AWS

Developing Generative AI Applications on AWS

Learn to build and customize AI solutions by using Amazon Bedrock programmatically

GK #910010Virtual Classroom LiveClassroom Live
FormatsVirtual Classroom Live · Classroom LiveTopicsAI & machine learning · GK Polaris

What you’ll learn

Day 1

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
  • Hands-on lab: Develop with Amazon Bedrock APIs
  • Hands-on lab: Develop Streaming Patterns with Amazon Bedrock APIs

Module 3: Applying Prompt Engineering for Developers

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

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
  • Hands-on lab: Develop Conversation Patterns with Amazon Bedrock APIs

Day 2

Module 5: Customizing Generative AI Responses with RAG

  • Implementing Retrieval Augmented Generation (RAG)
  • Using Amazon Bedrock Knowledge Bases
  • Hands-on lab: Develop Retrieval Augmented Generation (RAG) Applications with Amazon Bedrock Knowledge Base

Module 6: Integrating Open Source Frameworks with Amazon Bedrock

  • Invoking a foundation model in Amazon Bedrock using LangChain
  • Using LangChain for context-aware responses
  • Hands-on lab: Develop a Generative AI Application Pattern using Open Source Frameworks and Amazon Bedrock Knowledge Bases

Module 7: Evaluating Generative AI Application Components

  • Evaluating application components
  • Evaluating model output
  • Evaluating RAG output
  • Optimizing latency and cost
  • Hands-on lab: Evaluating Retrieval Augmented Generation (RAG) Applications

Module 8: Implementing Responsible AI

  • Understanding responsible AI
  • Mitigating bias and addressing prompt misuses
  • Using Amazon Bedrock Guardrails
  • Hands-on lab: Securing Generative AI Applications Using 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
  • Hands-on lab: Developing Amazon Bedrock Agents Integrated with Amazon Bedrock Knowledge Bases and Guardrails

Upcoming training

Dates and availability are confirmed by Bolt when we follow up. All times are shown in the provider’s stated time zone.

2027-01-07 — 2027-01-088:30 AM - 4:30 PM EST
Virtual Classroom LiveONLINE · English
2027-04-05 — 2027-04-06April 05 - 06, 2027
Virtual Classroom LiveONLINE · English
2027-06-07 — 2027-06-08June 07 - 08, 2027
Virtual Classroom LiveONLINE · English
2027-07-08 — 2027-07-09July 08 - 09, 2027
Virtual Classroom LiveONLINE · English
2027-10-21 — 2027-10-22October 21 - 22, 2027
Virtual Classroom LiveONLINE · English
2027-12-09 — 2027-12-10December 09 - 10, 2027
Virtual Classroom LiveONLINE · English