Artificial Intelligence & Machine Learning
About Course
This course provides a comprehensive journey into the world of Artificial Intelligence (AI) and Machine Learning (ML) — from foundational principles to advanced real-world applications. Designed for students, professionals, and enthusiasts eager to master AI, this course covers both theoretical concepts and practical implementations using modern tools and frameworks.
Through hands-on projects, learners will explore how machines can learn from data, recognize patterns, and make intelligent decisions. By the end of the course, participants will have the skills to design, train, and deploy AI-driven systems across various domains.
Course Content
Foundation
Introduction to AI & ML
History and Applications of AI
Machine Learning vs Deep Learning
Supervised Learning Basics
Unsupervised Learning Basics
Regression (Linear, Polynomial, Logistic)
Classification Algorithms
Clustering (K-Means, Hierarchical)
Decision Trees & Random Forests
Evaluation Metrics (Accuracy, F1, ROC)
Intermediate:
Advanced
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