Class 9_Artificial Intelligence_Code (417) - STEMpedia Education

Course Content

Part B_ Subject Specific Skills_Unit 1: AI Reflection, Project Cycle and Ethics

S1: AI Reflection

S2: AI PROJECT CYCLE – P1

S3: AI PROJECT CYCLE – P2

S4: Problem Scoping

S5: Data Acquisition

S6: Data Exploration/Data Visualization

S11: AI Bias and AI Access

Unit 2: Data Literacy

S12: Basics of data literacy ‘

S13: Acquiring Data, Processing, and Interpreting Data

S14: Project Interactive Data Dashboard & Presentation

Unit 3: Math for AI (Statistics & Probability)

S15: Importance of Math for AI

S16: Statistics

S17: Introduction to Probability

S18: Applications of Probability

Unit 4: Introduction to Generative AI

S19: Introduction to Generative AI

S20: Types of Generative AI

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