Skip to content

Module 13 Agentic QA and Evaluation

github-actions[bot] edited this page Oct 2, 2026 · 3 revisions

🔬 Module 13 · Agentic QA and Evaluation

How you prove an agent works — and block the ones that do not.

Module 13 of 16 · track Ship · Estimated time: 5–6 hours · Prerequisites: Module 06 or 08. Module 11 recommended.

Non-deterministic systems need a different testing discipline. This module gives you golden sets, contract tests, multi-agent tests, a quality gate with real thresholds, and a CI step that actually blocks a bad deploy.

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 The Agentic PDLC for QA: How to Test Probabilistic Software (6 min): testing software that is right a share of the time. Then try the golden-set confidence calculator in the workbench: the same decision, with your numbers.

What you will be able to do

  • Build a golden set that represents real usage, not happy paths
  • Write contract tests for tool schemas and agent outputs
  • Test multi-agent handoffs where the bug lives between agents
  • Run a quality gate that exits non-zero and blocks promotion
  • Debug a failing agent from CloudWatch traces

Concepts in this module

Portable GenAI concepts AWS-specific surface
Golden sets CloudWatch Logs Insights
Contract testing AgentCore Observability
LLM-as-judge Bedrock model invocation logging
Quality gates
Non-deterministic testing

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/Agentic_QA_Training.pptx Agentic QA
2 📖 src/golden_set.jsonl The golden set — study its shape
3 💻 notebooks/eval_harness.ipynb Evaluation harness
4 📖 src/test_contracts.py Contract tests
5 📖 src/test_multiagent.py Multi-agent tests
6 📖 src/quality_gate.py The quality gate — the file with teeth
7 💻 notebooks/debug_walkthrough.ipynb Debugging walkthrough
8 🔖 src/cloudwatch_filters.md CloudWatch filter patterns
9 ✏️ exercises/QA_Exercise_TravelMind.md QA exercise — TravelMind

📖 read   💻 run   ✏️ practise   📊 workbook   🔖 reference

There is no separate solutions/ folder — the exercise carries its own answer key, and the module's src/ is itself the worked reference: a real golden set, real contract tests, and a quality gate that exits non-zero. Read those after you have attempted the exercise, not before.

Common mistakes

  • A gate that warns instead of failing. Teams learn to ignore it within a week.
  • Golden sets built only from cases you already pass.

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 12 · A2A and A2UI: Agent Interoperability · All modules · Module 14 · End-to-End Production Pipeline →

✏️ This page is generated from modules/13-agentic-qa-and-evaluation/README.md. To change it, edit the module README: an edit made here is replaced at the next sync.

🗺️ Navigate

🏠 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
Gates & Governance
The Evidence Pack

The journey · end to end
Product manager
Solution architect
Engineering lead
QA lead
DevOps & platform

The method · by role
Product manager
Solution architect
Engineering lead
QA lead
DevOps and platform
Sponsor

How to
Run an NFR workshop
Design an agent on paper
Build, buy or borrow
Cut sprints into bolts
Review by risk band
Prove the bar
Control the token bill
Hold the security boundary
Run a missing-control postmortem

Reference
Mental Models
Glossary
Formulas & Calculators
Decision Trees
Scenario Library
Exercises & Answers
Anti-Patterns
Sources & Confidence
Where do I find…?


📚 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
Study Plans


🎓 Cohort kit

Cohort Kit · Session template

Eight sessions
  1. Kick-off
  2. Frame and spec
  3. Build, run and the loops
  4. Methods decoded
  5. Plan and review
  6. Prove and ship
  7. Govern and scale
  8. Practice and roles

💬 Community and maintenance

Living notes
Error Index
Community Answers
Field Notes
Model & Region Notes
Cost Log
Scoreboard 🧪

The project
Roadmap
Editing this wiki
Maintainer Runbook


📦 Elsewhere

📘 The manual · live
🛫 Ninety Days, the simulator
🧰 The workbench
👔 For leadership
🧠 Mental models
Templates · Prompts
Frameworks & acronyms
The repository · Setup

Pinned discussions
Discussion map — where to post what
Exercise & lab index
Simulator Arena — get a lab graded
Pitch an idea
All discussions →

Clone this wiki locally