Explore the design of scalable generative AI systems guided by a structured framework and real-world systems in text, image, audio, and video generation.

This course will prepare you to design generative AI systems with a practical and structured approach. You will begin by exploring the foundational concepts, such as neural networks, transformers, tokenization, embedding, etc. This course introduces a 6-step SCALED framework, a systematic approach to designing robust GenAI systems.

Next, through real-world case studies, you will immerse into the design of GenAI systems like text-to-text (e.g., ChatGPT), text-to-image (e.g., Stable Diffusion), text-to-speech (e.g., ElevenLabs), and text-to-video (e.g., SORA). This course describes these systems from a user-focused perspective, emphasizing how user inputs interact with backend processes.

Whether you are an ML/software engineer, AI enthusiast, or manager, this course will equip you to design, train, and deploy generative AI models for various use cases. You will gain confidence to approach new challenges in GenAI and leverage advanced techniques to create impactful solutions.

Grokking the Generative AI System Design

**Congratulations** on completing this cutting-edge course on generative AI System Design. You’ve journeyed through the complexities of systems that power today’s advanced AI technologies—no small feat—and now you’ve reached the finish line!

Conclude GenAI System Design by summarizing key takeaways and their applications.

Introduction to GenAI System Design

Fundamental Concepts in GenAI

Systematic Framework for Designing GenAI Systems

System Design of a Text-to-Text Generation System

System Design of a Text-to-Image Generation System

System Design of a Text-to-Speech Generation System

System Design of a Text-to-Video Generation System

Conclusion

Wrapping Up GenAI System Design

Key highlights and takeaways