Detailed Syllabus & Weekly Breakdown

Module 1: Introduction to AI (Weeks 1–4)

• Week 1: History and Scope of AI
• Week 2: AI Problem Solving
• Week 3: Knowledge Representation
• Week 4: Search Algorithms

Module 2: Machine Learning for AI (Weeks 5–8)

• Week 5: ML vs AI Concepts
• Week 6: Classification & Regression
• Week 7: Neural Network Basics
• Week 8: Evaluating AI Models

Module 3: Deep Learning Basics (Weeks 9–12)

• Week 9: Deep Neural Networks
• Week 10: Convolutional Networks (CNNs)
• Week 11: Recurrent Networks (RNNs)
• Week 12: Frameworks (TensorFlow/PyTorch)

Module 4: NLP & Ethics (Weeks 13–16)

• Week 13: Natural Language Processing
• Week 14: Generative AI Concepts
• Week 15: Ethics and Bias in AI
• Week 16: Final AI Project

Learning Outcomes

• AI principles
• Deep learning basics
• Ethical AI development
• AI applications

Assessment Weightage

Assessment Type	Weightage
Strategic Simulations	20%
Leadership Portfolio	20%
Quizzes & Presentations	20%
Final CXO Pitch (Capstone)	40%

The "WhiteCollar" Executive Perks

• CXO Mentorship: Direct access to industry leaders
• Investor Meets: Opportunity to pitch innovation ideas