This course is part of Responsible Generative AI.
This introductory course provides a solid foundation in generative artificial intelligence (AI), covering fundamental concepts, practical applications, and ethical challenges. You'll explore the differences between predictive and generative AI, understand the AI lifecycle, and learn about data training and fine-tuning processes. The course examines various use cases across business, operations, and society, while also addressing critical concerns like inaccuracies, bias, copyright infringement, and data protection. Designed for beginners, this course equips you with essential knowledge to navigate the rapidly evolving landscape of generative AI responsibly.
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What you'll learn
Understand the fundamental concepts and principles of generative AI
Differentiate between predictive and generative AI systems
Explore the complete lifecycle of generative AI development and deployment
Analyze various applications and use cases across different industries
Identify potential risks including inaccuracies, bias, and copyright issues
Evaluate data protection considerations and security vulnerabilities
Skills you'll gain
This course includes:
1.1 Hours PreRecorded video
4 assignments
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FullTime access
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There are 3 modules in this course
This comprehensive course introduces students to the fundamentals of generative artificial intelligence, providing a balanced perspective on both its powerful applications and inherent challenges. The curriculum begins with core concepts, distinguishing between predictive and generative AI while exploring the complete AI lifecycle from data training to deployment. Students learn about various implementation approaches including system and user prompts, and examine real-world applications across industries. The course emphasizes responsible AI practices, covering critical issues such as output inaccuracies, data protection, bias, copyright concerns, security vulnerabilities, and the limitations of outdated training data. Through practical exercises and discussions, students develop the knowledge needed to evaluate generative AI systems critically and implement them ethically.
Introduction to the Course
Module 1 · 58 Minutes to complete
Use Cases of Generative AI
Module 2 · 21 Minutes to complete
Responsible Generative AI Concepts
Module 3 · 1 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Responsible Generative AI
Instructor
Data Science Ethics Lecturer
Merve Hickok is a data science ethics lecturer at the University of Michigan, School of Information, and the Responsible Data and AI Advisor at Michigan Institute for Data Science. In addition to her teaching role, Merve is the founder of AIethicist.org. She is a globally renowned expert on AI policy, ethics and governance. Her contributions and perspective have featured in the Guardian, CNN, Forbes, Bloomberg, Wired, Scientific American, Politico, Protocol, Vox, The Economist and S&P. Her work focuses on the impact of AI systems on individuals, society, with a particular focus on fundamental rights, democratic values, and social justice. Merve is also the President and Research Director at Center for AI and Digital Policy, working with global AI policymakers and advocates. The Center educates AI policy practitioners and advocates across 80+ countries, advises international organizations (such as European Commission, UNESCO, the Council of Europe, OECD). Merve has provided testimony to the US Congress, State of California, New York City Department of Consumer and Worker Protection, and Detroit City Council on AI policy and governance. Merve also works with several non-profit organizations globally to advance both the academic and professional research in this field for underrepresented groups. She has been recognized by a number of organizations – most recently as one of the 100 Brilliant Women in AI Ethics™ – 2021, and Lifetime Achievement Award - Responsible AI Leader of the Year – 2023 (Women in AI). Previously, Merve held various senior roles in Fortune 100 companies for more than 15 years.
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Frequently asked questions
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