Lecture 1 - AI in Business: Milestones, Applications, and Organizational Challenges - 1
Lecture 2 - AI in Business: Milestones, Applications, and Organizational Challenges - 2
Lecture 3 - AI in Business: Milestones, Applications, and Organizational Challenges - 3
Lecture 4 - Case of AI Development: OpenAI and Industry Adoption
Lecture 5 - Case of AI for Social Impact : e-Paarvai in Healthcare
Lecture 6 - Machine Learning (ML) Fundamentals: Modeling and Testing
Lecture 7 - Artificial neural networks - 1
Lecture 8 - Artificial neural networks - 2
Lecture 9 - ANN for Stock Market Application
Lecture 10 - Digital Business Strategy: Enterprise systems to Ecosystems - 1
Lecture 11 - Digital Business Strategy: Enterprise systems to Ecosystems - 2
Lecture 12 - AI-Driven Business Models and Platforms
Lecture 13 - AI-Driven Business Models and Global Platform Strategy: The Bytedance Case
Lecture 14 - Industry Lecture - Strategies for future of work in management
Lecture 15 - Business Value of AI: Strategic, Capability, and Value-Creation Perspectives
Lecture 16 - Business Value of AI: A Case in Point
Lecture 17 - Vibe Coding
Lecture 18 - Vibe Coding Demo
Lecture 19 - Business Value of AI: Measuring What Matters - Part 1
Lecture 20 - Business Value of AI: Measuring What Matters - Part 2
Lecture 21 - Algorithmic Decision Making - 1
Lecture 22 - Algorithmic Decision Making - 2
Lecture 23 - Machine Bias: Root Cause, Examples, and Cognitive Biases in Data
Lecture 24 - AI for Decision-Making: Interpretability and Explainability
Lecture 25 - Interpretability, Explainability, and the Black Box Problem in AI
Lecture 26 - Introduction to RNN and LSTM - 1
Lecture 27 - Introduction to RNN and LSTM - 2
Lecture 28 - Advances in ANN - 1
Lecture 29 - Advances in ANN - 2
Lecture 30 - AI Risk: Sources
Lecture 31 - AI Risk and Bias: Sources, Examples, and Control Mechanisms
Lecture 32 - The Dark Side of AI: Manifested Risks and the Alignment Problem
Lecture 33 - Case: AI for VA
Lecture 34 - Prompt Engineering
Lecture 35 - Responsible AI: An Introduction
Lecture 36 - Case - Responsible AI: Silenced No More!
Lecture 37 - AI and Fairness
Lecture 38 - Responsible AI: Principles, Governance and Regulation - Part 1
Lecture 39 - Responsible AI: Principles, Governance and Regulation - Part 2
Lecture 40 - Building AI Systems Responsibly
