Artificial Intelligence Fundamentals

Course Objectives

• Understand the fundamentals of Artificial Intelligence and its practical use cases.
• Learn supervised and unsupervised learning techniques.
• Build simple AI models using Python and test them in real scenarios.

Course Content

• History and ethics of AI
• Introduction to machine learning and neural networks
• Classification, regression, clustering techniques
• Tools: Python, Colab, Scikit-learn

Schedule & Details

• Duration: 4 months
• Schedule: Every Thursday, 9:00 AM to 4:00 PM
• Start date: April 24, 2025
• Level: Beginner to Intermediate

Practical Module

• Automation workflows using AI tools
• Build your own intelligent agent from scratch

Hands-on Learning Focus

Over 70% of this training is based on practical exercises, real-world case studies, and hands-on experimentation to ensure deep understanding and skill acquisition.