Launching Free PYTHON & MATHs Course for AI/ML | Beginner to Advanced

Learn PYTHON & MATHs for AI/ML end-to-end—completely FREE on My YouTube Channel. In this video, I’m announcing the complete Python + Maths syllabus that I will teach alongside my AI/ML course so that you can build strong foundations and never feel stuck while learning Machine Learning, Deep Learning, NLP, Computer Vision, GenAI, VLMs, and more. What you’ll learn in Python (Zero → Practical): ------------------------------------------------------------------------- This Python roadmap is designed specifically for AI/ML learners. We’ll start from basics and move step-by-step into the real tools used in industry and research: Python basics, data types, control flow Core data structures (lists, tuples, sets, dicts) Functions, modules, pythonic style Files, OS, JSON, project structure OOP (just enough for libraries) NumPy for arrays, vectors, matrices Pandas for DataFrames, cleaning, feature work Matplotlib + Seaborn for EDA Scikit-learn for classical ML pipelines PyTorch fundamentals, autograd, training loops, datasets & mini projects What you’ll learn in Maths for AI/ML: ---------------------------------------------------------- This is the exact maths you need to truly understand model training, loss landscapes, embeddings, attention, PCA, and optimization—without unnecessary pure-math overload: Algebra & functions Linear algebra: vectors, matrices, independence, rank, projections, PD/PSD, eigenvalues, SVD Calculus: gradients, chain rule, Jacobian, Hessian Probability: random variables, distributions, Bayes Statistics: sampling, CLT, evaluation metrics Optimization: GD/SGD/mini-batch, learning rate, regularization, constraints Clear mapping of maths → ML/DL/NLP/CV/GenAI topics Who this is for: ------------------------ Complete beginners starting AI/ML Students who want strong fundamentals Anyone who wants a structured, confusion-free learning path How this will help you: ------------------------------------ By the end of these two foundation tracks, you’ll be ready to confidently follow the main AI/ML course and implement models without fear of math or code gaps. This video is part of my *free AI/ML Crash Course* on YouTube, from beginner to advanced, completely in Hindi/English with strong mathematical intuition and real-world examples. 👉 Make sure to: Pause and make your own notes Try to run the Python code yourself 📞 Want 1:1 personal mentorship with me? Book a session on Topmate here: [https://topmate.io/sonuyadav5504] 👉 Join now and be part of the inner circle:    / @sonuyadav5504.   🔗 Connect with Me: ---------------------------------- Instagram (YouTube) →   / sonuyadav_iitdelhi   Instagram (Personal) →   / sonuyadav5504   WhatsApp Community → https://chat.whatsapp.com/G8CYtfqtK2O... Join WhatsApp Channel for notes: https://whatsapp.com/channel/0029Vb7b... #Python #MathsForAI #MachineLearning #DeepLearning #NLP #ComputerVision #GenAI #PyTorch #ScikitLearn #NumPy #Pandas #LinearAlgebra #Calculus #Probability #DataScience #GATE #IITDELHI #IIT #IISC #AI #HONDA #JAPAN #CAREER #VLOG