Class 9 – Coding, AI & Robotics Course

Course Content

Session 1: Introduction to Python Programming

Session 2: Lists and Strings in Python

Session 3: Introduction to Artificial Intelligence

Session 4: Types of Data

Session 5: Types of Learning Models

Session 6: AI Application and Methodology

Session 7: Introduction to Matrices and Set Theory

Session 8: Math for AI Part – 1

Session 9: Math for AI Part – 2

Session 10: AI Values: Ethical Decision Making

Session 11: Story Telling

Session 12: Introduction to Numpy and Pandas

Session 13: Critical and Creative Thinking

Session 14: Critical and Creative Thinking

Session 15: AI Based Self Driving Car Part – 1

Session 16: AI Based Self Driving Car Part – 2

Session 17: AI Based Waste Collector Part – 1

Session 18: AI Based Waste Collector Part – 2

Session 19: AI Based Waste Collector Part – 3

Session 20: Data Analysis Part – 1

Session 21: Data Analysis Part – 2

Session 22: Data Analysis Part – 3

Session 23: Regression Part –1

Session 24:Regression Part –2

Session 25: Classification Part –1

Session 26:Classification Part –2

Session 27:Classification Part –3

Session 28: Clustering

Session 29: Bias Awareness

Session 30: Robot Pet

Project

Session 31: Project