Quick answer

The path: Python → maths basics (statistics, linear algebra) → machine learning fundamentals → pick a specialisation → build 3 real projects → apply. Realistically, with consistent effort, you can reach a junior AI engineer level in 12–18 months from zero. It requires genuine commitment — this is not a 4-week bootcamp skill.

AI engineering is one of the most in-demand and well-paid roles in tech. The barrier to entry is real but not impossible. Here is the honest roadmap — no sugarcoating, no shortcuts that do not exist.

Step 1: Python (2–3 months)

Python is the language of AI. There is no shortcut here. You need to be comfortable with functions, loops, data structures, and libraries like NumPy and Pandas. Resources: Python.org official tutorial (free), Automate the Boring Stuff with Python (free online). Do not move to Step 2 until you can write Python confidently.

Step 2: Mathematics basics (1–2 months)

You do not need a maths degree. You need: basic statistics (mean, standard deviation, probability, distributions), linear algebra (vectors, matrices, matrix multiplication), and calculus intuition (not equations — just understanding what a gradient is). 3Blue1Brown's YouTube series on linear algebra and calculus are the best free resources.

Step 3: Machine learning fundamentals (2–3 months)

Andrew Ng's Machine Learning Specialisation on Coursera is the standard recommendation — and for good reason. It covers the core concepts clearly with practical exercises. Alternatively, fast.ai is more practical and code-first. Learn: supervised learning, unsupervised learning, neural network basics, how to evaluate and improve models.

Step 4: Pick a specialisation

  • NLP (Natural Language Processing) — working with text, the most in-demand specialty in 2026
  • Computer Vision — working with images and video
  • MLOps — deploying and maintaining ML systems in production
  • LLM Engineering — building products on top of large language models (fastest growing)
  • Data Science — the broader analytics path with ML components

Step 5: Build 3 real projects

Projects matter more than certificates. Build things that solve real problems: a text classifier, a RAG system over your own documents, a fine-tuned model for a specific task. Put them on GitHub with clear documentation. These become your portfolio.

Salary reality: Junior AI/ML engineers in the US earn $90k–$130k. Senior engineers with 3+ years earn $150k–$250k+. In the UK, junior roles start at £40k–£60k. Remote roles have expanded significantly — many AI engineering jobs are now fully remote.

Related reading

AI Skills That Pay the Most in 2026 Best AI Certifications in 2026 — Are They Worth It? What Is Prompt Engineering and Can You Get Paid for It?

Bottom line

Becoming an AI engineer from scratch takes 12–18 months of real effort. The path is clear: Python, maths basics, ML fundamentals, specialisation, projects. The demand is high and growing. Start today — the people who begin now will have 2 years of experience by the time the market gets even more competitive.