Prepare for your next system design interview with a focus on generative artificial intelligence (GenAI). This course is tailored for machine learning engineers and data scientists looking to excel in interviews that involve designing systems with GenAI. As a continuation of the "ML System Design Interview" course, which covered foundational topics such as search and recommendation systems, this course delves into the realm of GenAI, exploring the distinct challenges of designing these cutting-edge systems.
Course Overview
Whether you're preparing for system design interviews or seeking to expand your knowledge of practical GenAI applications, this course offers valuable insights. We'll start by introducing you to fundamental concepts and significant use cases of GenAI, setting the stage for more advanced learning.
The Universal Framework for GenAI System Design
The course introduces a universal framework for designing ML systems, a tool you can use in both interview scenarios and actual projects. This framework serves as a foundation for analyzing and building GenAI systems, providing clarity and structure to the design process.
Part I: Understanding Generative AI
In the initial section, we'll explore the basic principles and prevalent use cases of GenAI to give you a solid grounding in the topic. This foundation will help you understand how these systems operate and the specific requirements they entail.
Part II: Applying the Framework
Building on the universal framework, this section offers real-world examples of crafting popular systems with GenAI. You'll gain insights into effective design strategies for diverse applications, helping you tackle interview challenges or real-world projects involving generative AI.
