Machine Learning, Data Science & AI Engineering with Python

Master Machine Learning & AI Engineering — From Data Analytics to Agentic AI Solutions Launch your career in AI with a comprehensive, hands-on course that takes you from beginner to advanced. Learn Python, data science, classical machine learning, and the latest in AI engineering—including generative AI, transformers, and LLM agents / agentic AI.Why This Course?Learn by Doing With over 145 lectures and 21+ hours of video content, this course is built around practical Python projects and real-world use cases—not just theory.Built for the Real World Learn how companies like Google, Amazon, and OpenAI use AI to drive innovation. Our curriculum is based on skills in demand from leading tech employers.No Experience? No Problem Start from scratch with beginner-friendly lessons in Python and statistics. By the end, you’ll be building intelligent systems with cutting-edge AI tools.A Structured Path from Beginner to AI Engineer1. Programming Foundations Start with a crash course in Python, designed for beginners. You’ll learn the language fundamentals needed for data science and AI work.2. Data Science and Statistics Build a solid foundation in data analysis, visualization, descriptive and inferential statistics, and feature engineering—essential skills for working with real-world datasets.3. Classical Machine Learning Explore supervised and unsupervised learning, including linear regression, decision trees, SV Ms, clustering, ensemble models, and reinforcement learning.4. Deep Learning with TensorFlow and Keras Understand neural networks, convolutional neural networks (CNNs), and recurrent neural networks (RNNs), using real code examples and exercises.5. Advanced AI Engineering and Generative AI Go beyond traditional ML to learn the latest AI tools and techniques:Transform