The AI Engineer Handbook
The skills, systems, and career roadmap for the modern AI engineer.
by Amol Katkade
Everything an aspiring or practicing AI engineer needs: the core skills, the system-design patterns for AI products, the tooling landscape, and a pragmatic career roadmap — distilled from real-world enterprise AI work.
- Core AI-engineering skills & foundations
- System-design patterns for AI products
- The modern AI tooling landscape
- A pragmatic career roadmap
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From the opening pages
Becoming an AI engineer is less about any single tool and more about a stack of skills that compound: solid programming foundations, an understanding of data and models, and the system-design judgement to put them together in production. This handbook lays out that path step by step — from Python fundamentals through core programming, data handling, and applied AI — so you can build a durable career, not just chase the trend of the week.
Table of contents (excerpt)
- Section 1: Introduction to Python
- Chapter 1: What is Python?
- Chapter 2: First Steps in Python
- Chapter 3: Basic Programming Concepts
- Chapter 4: Operators and Expressions
- Section 2: Core Python Programming
- Chapter 5: Control Structures
- Chapter 6: Data Structures in Python
- Chapter 7: Functions
- Chapter 8: Object-Oriented Programming (OOP)
- Section 3: Advanced Python Topics
- Chapter 9: Modules and Packages
178+ pages · instant PDF download
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