AI and Machine Learning
Become an AI engineer — learn ML, deep learning, NLP, CV & deployment
10 weeks • 40+ hours
12 Modules • 60+ Resources
Course Overview
This program builds deep expertise in AI and Machine Learning — from mathematical intuition to neural networks, real datasets, model tuning, and deployment workflows.
Through projects, experiments, automation and cloud deployment, you'll learn to design intelligent systems used in healthcare, finance, retail, robotics, cybersecurity and more.
Topics Covered
Introduction to Artificial Intelligence
Mathematics for ML — Linear Algebra, Calculus & Probability
Python for AI — NumPy, Pandas & Visualization
Supervised & Unsupervised Machine Learning
Regression, Classification & Clustering
Model Evaluation, Metrics & Cross Validation
Feature Engineering & Hyperparameter Optimization
Deep Learning — Neural Networks & Backpropagation
Computer Vision — CNNs & Image Classification
Natural Language Processing — Transformers & LLMs
Reinforcement Learning Fundamentals
MLOps, Deployment & Real-World AI Systems
What You'll Learn
Build, train & optimize AI and ML models from scratch.
Use Python, Scikit-learn, TensorFlow & PyTorch effectively.
Apply AI in NLP, Computer Vision & automation workflows.
Deploy ML systems using cloud, APIs & MLOps pipelines.
Solve real business problems using AI-driven applications.