Berkeley RDI Center on Decentralization & AI
UC Berkeley RDI Center – rdi.berkeley.edu
World's first Advanced LLM Agents MOOC - llmagents-learning.org/sp25
World's first LLM Agents MOOC - llmagents-learning.org/f24
World's first Zero Knowledge Proof MOOC – zk-learning.org/
World’s first DeFi MOOC – defi-learning.org
World's first MOOC on Entrepreneurship in web3 – web3-startups.org/
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UC Berkeley Center for Responsible, Decentralized Intelligence (RDI) is a multi-disciplinary, campus-wide initiative, focusing on advancing the science and technology of decentralization and decentralized intelligence, to make it universally accessible and empower a responsible digital economy.
Agentic AI MOOC | UC Berkeley CS294-196 Fall 2025 | LLM Agents Overview by Yann Dubois
Workshop: Foundry: How to 10x AI Agent Price Performance with Inference Time Scaling
Workshop: Auth0/Okta: AI Agents That Interact With the World Around Them by Auth0/Okta
Workshop: AMD: Agentic Intelligence in Action with MCP, vLLM and PydanticAI powered by AMD
Workshop: Block: Vibe Coding with Goose Building Apps with AI Agents and MCP by Block
Workshop: PyTorch / Linux Foundation: Architecting an Open Agentic Future with Open Source and...
Workshop: Lambda: Multimodal Challenges, Neural Operating Systems, and Deploying AI Agents by Lambda
Victor Aranda - What's Old Is New Again; Familiar Patterns Emerging in the Era of Agents
Bo Li - Guarding the Future: Advancing Risk Assessment, Safety Alignment, and Guardrail Systems...
John Dickerson - Choice and Open Source AI
Nicole Nichols - Achieving a Secure AI Agent Ecosystem
Leo Meyerovich - Louie.AI: Speed Running Cybersecurity Analyst Competitions
Aashutosh Nema - From Hype to Impact: Bringing Agentic AI to Existing Systems
Michelle Tabart - Measuring What Matters: Designing AI Agents That Deliver Real-Time Savings ROI
Anu Trivedi - Agentic AI in Healthcare: Building Trustworthy Autonomy at Oracle Health
Manling Li - RAGEN: Training Agents by Reinforcing Reasoning
Akshata Rao - Enhancing Evaluator Efficacy in Generative AI Red Teaming: Methodologies for Quality..
Adam Kaplan - Building Autonomous Agents
Risto Miikkulainen - Neuroevolution: Harnessing Creativity in AI Agent Design
Zifan Wang - Agent Safety: From Red Teaming to Oversight
Divy Thakkar - Evolving Interaction Paradigms for Software Prototyping with LLMs
Jose Renau - Building Hardware Agents
Samuel Rodriques - Automating Scientific Research with AI Agents
Rose Yu - Grounding Foundation Models for Physical Sciences
Le Cong - From Code to Cell: Building AI Agents for Gene-Editing, Stem-Cell Programming, and Beyond
Tapan Shah - Evaluating AI Agents for Healthcare: Scenarios, Metrics and Stress Testing
Xifeng Yan - Transforming Agent-Based Customer Service Chatbots with Declarative Programming
Pushkar Nandkar - SambaNova SN40L: Unleashing Agentic AI with Dataflow
Chi Wang - MassGen: Frontier Multi-Agent Scaling in Open Source
Nandi Subhrangshu - Evaluating Agents that Automate Complex Industrial SOPs