Amazon Bedrock capabilities
  • Amazon Bedrock AgentCore overview
  • RAG and Knowledge Bases

Prerequisites

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No prior AI or generative AI knowledge required

      Who Should Attend

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      Business Analysts
      • IT Support Professionals
      • Marketing Professionals
      • Product or Project Managers
      • Line-of-Business or IT Managers
      • Sales Professionals
      • This course is intended for:

      Next Step Courses

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