Lead Technology Limited -Expert Zone

AI & Machine Learning

Course	contents - Regularly updated to meet industry demand
Artificial Intelligence	Introduction to Artificial Intelligence - History and Evolution of AI - Python for AI Programming - Mathematics for AI (Linear Algebra, Probability, Statistics) - Machine Learning Fundamentals - Supervised and Unsupervised Learning - Deep Learning and Neural Networks - Natural Language Processing (NLP) - Computer Vision and Image Processing - Reinforcement Learning - AI in Robotics and Automation - AI Ethics and Responsible AI - AI Tools and Frameworks (TensorFlow, PyTorch, scikit-learn) - Real-World AI Projects and Case Studies - Future Trends in AI
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