Introduction to Generative AI Numa Dhamani & Maggie Engler

Generative AI for Beginners is your comprehensive guide to understanding the fundamentals of Generative Artificial Intelligence, led by industry experts Numa Dhamani and Maggie Engler.

Course Description

This course offers a beginner-friendly yet thorough introduction to the world of Generative AI. With a perfect balance of theoretical insights and hands-on examples, this course equips you with the tools to understand how generative models work and how they are applied in real-world scenarios.
The instructors, Numa Dhamani and Maggie Engler, bring clarity to complex concepts through engaging explanations, practical demos, and ethical discussions.

You’ll start by learning the history and evolution of generative models before diving into deep learning techniques like GANs (Generative Adversarial Networks) and Transformers. By the end of the course, you will not only understand how these models generate text, images, and audio, but you’ll also know when and how to use them responsibly.

Whether you’re exploring AI as a hobby or building a foundation for a career in tech, this course offers essential knowledge for navigating the growing field of Generative AI.

What You’ll Learn

• Core concepts of Generative AI
• How Generative Adversarial Networks (GANs) function
• The role of Transformers in AI content creation
• Ethical implications of generative technologies
• Real-world applications in text, image, and audio generation

Requirements

• Basic understanding of AI and machine learning concepts
• Interest in emerging technologies
• No programming experience required, but helpful

About the Instructors

Numa Dhamani is a renowned researcher and educator in human-computer interaction and conversational AI. Maggie Engler is a data scientist and machine learning expert with a focus on ethical AI systems. Together, they present a rich learning experience tailored to beginners.

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Explore These Valuable Resources

• DeepMind: Generative Models
• OpenAI Research
• IBM: What is Generative AI?