Skills you'll gain

There are 9 modules in this course

For millennia, humans have pondered the idea of building intelligent machines. Ever since, AI has had highs and lows, demonstrated successes and unfulfilled potential. Today, AI is empowering people and changing our world. Netflix recommends movies, Amazon recommends popular products, and several EV manufacturers are working to perfect self-driving cars that can navigate safely around other vehicles without human assistance. More recently, Generative AI (e.g., OpenAI’s GPT-4, and variants of this concept such as Google’s Gemini, Anthropic’s Claude or Microsoft’s Copilot) has revolutionized and energized imaginations and expectations with multi-modal capabilities. Businesses are scrambling to suitably adjust AI strategies across multiple domains and industries. This course focuses on how AI systems understand, reason, learn and interact; learn from industry’s experience on several AI use cases. It seeks to help students develop a deeper understanding of machine learning (ML) techniques and the algorithms that power those systems and propose solutions to real-world scenarios leveraging AI methodologies. Students will also learn the estimated size and scope of the AI market, its growth rate, expected contribution to productivity metrics in business operations.

Module 2: Defining and Clarifying AI and Machine-Learning Concepts

Module 3: AI and Technology Convergence

Module 4: AI Abilities Versus Human Abilities, Human/Machine Collaboration

Module 5: AI’s Impact on Work, Jobs, Humans, Productivity

Module 6: AI’s Impact Assessment from Other Dimensions - Multiple Perspectives

Module 7: Generative AI and Explainable AI

Module 8: AI Ethics and Responsible AI

Summative Course Assessment

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