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Generative AI: Fundamentals, Applications, and Challenges

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.

4.7

(49 ratings)

2,527 already enrolled

Instructors:

English

فارسی

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Generative AI: Fundamentals, Applications, and Challenges

This course includes

2 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

Free course

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

Generative AI
Machine Learning
Data Science
AI Ethics
Responsible AI
Prompt Engineering
AI Applications
Technology Ethics
Data Protection
AI Lifecycle

This course includes:

1.1 Hours PreRecorded video

4 assignments

Access on Mobile, Tablet, Desktop

FullTime access

Shareable certificate

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

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Certificate

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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

Merve Hickok
Merve Hickok

5 rating

18 Reviews

4,077 Students

9 Courses

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.

Generative AI: Fundamentals, Applications, and Challenges

This course includes

2 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

Free course

Testimonials

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Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.