Modules
Take single modules or the whole track. Two hour sessions, combined into half days where it suits your calendar.
Testing Non-Deterministic Systems
How the testing pyramid changes when outputs are probabilistic, not fixed.
- Why non-determinism breaks classic testing assumptions
- The testing pyramid for AI applications
- Unit testing LLM integrations
- Mocking APIs and testing prompt templates
Evaluation Frameworks and Metrics
Measure relevance, coherence and factuality with custom evaluators.
- Relevance, coherence and factuality metrics
- Writing custom evaluators
- Integration testing against real LLMs
- Snapshot testing and multi-turn conversations
Testing RAG and Agentic Systems
Retrieval quality, embeddings and the harder cases of tool-calling agents.
- Testing RAG retrieval quality
- Evaluating embeddings
- Testing tool-calling and agentic systems
- Production observability for AI features
Teams Often Pair This With
Related modules other teams add alongside this track.
Engineering Practice · Test-Driven Development
Red-Green-Refactor in Practice
The test-first rhythm applied to single objects and clusters of objects.
View module Applied AI Engineering · Building GenAI ApplicationsTool Calling and MCP Integration
Extend an LLM with external functions and wire in the Model Context Protocol.
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