Generative AIBeginner
Learn Generative AI in 23 Hours
freeCodeCamp's generative AI course covering prompt engineering, RAG, model deployment, and AI agents. Taught by Andrew Brown. Completely free on YouTube.
Free course on fast.ai
Practical Deep Learning for Coders
60 hours 4.9(22,000 reviews)Free
fast.ai's Practical Deep Learning for Coders is a free course teaching deep learning through code first (top-down), starting with pre-trained models and working back to theory. You use PyTorch and fast.ai's library to build real applications: computer vision, NLP, recommendation systems. The course is video-based with hands-on notebooks. After finishing, you can build working deep learning models without a PhD. The main limitation: this is top-down, not bottom-up. You learn to use models before understanding the math. For a pure theory foundation, pair this with Andrew Ng's Deep Learning Specialization.
About This Course
fast.ai's legendary course on deep learning for practitioners. Takes a top-down approach: you build real models in lesson 1 and understand the theory gradually. Covers CV, NLP, tabular data, and stable diffusion. Completely free.
Course Details
- Platform
- fast.ai
- Language
- Generative AI
- Level
- intermediate
- Duration
- 60h
- Certificate
- No
- Cost
- Free
Frequently Asked Questions
Is fast.ai free?
Yes, completely free. Video, notebooks, and all materials are open.
Do I need deep learning experience?
No. This is for beginners, but assumes basic Python knowledge.
Should I learn math first?
No. fast.ai is designed so you learn to build first, then understand the math as you go.
Is fast.ai better than Andrew Ng's courses?
Different approaches. fast.ai is top-down and practical; Ng is bottom-up and theoretical. Take both for a complete picture.
Can I get a job with this?
Yes, if you build real projects and can explain them. The course alone isn't enough; you need portfolio work.
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