All posts
AI
Machine Learning
Learning

The 6 Best Free AI Courses to Take in 2026

From total beginner to building with LLMs — a curated list of high-quality AI courses you can take for $0.

CoursesPack TeamJune 21, 2026 7 min read

AI is the single skill with the highest career leverage right now. It's also the field with the most snake-oil "AI mastery" courses. Here are six free options that are actually worth your time.

1. Google's "Introduction to Generative AI" (free)

A 45-minute primer on what LLMs are and how they work. Perfect first step if you've never touched the field.

2. Andrew Ng — Machine Learning Specialization (Coursera, audit free)

The classic. Covers supervised learning, neural networks, and recommendation systems. Audit mode is free — you only pay for the cert.

3. DeepLearning.AI Short Courses (free)

One-hour courses on specific topics: prompt engineering, building chatbots with LangChain, evaluating LLMs, RAG, agents. All free, all taught by practitioners.

4. Hugging Face NLP Course (free)

The best free intro to transformers. You'll fine-tune your own models and push them to the Hugging Face Hub.

5. fast.ai — Practical Deep Learning for Coders (free)

The most respected free path into deep learning. Top-down, project-first. You build working models in week one.

6. CS50's Introduction to AI with Python (Harvard, free on edX)

Solid foundations: search, knowledge representation, optimization, ML, neural nets. Free to audit on edX.

Bonus — Udemy AI courses on coupon

Many top-rated AI courses on Udemy go 100% off via instructor coupons. Watch the AI and Data Science categories on CoursesPack — they drop several times a month.

Suggested order

  1. Google Intro (45 min) — vocabulary
  2. DeepLearning.AI prompt engineering short course (1 hour) — immediate skill
  3. Andrew Ng ML Specialization (~3 months part-time) — foundations
  4. Hugging Face NLP or fast.ai (~2 months) — depth
  5. Build one real project: a chatbot for your CV, a RAG over your notes, a classifier for your photos.

The portfolio project is what makes everything stick.

Keep reading