---

📚 Courses and Modules

✅ Core Modules

• Machine Learning with Python
  Learn the fundamentals of machine learning using scikit-learn and Python.

• Introduction to Neural Networks and PyTorch
  Build your first neural networks and understand the PyTorch workflow.

• Deep Learning with PyTorch
  Dive deeper into CNNs, RNNs, and training optimization in PyTorch.

• Deep Learning with Keras and TensorFlow
  Create deep learning models using the Keras high-level API in TensorFlow.

🔥 Advanced Topics

• Generative AI and LLMs: Architecture and Data Preparation
  Understand the architecture behind LLMs and how to prepare datasets for training.

• Generative AI Language Modeling with Transformers
  Explore transformer models and their role in generative tasks.

• Fine-Tuning Transformers for Generative AI
  Hands-on techniques to fine-tune LLMs for specific applications.

• Advance Fine-Tuning for LLMs
  Learn about parameter-efficient fine-tuning (PEFT), LoRA, and prompt engineering.

• Foundational Models for NLP & Language Understanding
  Learn how foundational models like BERT and GPT power NLP applications.

• AI Agents Using RAG and LangChain
  Build Retrieval-Augmented Generation agents using LangChain, vector databases, and LLMs.

🏁 Capstone and Projects

• AI Capstone Project with Deep Learning
  A complete real-world project applying deep learning techniques.

• Project: Generative AI Applications with RAG and LangChain
  End-to-end application of a GenAI agent using modern tools and APIs.

---