contents - Regularly updated to meet industry demand
Artificial Intelligence
Introduction to Artificial Intelligence - AI Problem Solving & Search Algorithms -
Python Programming for AI - Data & Mathematics for AI - Machine Learning -
Deep Learning & Neural Networks - Natural Language Processing (NLP) -
Generative AI & Prompt Engineering - AI Agents & Agentic AI – Industrial AI -
AI Applications, Ethics & Future of AI – Capstone Project
Machine Learning
Introduction to Machine Learning - Types of Machine Learning (Supervised, Unsupervised, Reinforcement) - Python for Machine Learning
Data Preprocessing and Cleaning - Feature Engineering and Selection - Regression Algorithms - Classification Algorithms -
Clustering Algorithms - Dimensionality Reduction - Model Evaluation and Validation - Hyperparameter Tuning -
Ensemble Learning - Neural Networks and Deep Learning Basics - Natural Language Processing (NLP) - Machine Learning Projects and Case Studies
