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