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Ai Engineering: A Practical Guide to Designing, Building, and Shipping Real-World AI Systems-logo

Ai Engineering: A Practical Guide to Designing, Building, and Shipping Real-World AI Systems

Adrian Falkner

Transform machine learning theory into reliable, production-ready software products that drive real business value. Whether you are upskilling during your morning commute or transitioning into a specialized technical role, this practical guide cuts...

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Opening Credits

1/15/2026
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Chapter 1: What Is AI Engineering

1/15/2026
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Chapter 2: Framing Problems The AI Engineer Way

1/15/2026
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Chapter 3: Understanding Data And Choosing The Right Level Of AI

1/15/2026
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Chapter 4: From Idea To Model Lifecycle

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Chapter 5: Designing Experiments That Matter

1/15/2026
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Chapter 6: Evaluating AI Systems In The Real World

1/15/2026
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Chapter 7: Putting Models Into Production

1/15/2026
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Chapter 8: Data Pipelines Monitoring And Human In The Loop Feedback

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Chapter 9: Testing Probabilistic Systems And Handling Failure

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Chapter 10: Architectures Safety And The AI Engineering Career Path

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Closing Credits

1/15/2026