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Video course · 14 chapters · 55 min · certificate

AI Engineer Roadmap – How to Learn AI in 2025

A 2025 AI engineer roadmap: what AI engineering is, applications and must-have skills, maths, statistics, data science, traditional ML, deep learning, Python practice, GenAI fundamentals, LLMs, fine-tuning and RLHF, RAG and evaluation, and ethics and safety.

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What you'll learn

  • Define AI engineering and its applications
  • Plan maths and statistics foundations
  • Learn traditional ML and deep learning
  • Implement in Python
  • Understand LLMs, fine-tuning, RLHF and RAG
  • Apply ethics and safety

Chapters

14 chapters · 55:21
  1. 3:59 01Intro Members Roadmap introduction Fundamentals to advanced.
  2. 1:48 02Definition Members What is AI engineering Research to industry.
  3. 3:18 03Skills Members Applications and must-have skills Many industries.
  4. 8:33 04Maths Members Mathematical foundations From high school up.
  5. 5:59 05Stats Members Statistics essentials Describe data.
  6. 4:28 06Data Members Data science skills Unbiased data.
  7. 4:31 07ML Members Traditional machine learning Choose models.
  8. 6:00 08DL Members Deep learning foundations Neural networks.
  9. 2:18 09Python Members Practical Python implementation Hands-on.
  10. 5:45 10GenAI Members Generative AI fundamentals Your year.
  11. 4:28 11LLMs Members Large language models Open source.
  12. 1:58 12Fine-tune Members Fine-tuning and RLHF Adapt models.
  13. 1:09 13RAG Members RAG and evaluation Optimise LLMs.
  14. 1:07 14Ethics Members Ethics and safety Build responsibly.