From LLMs to Agents: Building Intelligent Systems Workshop

We will explore the emerging paradigm of Agentic AI systems, focusing on how Large Language Models (LLMs) can be extended into systems that reason, plan, and interact effectively with tasks and environments.

Building on core LLM concepts, the course emphasizes the methodologies required to design structured, reliable, and adaptive agentic workflows, combining recent advances in reasoning, verification, and harness engineering with practical system design principles.

• Review of key LLM concepts (prompting, reasoning, and retrieval)
• Techniques for improving agent performance and harness engineering practices
• Evaluation frameworks for agentic systems
• Best practices to design a reliable system

Workshop Instructors

Afshine Amidi, Adjunct Lecturer, ICME
Senior Machine Learning Scientist, Netflix


 

Shervine Amidi, ICME Alum and Adjunct Lecturer, ICME
Senior Machine Learning Engineer, Netflix