Chapter 11 AI Automation

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🤖 AI/ML MASTER COURSE — BEGINNER TO ADVANCED AI/ML सीखना चाहते हैं लेकिन समझ नहीं आ रहा कि कहाँ से शुरू करें, क्या सीखें और किस order में सीखें? Prakash Digital Hub – AI/ML Master Course आपको एक structured learning journey देता है — Computer Basics से लेकर Python, Mathematics, Data Handling, Machine Learning, Deep Learning और Generative AI तक। यह course उन learners के लिए बनाया गया है जो zero से शुरुआत करके practical AI/ML skills develop करना चाहते हैं। Chapter 1 — Computer Basics Computer fundamentals, hardware/software, CPU, GPU, RAM, storage, Internet, Windows, Linux, Terminal, troubleshooting और AI/ML connection. Chapter 2 — Python Programming Python basics, variables, data types, conditions, loops, functions, data structures, file handling, exceptions, modules और practical coding. Chapter 3 — Mathematics for AI/ML Percentage, ratio, algebra, probability, statistics, vectors, matrices, linear algebra, calculus और gradient descent. Chapter 4 — Data Handling NumPy, Pandas, data cleaning, CSV/JSON, Excel, data analysis और visualization fundamentals. Chapter 5 — Machine Learning Supervised & Unsupervised Learning, Regression, Classification, Decision Trees, Random Forest, KNN, SVM, Naive Bayes, Clustering, PCA, model training, testing and evaluation. Chapter 6 — Deep Learning Neural Networks, CNN, RNN, LSTM, TensorFlow, Keras, PyTorch, training concepts और practical Deep Learning foundations. Chapter 7 — Generative AI & Beyond LLMs, Prompt Engineering, ChatGPT, AI tools, AI-assisted coding, text/image/video generation, AI automation, RAG, AI agents और real-world AI applications. ✅ Beginner-friendly explanations ✅ Concepts explained step-by-step ✅ Practical examples ✅ Coding & hands-on practice ✅ AI/ML-focused learning ✅ Projects & real-world applications ✅ Practice questions ✅ Interview-oriented concepts ✅ Career guidance ✅ Beginner → Advanced structured roadmap • Students starting AI/ML • Complete beginners • Python learners • Data Science aspirants • Mach

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Prakash Pandey

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1 November 2026