Developing Generative AI Applications on AWS

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Course Overview

In this advanced two-day course, software developers learn to build and customize AI solutions by using Amazon Bedrock programmatically. Through hands-on exercises and labs, participants will invoke foundation models through Amazon Bedrock APIs, implement Retrieval Augmented Generation (RAG) patterns with Amazon Bedrock Knowledge Bases, and develop AI agents with tool integration. The course focuses on the practical implementation of prompt engineering techniques, responsible AI practices with Amazon Bedrock Guardrails, open source framework integration, and architectural patterns for real-world business applications.

Who Should Attend

This course is intended for software developers.

Course Objectives

    • Develop generative AI applications using Amazon Bedrock.
    • Design architecture patterns of generative AI applications.
    • Configure Amazon Bedrock APIs to invoke foundation models (FMs) programmatically.
    • Develop agentic AI applications by integrating Amazon Bedrock tools and open source frameworks.
    • Build custom solutions with Retrieval Augmented Generation (RAG) and Amazon Bedrock Knowledge Bases.
    • Integrate open source SDKs with Amazon Bedrock to build business.
    • Optimize model responses by applying prompt engineering techniques.
    • Evaluate generative AI application components.
    • Implement responsible AI practices to protect generative AI

Course Outline

Module 1: Exploring Components of Generative AI Applications on AWS

  • Understanding generative AI concepts
  • Identifying AWS generative AI stack components
  • Designing generative AI application components

Module 2: Programming with Amazon Bedrock

  • Guiding model response generation
  • Using Amazon Bedrock programmatically

Module 3: Applying Prompt Engineering for Developers

  • Introducing prompt engineering
  • Introducing prompt techniques
  • Optimizing prompts for better results

Module 4: Using Amazon Bedrock APIs in Common Architectures

  • Implementing architecture patterns with Amazon Bedrock APIs
  • Exploring common use cases
  • Adding conversational memory to extend context

Module 5: Customizing Generative AI Responses with RAG

  • Implementing Retrieval Augmented Generation (RAG)
  • Using Amazon Bedrock Knowledge Bases

Module 6: Integrating Open Source Frameworks with Amazon Bedrock

  • Invoking a foundation model in Amazon Bedrock using LangChain
  • Using LangChain for context-aware responses

Module 7: Evaluating Generative AI Application Components

  • Evaluating application components
  • Evaluating model output
  • Evaluating RAG output
  • Optimizing latency and cost

Module 8: Implementing Responsible AI

  • Understanding responsible AI
  • Mitigating bias and addressing prompt misuses
  • Using Amazon Bedrock Guardrails

Module 9: Using Tools and Agents in Generative AI Applications

  • Using tools
  • Understanding AI agents
  • Understanding open source agentic frameworks
  • Understanding agent interoperability

Module 10: Developing Amazon Bedrock Agents

  • Implementing Amazon Bedrock Flows
  • Designing Amazon Bedrock Agents
  • Developing Amazon Bedrock Inline Agents
  • Designing multi-agent collaboration
  • Using Amazon Bedrock AgentCore

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Class Dates & Times

Class times are listed Eastern time

This is a 2-day class

Price: $1,390.00

Register for Class

Register When Time Where How
Register 11/20/2025 10:30AM - 6:30PM Online VILT
Register 01/22/2026 10:30AM - 6:30PM Online VILT
Register 03/19/2026 9:30AM - 5:30PM Online VILT