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1. GenAI GenAI Public

   Comprehensive Generative AI and LLMs - transformers, RAG, fine-tuning, and production applications with HuggingFace and LangChain

   Jupyter Notebook 1

2. AI-Agents AI-Agents Public

   Multi-agent AI systems with crewAI and LangGraph - autonomous task planning, collaboration patterns, and real-world applications

   Jupyter Notebook 1

3. Deep-Learning-Fundamentals Deep-Learning-Fundamentals Public

   Deep learning fundamentals - neural networks, CNNs, RNNs, Transformers, backpropagation, and activation functions with Keras/TensorFlow

   Jupyter Notebook 1

4. Python-AI-Applications Python-AI-Applications Public

   Modern AI applications in Python - image captioning, audio transcription with Whisper, chatbots, and computer vision with PyTorch/Gradio.

   Jupyter Notebook 1

5. Python-Machine-Learning-Complete-Guide Python-Machine-Learning-Complete-Guide Public

   Comprehensive machine learning fundamentals - supervised/unsupervised learning, model evaluation, and real-world projects with scikit-learn.

   Jupyter Notebook 1

6. Python-Data-Science-Reference-Guide Python-Data-Science-Reference-Guide Public

   End-to-end data science reference - importing, wrangling, EDA, modeling, and evaluation with practical code snippets

   Jupyter Notebook 1