Skip to main content
FreeAcademy

Learning Roadmaps

Machine Learning Foundations

Understand machine learning from the ground up: core concepts without code, the math behind models, then hands-on Python, Pandas, and real ML fundamentals.

8 courses~7h total100% free, certificate included with every course

Roadmap badge

Complete all courses in this roadmap to earn its badge.

Start with step 1

Courses in this roadmap

  1. Step 1Beginner~3h

    Introduction to Machine Learning (No Code)

    Understand machine learning from the ground up — without writing a single line of code. Use ChatGPT, Claude, Gemini, Perplexity, and Google's Teachable Machine to build, test, and explain ML models. Built for university students and early-career learners with zero technical background. Earn a free certificate to add to your LinkedIn and resume.

  2. Step 2Beginner

    Mathematics for AI

    Bridge the gap between AI curiosity and AI understanding. Discover why linear algebra, calculus, and probability are the three pillars of artificial intelligence, see how each one powers real AI systems like neural networks and LLMs, and get a clear learning path to master them all.

  3. Step 3Intermediate

    Probability & Statistics for AI

    Master the probabilistic foundations of artificial intelligence. Learn probability fundamentals, Bayes' theorem, distributions, expected value, maximum likelihood estimation, and how AI systems handle uncertainty to make predictions.

  4. Step 4Intermediate

    Calculus for Machine Learning

    Master the calculus that powers machine learning. Learn derivatives, partial derivatives, the chain rule, gradients, gradient descent, loss functions, and backpropagation — the essential math behind how models learn.

  5. Step 5Beginner~3h

    Python for AI & Data Science

    Learn Python from zero with a focus on AI and data science. Master the language essentials, then use ChatGPT, Claude, and Gemini as coding tutors while you build real projects with NumPy, pandas, matplotlib, and scikit-learn. Perfect for university students and early-career learners. No prior coding required, and you earn a free certificate to add to your LinkedIn and resume.

  6. Step 6Intermediate

    Interactive Pandas Practice

    Master data analysis with Pandas through hands-on exercises. Learn to create, manipulate, filter, group, and transform DataFrames in your browser. Practice real-world data wrangling with live Python execution.

  7. Step 7Intermediate

    Machine Learning Fundamentals with Python

    Master machine learning from the ground up. Learn supervised and unsupervised learning, build models with scikit-learn, and understand the intuition behind algorithms like linear regression, decision trees, and neural networks. Hands-on Python exercises with real datasets.

  8. Step 8Beginner40 min

    How LLMs Actually Work: Tokens, Parameters, and MoE Explained

    Go one level under the hood of ChatGPT, Claude, and Gemini. Understand tokens, next-token prediction, context windows, model parameters, Mixture of Experts, and why AI models cost money to run. A short, no-code course for people who use AI every day.