Atul Jha
Courses by Atul Jha
Deep Learning
The definitive, code-first deep learning curriculum. Master MP Neurons, Perceptrons, Sigmoids, Backpropagation, Modern Optimizers (Adam, RMSProp), CNNs, and RNNs from scratch in Python.
Foundations of Data Science
Master the complete mathematical and computational foundations of Data Science. From CRISP-DM engineering, descriptive statistics, Python, NumPy, and Pandas to probability, the Central Limit Theorem, and Chi-Square tests.
Large Language Models & Generative AI
Comprehensive guide to contemporary LLM architectures, high-dimensional vector embeddings, semantic search with Pinecone and ChromaDB, prompt engineering patterns, and autonomous agent loops.
Foundations of Machine Learning
Code-first principles of supervised and unsupervised machine learning. Build linear regressors, vectorized gradient descent optimizers, and regularization pipelines from mathematical scratch.
Python Mastery & Linear Algebra for AI
Master Python programming from fundamentals to advanced CPython memory internals, object-oriented design, vectorized computing with NumPy & Pandas, and geometric linear algebra for modern machine learning.