AI Engineering Fundamentals

Key Takeaways

[]Understand how AI Engineering differs from ML engineering, and why evals are your new test suite
[]Build a stateful chat agent on Cloudflare Workers using the Agents SDK
[]Write golden datasets, build automated scorers, and run eval suites that catch regressions
[]Master contenxt engineering, curating exactly the right tokens for your model at inference time
[]Implement sandboxed code execution, tool search for large tool libraries, and few-shot tool examples
[]Add RAG with Cloudflare Vectorize so your agent draws on real domain knowledge
[]Build a React chat interface that handles streaming tokens, tool call status, generative UI, and human-in-the-loop flows
[]Go beyond the basic agent loop with research-backed patterns like Observe-Predict-Update, multi-agent handoffs, and voting
[]Capture user corrections as eval data and build feedback loops that make your agent better with every interaction

Workshop Details

Any Prerequisites?

[]Comfortable with TypeScript and React
[]Basic understanding of LLM APIs
[]Familiarity with Node.js
[]A Cloudflare account (free tier works)

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