/// Fall 2026 · Mondays & Thursdays
Twelve weeks from prompting basics to reinforcement learning. Monday lectures teach the concept; Thursday Claude Code workshops make you build it.
Mon · Lecture
An introduction to the club and the foundational concepts behind agentic AI, plus prompting basics.
Thu · Workshop
Mon · Lecture
Methods for effective prompt engineering and techniques for enabling agents to call external tools.
Thu · Workshop
Mon · Lecture
Deep dive into Retrieval-Augmented Generation for grounding agent responses in external data.
Thu · Workshop
Mon · Lecture
Strategies for implementing and managing different types of agent memory.
Thu · Workshop
Mon · Lecture
Designing complex systems involving multiple collaborating agents.
Thu · Workshop
Mon · Lecture
Exploring the use of context management and advanced evaluation harness design.
Thu · Workshop
Mon · Lecture
Techniques for designing graph structures and agentic feedback loops for iterative task execution.
Thu · Workshop
Mon · Lecture
Establishing frameworks and metrics to evaluate the reliability and performance of agents.
Thu · Workshop
Mon · Lecture
Techniques for fine-tuning LLMs and applying model distillation.
Thu · Workshop
Mon · Lecture
Advanced optimization techniques including preference learning, GRPO, and reinforcement learning principles for agent behavior.
Thu · Workshop
Fall Break
Rest up. The final stretch builds your capstone.
Mon · Lecture
Designing and developing agents capable of interacting through voice.
Thu · Workshop
Mon · Lecture
A dedicated studio week for working on and presenting final agentic AI projects.
Thu · Workshop
Every week builds on the last — join now and don't play catch-up.
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