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
COURSE PREREQUISITES
- College-level Calculus and Linear Algebra.
- A basic understanding of Machine Learning concepts.
- Prior computer vision and deep learning knowledge is beneficial but not mandatory.
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
FREQUENTLY ASKED QUESTIONS
- Why is registration limited? To enhance individual engagement and hands-on learning, our workshop is held in person with a limited number of participants giving priority to ICME affiliate members.
- How do I know if my company is an ICME affiliate? Click the link to learn if your company is an ICME affiliate: https://icme.stanford.edu/Affiliate-Program
- How do I pay for the workshop? After registering, you will receive an email asking for your payment.
- Do you offer group discounts? We offer a 10% group discount if an organization registers at least five people. For more information, please contact Tanya Schornack at tschorna@stanford.edu.
- When will I receive my certificate? Expect to receive it within one week after the workshop concludes.
- What is the refund policy? Refunds are processed on a case-by-case basis. For credit card payments, a 2.9% fee will be deducted from the total amount. To request a refund, please contact ICME at icme-contact@stanford.edu. ICME reserves the right to decline refund requests.
- Do I need to bring my own computer to the workshop? Yes, you will need to bring your own computer with a full charge, as outlets are limited. We'll send additional notifications closer to the event regarding accessing class materials and a website.
- Will lunch be provided during the workshop? Lunch will be provided for all participants during the workshop. If you have any dietary requirements, please let us know.
- Where will the workshop be held? The workshop is scheduled to take place on the Stanford main campus. Detailed information will be sent to you after registration.
- Where should I park? Visitor parking is available in designated Stanford campus areas. All visitor parking payments are contactless and managed through ParkMobile. Detailed information on the nearest parking lots will be sent to you after registration. Click here to purchase visitor parking.
COURSE CANCELLATIONS
ICME reserves the right to cancel a course for any reason. If ICME cancels a course, you will automatically be granted a full refund, including the registration fee and any course fees.