Learning Objectives

• Build generative AI applications using Amazon Bedrock.
• Design architectural patterns for generative AI applications.
• Configure Amazon Bedrock APIs to invoke foundation models (FMs) programmatically.
• Build agentic AI applications by integrating Amazon Bedrock tools and open source frameworks.
• Create custom solutions using Retrieval Augmented Generation (RAG) and Amazon Bedrock Knowledge Bases.
• Integrate open source SDKs with Amazon Bedrock to address business use cases.
• Improve model responses by applying prompt engineering techniques.
• Assess the components of a generative AI application.
• Apply responsible AI practices to safeguard generative AI systems.

Course Outline

Module Module 1: Generative AI Application Components on AWS

[‘Core generative AI concepts’, ‘Components of the AWS generative AI stack’, ‘Structuring generative AI application components’]

Module Module 2: Working with Amazon Bedrock Programmatically

[‘Controlling model response generation’, ‘Accessing Amazon Bedrock through code’]

Module Module 3: Prompt Engineering for Developers

[‘Fundamentals of prompt engineering’, ‘Common prompting techniques’, ‘Refining prompts to improve output quality’]

Module Module 4: Applying Amazon Bedrock APIs in Common Architectures

[‘Architectural patterns using Amazon Bedrock APIs’, ‘Common application use cases’, ‘Extending context with conversational memory’]

Module Module 5: Tailoring Generative AI Responses with RAG

[‘Building Retrieval Augmented Generation (RAG) solutions’, ‘Working with Amazon Bedrock Knowledge Bases’]

Module Module 6: Using Open Source Frameworks with Amazon Bedrock

[‘Calling Amazon Bedrock foundation models through LangChain’, ‘Building context-aware responses with LangChain’]

Module Module 7: Assessing Generative AI Application Components

[‘Evaluating individual application components’, ‘Assessing model output quality’, ‘Assessing RAG output quality’, ‘Reducing latency and managing cost’]

Module Module 8: Applying Responsible AI Practices

[‘Principles of responsible AI’, ‘Addressing bias and prompt misuse’, ‘Configuring Amazon Bedrock Guardrails’]

Module Module 9: Tools and Agents in Generative AI Applications

[‘Working with tools’, ‘How AI agents function’, ‘Open source agentic frameworks’, ‘Agent interoperability considerations’]

Module Module 10: Building Amazon Bedrock Agents

[‘Working with Amazon Bedrock Flows’, ‘Architecting Amazon Bedrock Agents’, ‘Building Amazon Bedrock Inline Agents’, ‘Structuring multi-agent collaboration’, ‘Using Amazon Bedrock AgentCore’]