Free AI courses for beginners

Now is the time to learn all about AI

🧠 1. Elements of AI – University of Helsinki

• Duration: ~6 weeks (self-paced)
• Topics: What AI is, basic machine learning, neural networks, societal implications
• Best for: Absolute beginners, non-technical learners
• Pros: No coding required, available in multiple languages
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💻 2. Machine Learning – Stanford University by Andrew Ng (via Coursera)

• Duration: ~11 weeks (self-paced)
• Topics: Supervised/unsupervised learning, neural networks, SVMs, clustering
• Best for: Beginners with some math background
• Pros: Taught by Andrew Ng, foundational course in ML
• Note: Free to audit (pay for certificate)
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🎓 3. AI For Everyone – Andrew Ng (Coursera)

• Duration: ~4 weeks
• Topics: How AI works, applications, ethics, project planning
• Best for: Non-programmers, business professionals
• Pros: No coding or math required, clear and concise
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👩💻 4. Google AI – Machine Learning Crash Course

• Duration: ~15 hours
• Topics: ML fundamentals, TensorFlow, real-world examples
• Best for: Those with Python basics
• Pros: Includes interactive coding exercises
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📊 5. Intro to Artificial Intelligence – Udacity (free course)

• Duration: ~4 months (at 6 hrs/week)
• Topics: Search, logic, planning, Bayesian networks, machine learning
• Best for: Motivated beginners
• Pros: Hands-on content, Python-focused
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📚 6. Harvard’s CS50’s Introduction to Artificial Intelligence with Python

• Duration: 7 weeks
• Topics: Search algorithms, knowledge representation, neural networks, NLP
• Best for: Beginners with some Python knowledge
• Pros: Project-based learning
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📦 Bonus: Fast.ai Practical Deep Learning for Coders (Part 1)

• Link: https://course.fast.ai/
• Requirement: Some coding experience in Python
• Best for: Beginners with programming background who want hands-on deep learning skills