·AWS Bedrock
Module 18 Lesson 1: Introducing AgentCore
The Enterprise Orchestrator. Understanding why AgentCore exists and how it brings deterministic control to AI workflows.
agentcore
9 articles
·AWS Bedrock
Module 18 Lesson 2: AgentCore vs Basic Agents
Choosing the Right Tool. Comparing the strengths of autonomous Bedrock Agents and controlled AgentCore workflows.
·AWS Bedrock
Module 18 Wrap-up: The Enterprise Mindset
Hands-on: Identify a business workflow that requires the control and state management of AgentCore.
·AWS Bedrock
Module 19 Lesson 1: AgentCore Nodes and Flow
The Blueprint. Understanding how AgentCore uses 'Nodes' and 'Edges' to create complex, manageable AI graphs.
·AWS Bedrock
Module 19 Lesson 2: Persistence and Recovery
AI with Memory. How AgentCore preserves state across days or weeks, allowing workflows to survive crashes and wait for human input.
·AWS Bedrock
Module 19 Wrap-up: Mapping the Logic
Hands-on: Design a multi-node AgentCore graph that includes AI reasoning and data validation.
·AWS Bedrock
Module 20 Lesson 1: Controlled RAG
High-Fidelity Search. How to use AgentCore to make your RAG systems more reliable by adding pre-search and post-search nodes.
·AWS Bedrock
Module 20 Lesson 2: Multi-Stage Reasoning
Chain of Thought Orchestrated. How to build complex reasoning pipelines where multiple AI models check each other's work.
·AWS Bedrock
Module 20 Wrap-up: The High-Fidelity Assistant
Hands-on: Design an AgentCore workflow that uses a critic node to verify RAG output.