This course focuses on designing scalable AI systems, a crucial skill as AI continues to permeate various industries. You'll explore the architecture and infrastructure behind production AI systems, gaining hands-on experience through practical case studies. Key topics include modern technologies like LLMs, RAG, and AI agents, as well as essential concepts in Machine Learning and Natural Language Processing.
What you'll learn
Design end-to-end AI systems from requirements to architecture
Understand architecture patterns for Supervised Learning systems
Build scalable LLM and Generative AI applications
Architect AI Agent and Multi-Agent systems
Design Natural Language Processing applications using modern AI architectures
Course objectives
Equip engineers with the skills to design AI systems that scale
Prepare students for AI System Design interviews
Enable students to think like Senior AI Engineers and AI Architects