Master Deep Learning,Generative AI ,Pytorch:Zero to Agent AI | Udemy

Master Python, PyTorch & Transformers: From Basics to Advanced AI Projects

Course Highlights:

1. Master Python & Core Libraries
   • Learn Python basics (syntax, data structures, OOP).
   • Manipulate data with Pandas, crunch numbers with NumPy, and visualize insights with Matplotlib.
2. Build Machine Learning Foundations
   • Code ANNs, linear/logistic regression from scratch in Python (no frameworks!).
   • Reimplement models using PyTorch to leverage tensor operations and autograd.
3. Dive into Transformers & Modern AI
   • Decode the Transformer paper (attention mechanisms, positional encoding, self-attention).
   • Build a Transformer from scratch in PyTorch—layer by layer!
4. Industry-Ready Projects
   • Project 1: Build a Transformer Model End-to-End
     • Train it on real data for tasks like text generation or translation.
   • Project 2: RAG (Retrieval-Augmented Generation) Agent with DeepSeek
     • Integrate retrieval models + transformers to create an AI agent that answers questions using external knowledge.
     • Handle data pipelines, fine-tuning, and deployment.
5. Why This Course Stands Out?
   • Zero to Advanced: Start with Python basics, end with cutting-edge AI.
   • Code Without Frameworks First: Deepen understanding before using PyTorch shortcuts.
   • Paper-to-Practice: Implement the Transformer architecture exactly as described in the seminal paper.
   • Portfolio Boost: Showcase your RAG agent and Transformer projects to employers.

Perfect For:

• Aspiring AI/ML engineers, data scientists, or developers.
• Learners who want hands-on projects (not just theory!).
• Anyone aiming to crack NLP roles or build LLM-powered apps.

You’ll Leave With:

• Fluency in Python, PyTorch, and transformer theory.
• A deployed RAG agent project + full Transformer implementation.
• Confidence to tackle real-world AI challenges.

Enroll Now – Transform Code into Intelligent Systems!