AI Engineering Fundamentals
Become an AI Engineer
AI Engineering Fundamentals
AI Engineering Fundamentals
In this two-day workshop, you’ll learn AI Engineering as a discipline. Beyond just calling an LLM API, but how to build, evaluate, and continuously improve AI-powered systems. You start with a pre-built diagraming canvas and throughout the course turning it into an intelligent design tool with an agentic chat interface. We’ll build the agent and establishing rigorous evaluation. Next we’ll systematically improve the eval scores through context engineering, advanced tool use, RAG, better architectures, and production feedback loops. Every improvement is measured. By the end, you’ll understand why 70% of AI Engineer job postings in 2026 center on RAG, evals, agents, and production deployment — and you’ll have practiced all of them.
What You Will Master
- 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
Prerequisites
- Comfortable with TypeScript and React
- Basic understanding of LLM APIs
- Familiarity with Node.js
- A Cloudflare account (free tier works)
Replay coming soon.
AI Engineering Fundamentals
Stop building chat wrappers and learn the discipline of AI Engineering by building a real agentic application from first principles. Gain the fundamental skills to build better AI features that get more accurate it accurate over time.
Warning: High intensity learning environment.
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Two Full Days of Mastery.
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Building Custom Agents with Claude Code SDK
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