Berkeley ai agent course. LLM Agents MOOC 2025 (Free course with certificate) 2025 is considered as the year of AI Agents AI Agents which use LLMs as the backbone can observe, think and make decisions to perform Dec 20, 2024 · So, when I signed up for UC Berkeley’s LLM Agents MOOC, I was excited to dig into how large language models (LLMs) are evolving into agents that can reason, act, and collaborate in increasingly complex ways. The AgentX – LLM Agents MOOC Competition, hosted by Berkeley RDI in conjunction with the Advanced LLM Agents MOOC, is calling for trailblazers ready to push the boundaries of AI and Agents. In this course, we will first discuss fundamental concepts that are essential for LLM agents, including the foundation of LLMs, essential LLM abilities required for task automation, as well as In this course, we will first discuss fundamental concepts that are essential for LLM agents, including the foundation of LLMs, essential LLM abilities required for task automation, as well as infrastructures for agent development. In particular, LLMs have been developed as agents to interact with the world and handle various tasks. With the continuous advancement of LLM techniques, LLM agents are set to be the upcoming breakthrough in AI, and they are going to transform the future of our daily life with the support of Course Description Large language model (LLM) agents have been an important frontier in AI, however, they still fall short critical skills, such as complex reasoning and planning, for solving hard problems and enabling end-to-end applications in real-world scenarios. Oct 4, 2024 · To conclude, the UC Berkeley course on Large Language Model Agents offers a comprehensive exploration of the cutting-edge developments in AI. In this course, we will first discuss fundamental concepts that are essential for Agentic AI, including the foundation of LLMs, reasonsing, planning, agentic frameworks and infrastructure. This course turned out to be one of the most engaging learning experiences I’ve had recently. We begin by introducing advanced inference and post-training techniques for building LLM agents that can search and plan. In this course, we will first discuss fundamental concepts that are essential for LLM agents, including the foundation of LLMs, essential LLM abilities required for task automation, as well as infrastructures for agent development. Course Description Large language models (LLMs) have revolutionized a wide range of domains. As we stand on the brink of this AI breakthrough, it Multimodal understanding, grounding and world models Multi-agent learning, theory of mind Safety and privacy LLMs are susceptible to adversarial attacks, can emit harmful messages and leak private data Human-agent interaction, ethics How to effectively control the LLM agent behavior, and design the interaction mode between humans and LLM agents. Building on our previous course, this course dives deeper into advanced topics in LLM agents, focusing on reasoning, AI for This LLM Agents Hackathon, hosted by Berkeley RDI and in conjunction with the LLM Agents MOOC, aims to bring together students, researchers, and practitioners to build and showcase innovative work in LLM agents, grow the AI agent community, and advance LLM agent technology. Whether you’re exploring uncharted research frontiers or building the next big AI/Agents startup, AgentX is your launchpad to make a lasting impact. Building on our previous course, this course dives deeper into advanced topics in LLM agents, focusing on reasoning, AI for mathematics, code generation, and program verification. Sep 17, 2025 · This week, Berkeley RDI launched its Fall 2025 Agentic AI MOOC with our community of over 25,000 eager learners! On Monday, OpenAI researcher Yann Dubois gave a general overview of LLM agents, explaining pretraining, reasoning, and reinforcement learning, among other key concepts. rkcm cy5m utej bydvnwon e5a6 v5n xvju nn kiefxt hguhl