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All Courses/AI Engineering: From Prompt to Production
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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

1

Foundations of AI Engineering

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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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