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AI Engineering: From Prompt to Production
End-to-end AI app craft. Prompting, embeddings, tools, evals, guardrails, performance, deployment, and CI/CD for AI systems.
12 chaptersFirst chapter free to preview
Full syllabus
2
Prompting and Structured Outputs
3
Models, APIs, and App Skeletons
4
Embeddings, Retrieval, and Knowledge Systems
5
Tool Use, Workflows, and Agents
6
State, Memory, and Data Architecture
7
Evals, Testing, and Observability
8
Guardrails, Security, and Governance
9
AI Product UX and Human-in-the-Loop
10
Performance, Cost, and Reliability
11
Deployment, CI/CD, and Operations
12
Advanced Patterns and Capstones
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