Develop essential data science & ai skills with expert instruction and practical examples.
Master Python, PyTorch & Transformers: From Basics to Advanced AI ProjectsCourse Highlights:Master Python & Core LibrariesLearn Python basics (syntax, data structures, OOP). Manipulate data with Pandas, crunch numbers with NumPy, and visualize insights with Matplotlib. Build Machine Learning FoundationsCode ANNs, linear/logistic regression from scratch in Python (no frameworks.
). Reimplement models using PyTorch to leverage tensor operations and autograd. Dive into Transformers & Modern AIDecode the Transformer paper (attention mechanisms, positional encoding, self-attention).
Build a Transformer from scratch in PyTorch-layer by layer. Industry-Ready Projects Project 1: Build a Transformer Model End-to-EndTrain it on real data for tasks like text generation or translation. Project 2: RAG (Retrieval-Augmented Generation) Agent with DeepSeekIntegrate retrieval models + transformers to create an AI agent that answers questions using external knowledge.
Handle data pipelines, fine-tuning, and deployment. Why This Course Stands Out. Zero to Advanced: Start with Python basics, end with cutting-edge AI.
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