Machine Learning, Data Science & AI Engineering with Python

About this course

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, SVMs, 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 AIGo beyond traditional ML to learn the latest AI tools and techniques:

• Transform

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