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| title: Generative AI Specialization - Coursera Style | |
| emoji: π§ | |
| colorFrom: purple | |
| colorTo: blue | |
| sdk: gradio | |
| sdk_version: 6.5.1 | |
| python_version: 3.10.12 | |
| app_file: app.py | |
| pinned: false | |
| # π§ Generative AI Specialization | |
| ### *Your Complete Learning Path from Fundamentals to Advanced LLMs* | |
| [](https://huggingface.co/spaces) | |
| [](https://www.python.org/downloads/) | |
| [](https://opensource.org/licenses/MIT) | |
| [](https://gradio.app) | |
| ## π Course Overview | |
| This comprehensive 12-week specialization covers the entire Generative AI landscape, from foundational ML concepts to cutting-edge LLM techniques. Designed in Coursera-style format with 6 modules, 30+ lessons, and 3 capstone projects. | |
| ### π― What You'll Learn | |
| | Module | Topics | Duration | | |
| |--------|--------|----------| | |
| | **01** | Foundations: ML, Neural Networks, Backpropagation, Optimization | 15 hours | | |
| | **02** | Advanced ML: Reinforcement Learning, Computer Vision | 12 hours | | |
| | **03** | NLP: Text Processing, RNNs, LSTM, Attention Mechanism | 12 hours | | |
| | **04** | Generative AI Core: Transformers, LLMs, Model Arguments | 18 hours | | |
| | **05** | Advanced LLM: Fine-tuning, RAG, Model Optimization | 20 hours | | |
| | **06** | Production: Deployment, Applications, Capstone | 15 hours | | |
| ## π Live Demo | |
| **This space is live!** Try it now: [https://huggingface.co/spaces/genai-specialization/course](https://huggingface.co/spaces/genai-specialization/course) | |
| ## π Course Structure |