Fundamentals of Generative AI Course

By Hakeem Ali-Bocas Alexander

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Episodes: 11

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Fundamentals of Generative AI Course

We start by demystifying what Generative AI truly is and how it differs from other forms of machine learning. Then, we’ll guide you through its core techniques, including Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and cutting-edge Diffusion Models. You’ll learn not just the theory, but also get a practical, hands-on walkthrough on setting up your environment and building a simple generative model from scratch.

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Episode Date
Fundamentals of Generative AI: Course Completion, Resources & Recommendations
Jan 20, 2025
Fundamentals of Generative AI Course: Practice Assessment I & Final Assessment II
Jan 20, 2025
Fundamentals of Generative AI – Module 4: Ethical Considerations and Future Trends – Lesson 4.2
Jan 20, 2025
Fundamentals of Generative AI – Module 4: Ethical Considerations and Future Trends – Lesson 4.1
Jan 20, 2025
Fundamentals of Generative AI – Module 3: Implementing Generative AI – Lesson 3.2
Jan 20, 2025
Fundamentals of Generative AI – Module 3: Implementing Generative AI – Lesson 3.1
Jan 20, 2025
Fundamentals of Generative AI Course – Module 2: Core Concepts and Techniques – Lesson 2.2
Jan 20, 2025
Fundamentals of Generative AI Course – Module 2: Core Concepts and Techniques – Lesson 2.1: Machine Learning Basics
Jan 20, 2025
Fundamentals of Generative AI – Module 1: Introduction to Generative AI – Lesson 1.2
Jan 20, 2025
Fundamentals of Generative AI. Module 1: Introduction to Generative AI
Jan 20, 2025
Preamble to Fundamentals of Generative AI Course
Jan 20, 2025