Course: Artificial Intelligence
Modules:
Course Overview, Instructor Introduction, Module 1 Introduction, AI Overview-Landscape, Review of AI History - Part 1, Review of AI History - Part 2, Types of AI, There Are No AGI Myths, Size of the AI Market and Growth Rate, Evaluating Where AI Stands Now on Multiple Dimensions, Technology Catalysts For AI’s Development - Part 1, Technology Catalysts For AI’s Development - Part 2
Module 2 Introduction, The Broad AI/Machine Learning Domain - Part 1, The Broad AI/Machine Learning Domain - Part 2, The Meaning of Learning in AI and ML Models - Part 1, The Meaning of Learning in AI and ML Models - Part 2, The Meaning of Learning in AI and ML Models - Part 3, The Meaning of Learning in AI and ML Models - Part 4, The Meaning of Learning in AI and ML Models - Part 5, Legal Issues and the Alignment Problem, Key Factors for Designing AI Agents and ML Models, Other Key Considerations for Business System 1 - System 2 Thinking
Module 3 Introduction, Technologies that Impact AI-ML, Fully Evolved (and Older) Technologies that Impact AI - Part 1, Fully Evolved (and Older) Technologies that Impact AI - Part 1, More Midstream and Still Evolving Technologies that Impact AI - Part 1, More Midstream and Still Evolving Technologies that Impact AI - Part 2, Technologies Introduced in the 21st Century that Impact AI - Part 1, Technologies Introduced in the 21st Century that Impact AI - Part 2, Emergent Technologies that Will Likely Be Integrated with AI, Leveraging Kurzweil’s Law to Understand Implications
Module 4 Introduction, Assessing Human and AI Abilities, Scale Development - Focus on Tasks - Part 1, Scale Development - Focus on Tasks - Part 2, AI’s Advantages and Disadvantages, Key Limitations of AI - Part 1, Key Limitations of AI - Part 2, AI/ML Use Cases or Appropriate Contexts - Part 1, AI/ML Use Cases or Appropriate Contexts - Part 2
Module 5 Introduction, Predictions - Generative AI Driven Productivity Impact - Part 1, Predictions - Generative AI Driven Productivity Impact - Part 2, Predictions - Generative AI Driven Productivity Impact - Part 3, Generative AI Impact From Academic Research Studies, Impact of AI on Job Losses, AI/ML Approaches to Model Human Judgment - Part 1, AI/ML Approaches to Model Human Judgment - Part 2, AI/ML Approaches to Model Human Judgment - Part 3, The AI Chasm and Related Gaps - Part 1, The AI Chasm and Related Gaps - Part 2
Module 6 Introduction, Needs and Friction Points, Worries, Biases, Challenges, Limitations, AGI - Part 1, Worries, Biases, Challenges, Limitations, AGI - Part 2, Worries, Biases, Challenges, Limitations, AGI - Part 3, Worries, Biases, Challenges, Limitations, AGI - Part 4, AI Applications in Business - Focus on Top Ranking Firms - Part 1, AI Applications in Business - Focus on Top Ranking Firms - Part 2, AI Applications in Specific Business Functions - Part 1, AI Applications in Specific Business Functions - Part 2, AI Applications in Specific Industries-Institutions
Module 7 Introduction, Generative AI History - Part 1, Generative AI History - Part 2, Progress, Growth, and Benefits of Generative AI - Part 1, Progress, Growth, and Benefits of Generative AI - Part 2, Focus on Explainable AI (XAI) - Part 1, Focus on Explainable AI (XAI) - Part 2
Module 8 Introduction, AI Ethics - Part 1, AI Ethics - Part 2, Attention to Biases in AI Ethics Practice, Responsible AI - Part 1, Responsible AI - Part 2, Data, Privacy, Compliance and Strategy, Summary
Summative Course Assessment