Top 5 Free AI Courses to Kickstart Your Machine Learning Journey

Course Overview

• Platform: Coursera
• Duration: ~11 weeks (self-paced)
• Level: Beginner to Intermediate
• Prerequisites: Basic programming (Python/Octave helpful but not required)
• Certificate: Free (audit mode)

Why This Course is a Must-Take

Andrew Ng, co-founder of Coursera and a leading AI researcher, designed this course to make machine learning accessible to everyone. It covers:

📌 Supervised Learning (Linear Regression, Logistic Regression, SVMs)
📌 Unsupervised Learning (Clustering, Dimensionality Reduction)
📌 Neural Networks & Deep Learning Basics
📌 Best Practices (Bias/Variance, Model Evaluation)

Key Features

✔ Hands-on Exercises – Implement algorithms from scratch in Octave/MATLAB (Python versions available).
✔ Real-World Case Studies – Learn how ML is applied in tech, healthcare, and finance.
✔ Active Community – Join forums with thousands of learners.

Enroll Here

Course Overview

• Platform: edX
• Duration: ~7 weeks (self-paced)
• Level: Beginner (Python knowledge recommended)
• Certificate: Free (audit mode)

What You’ll Learn

This course, taught by Harvard’s David J. Malan, focuses on AI fundamentals with Python:

📌 Search Algorithms (BFS, DFS, A*)
📌 Machine Learning Basics (Classification, Regression)
📌 Reinforcement Learning (Q-Learning, Markov Models)
📌 Natural Language Processing (NLP)

Why Choose This Course?

✔ Project-Based Learning – Build a Pac-Man AI, a sentiment analysis tool, and more.
✔ Python-Centric – Uses scikit-learn, TensorFlow, and PyTorch.
✔ Great for Beginners – No prior AI knowledge needed.

Enroll Here