AI engineer job postings grew 143% year-over-year. Average salary in the US: $175,000. For every 10 open roles in India, there is one qualified candidate.
You do not need a degree. You do not need a bootcamp. Everything you need to learn this skill is free, public, and available right now.
This is the 6-month roadmap. One month per phase. Every resource is free. No filler. Just the path.
# Month 1: Python and Programming Fundamentals
Nothing works without this. Every AI framework, every library, every tool is built on Python. Do not skip this. Do not rush this.
What to learn: Variables, functions, loops, conditionals, data structures (lists, dictionaries, sets), object-oriented programming, file handling, error management, Git and GitHub basics.
## Resources:
Python for Everybody (Dr. Chuck, University of Michigan) - Full course, free on YouTube and Coursera. The most popular Python course ever created.
CS50P: Introduction to Programming with Python (Harvard, David Malan) - Free on YouTube. Harvard-quality, zero prerequisites.
Automate the Boring Stuff with Python (Al Sweigart) - Free to read online. Practical Python from day one.
Git and GitHub for Beginners (freeCodeCamp) - Free on YouTube. 1 hour. Covers everything you need.
Milestone: You can write a Python script that reads a CSV, processes data, and outputs results. You have a GitHub account with 3+ projects pushed.
# Month 2: Mathematics and Statistics
You do not need a math degree. You need enough math to understand why models work and what to do when they do not.
What to learn: Linear algebra (vectors, matrices, dot products, eigenvalues), calculus (derivatives, gradients, chain rule), probability (Bayes theorem, distributions), statistics (mean, variance, hypothesis testing, regression).
## Resources:
3Blue1Brown: Essence of Linear Algebra - Free on YouTube. 16 videos. The best visual math content ever made.
3Blue1Brown: Essence of Calculus - Free on YouTube. Same quality. Same clarity.
Khan Academy: Statistics and Probability - Free. Comprehensive. Self-paced.
MIT 18.06: Linear Algebra (Gilbert Strang) - Free on MIT OCW. The gold standard university course.
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