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Module 11 Amazon Bedrock AgentCore

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⚙️ Module 11 · Amazon Bedrock AgentCore

Runtime, memory, identity, gateway, observability — agents as deployed services.

Module 11 of 16 · track Ship · Estimated time: 8–10 hours · Prerequisites: Modules 05–06. Module 08 for the LangGraph deployment.

Everything so far ran in a notebook. AgentCore is how an agent becomes a service with an identity, a memory store, a gateway, traces and a bill. This module deploys agents three ways — Strands, LangGraph, and no framework at all — so you can see the runtime is framework-agnostic.

Open the module on GitHub ↗: the slides, notebooks, exercises and solutions are there. This page is the reading order, with the tutorial and the workbench alongside.

Read first, on the site

The lesson that frames this module is P3 Run & Learn: How to Run an AI Agent in Production Safely (7 min): what running an agent as a service asks of the team. Then try the two-number report builder in the workbench: the same decision, with your numbers.

What you will be able to do

  • Deploy an agent to AgentCore Runtime and invoke it as a service
  • Wire AgentCore Memory and reason about retention
  • Configure identity and tool access with least privilege
  • Route traffic through the gateway and read the traces
  • Estimate runtime cost and capacity before you commit

Concepts in this module

Portable GenAI concepts AWS-specific surface
Agent as a service Bedrock AgentCore Runtime
Session and identity AgentCore Memory
Observability AgentCore Identity
Harness engineering AgentCore Gateway
AgentCore Observability
CloudWatch
IAM
CDK

Portable concepts transfer to any stack. The AWS column is where this module touches the cloud — see docs/concepts/portability-matrix.md.

Run it in this order

# Step What it is
1 📖 slides/AgentCore_Part1_Foundations.pptx AgentCore foundations
2 💻 notebooks/00_setup_and_sanity.ipynb Setup and sanity check
3 📖 walkthroughs/01_agentcore_foundations.md Foundations walkthrough
4 💻 notebooks/01_build_an_agent_three_ways.ipynb One agent, three ways
5 💻 notebooks/02_agentcore_runtime.ipynb Runtime
6 💻 walkthroughs/AgentCore_01_Strands_Minimum_Deploy.ipynb Minimum deploy — Strands
7 💻 walkthroughs/AgentCore_02_NoFramework_Minimum_Deploy.ipynb Minimum deploy — no framework
8 💻 walkthroughs/AgentCore_03_LangGraph_Minimum_Deploy.ipynb Minimum deploy — LangGraph
9 💻 notebooks/03_memory.ipynb Memory
10 💻 notebooks/04_tools_and_identity.ipynb Tools and identity
11 ✏️ exercises/exercise_A_parcelpilot.md Exercise A — ParcelPilot
12 📖 slides/AgentCore_Part2_Advanced.pptx AgentCore advanced
13 💻 notebooks/05_multi_agent_orchestration.ipynb Multi-agent orchestration
14 📖 walkthroughs/03_harness_engineering.md Harness engineering
15 ✏️ exercises/exercise_B_voltdesk.md Exercise B — VoltDesk
16 💻 notebooks/07_production_patterns.ipynb Production patterns
17 📊 activities/AgentCore_Cost_and_Capacity_Workbench.xlsx Cost and capacity workbench
18 ✏️ exercises/exercise_END_renewq.md Final exercise — RenewQ

📖 read   💻 run   ✏️ practise   📊 workbook   🔖 reference

These exercises are graded against a rubric rather than an answer key. Each one is a fresh domain (not TravelMind) with layered Base / Stretch / Advanced targets, and each ends with:

  • a self-check rubric scored out of 100, so you can grade your own work honestly
  • a pass/fail LLM-integrated task that is required regardless of how far you got
  • facilitator and TA notes in an appendix, if you are running this for a group

README_exercises.md explains how the three map onto the notebooks.

Project artefact

src/MyFirstRuntimeAgent is a complete CDK-managed AgentCore project — app code, infrastructure, and configuration.

Common mistakes

  • Deploying without a memory retention decision. Storage grows, and so does the bill.
  • Over-broad IAM on the runtime role. Scope tools to what the agent actually needs.
  • Skipping observability until something breaks in production.

When it breaks

Every error anyone has hit in this course is in the Error Index, by the exact string. Model access and region problems are in Model and Region Notes. If it is a question rather than an error, check the answered ones first, then ask in Q&A.

Field guide for this module

Frameworks

Quick reference

Recipes and procedures


← Module 10 · RAG, OpenSearch and LiteLLM · All modules · Module 12 · A2A and A2UI: Agent Interoperability →

✏️ This page is generated from modules/11-bedrock-agentcore/README.md. To change it, edit the module README: an edit made here is replaced at the next sync.

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🏠 Wiki Home

▶ Start

▶ Start here · 55 lessons, on the site ↗

  1. Getting started · 2
  2. Agentic PDLC fundamentals · 9
  3. Methods decoded · 7
  4. Running delivery · 13
  5. By role · 9
  6. Teams and organisation · 4
  7. Practice · 4
  8. Interviews and careers · 7

📗 Method and reference

The method
The Agentic PDLC
The Eight Loops
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The journey · end to end
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The method · by role
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How to
Run an NFR workshop
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📚 Course and labs

The course companion · Labs

The 16 modules
  1. Agentic Foundations
  2. LLM Intuition and the AWS Bridge
  3. Amazon Bedrock Essentials
  4. Amazon Bedrock Agents
  5. Agent Builder, Knowledge Bases and Guardrails
  6. The Agent Loop: No Framework to Strands
  7. Strands Foundations: Tools, Memory and MCP
  8. Multi-Agent Patterns with Strands
  9. LangChain and LangGraph
  10. LLM Memory Mechanics
  11. RAG, OpenSearch and LiteLLM
  12. Amazon Bedrock AgentCore
  13. A2A and A2UI: Agent Interoperability
  14. Agentic QA and Evaluation
  15. End-to-End Production Pipeline
  16. Agentic Product Lifecycle

Learning paths · Field guide
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🎓 Cohort kit

Cohort Kit · Session template

Eight sessions
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💬 Community and maintenance

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📦 Elsewhere

📘 The manual · live
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👔 For leadership
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