Artificial Intelligence

This course is part of Business & Technology Specialization

Instructor: Siva Balasubramanian

Skills you'll gain

  •   Artificial Intelligence and Machine Learning (AI/ML)
  •   Emerging Technologies
  •   ChatGPT
  •   Business
  •   Automation
  •   OpenAI
  •   Applied Machine Learning
  •   Productivity Software
  •   Market Data
  •   Deep Learning
  •   Market Intelligence
  •   Business Intelligence
  •   Ethical Standards And Conduct
  •   Generative AI
  •   Human Machine Interfaces
  •   Business Solutions
  •   Supervised Learning
  •   Machine Learning
  •   Artificial Intelligence
  •   Technology Strategies
  • 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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