course

An Anthropic engineer released a 90-minute course covering Claude Opus 5.5’s hosted agent architecture, building research agents, scheduled agents, and evaluation and CI/CD, among other topics. It is considered one of the courses most worth watching.

Matt Pocock teases a new filmed coding course featuring a 'Session' panel with full auto-scrolling transcripts that sync with the video and can be popped out to a second screen.

Matt Pocock announces his most ambitious course, 'Software Factories for Real Engineers,' a 2-week cohort starting November 9th that teaches engineers how to constrain AI coding agents with classic software engineering fundamentals (automated review, codebase design, DDD, mutation testing, feedback loops) to build a trustworthy 'software factory' and avoid AI-generated code slop.

DeepLearning.AI 新推出课程《Loop Engineering with LangChain Deep Agents》，由 LangChain 的 Sydney Runkle 与 Esmaeil Gargari 授课，讲解围绕 AI 代理构建 agent、验证、事件驱动和 hill-climbing 四种循环的工程方法。

A recommendation for Stanford's CS329Z 'Engineering AI Agents' course, which systematically covers the core of agent engineering: LLM fundamentals, RAG, tool calling and function calling, framework orchestration (DSPy, LangGraph), evaluation and reliability, and more — signaling that agent development is shifting from an API-patching craft into a serious engineering discipline.

UC Berkeley 教授、Physical Intelligence 联合创始人 Sergey Levine 将其春季深度强化学习课程（CS 185/285）全部 25 讲加客座讲座共约 36 小时的录像与作业代码免费公开在 YouTube 和 GitHub，内容涵盖模仿学习、策略梯度、离线 RL、RL for LLMs 等主题，与 ALOHA、π0 等机器人学习方法及当下推理模型训练直接相关。

A free "GPU Kernel Engineering" course series of 44 lessons has been released, starting from CPU parallel computing and CUDA basics, and progressively diving into memory optimization, GEMM, Tensor Cores, Flash Attention, and all the way to cutting-edge hardware like H100/Blackwell and AI-written kernels.

Kent C. Dodds promotes MEGA.dev, a 4-week AI agent training program (starting Oct 26) taught by John Lindquist, Theo Browne, Angie Jones, and Kent himself, covering everything from model fundamentals to autonomous systems for mid-level and senior developers already working with agents like Cursor, Codex, and Claude Code.

A long-time CS336 fan praises the course's empirical focus and expresses excitement for Stanford's new CS312 'Deep Learning Alchemy' class, announced by Tatsunori Hashimoto, which aims to teach the messy, empirical side of frontier deep learning research.

用户推荐 MIT 6.5940 Fall 2026 课程《TinyML and Efficient AI Computing》，由 Song Han 团队讲授，涵盖剪枝、量化、蒸馏、神经架构搜索、LLM 量化与部署、扩散模型优化等高效 AI 计算技术。

A deep dive into Pi School: a free, open-source (Apache 2.0), self-paced 15-lesson course that teaches you how to use Pi by having the Pi terminal coding agent itself serve as the instructor — covering installation and setup, model boundaries, session branching, and the four-layer extension system of Skills/MCP/Code Mode/Extensions.

Matt Pocock shares that having shipped his AI Coding Crash Course for beginners/intermediates means the upcoming Cohort will be more advanced, including a new /grill-with-docs session covering DDD, scenario testing, and language refinement.

斯坦福大学2026年秋季新课CME 295《Transformers与大语言模型》开放选课，第二讲笔记发布，系统梳理模型家族、缩放定律、MoE、架构优化、解码策略与提示范式等LLM核心主题。

A tweet recommending a complete Stanford AI course video that teaches how to build and automate anything with AI, urging viewers to spend two hours watching it.

Stanford's CS224V "Agentic AI" course, led by Monica Lam's team, builds an anti-hallucination knowledge stack covering RAG, knowledge curation (STORM), formal methods, and meta-agents to turn unreliable LLMs into trustworthy, accountable agents. The first two lectures' slides are now publicly available.

Andrew Ng has released a comprehensive 2-hour course on Graph Engineering, covering the progression from single agents to full automation systems.

Stanford University's CS329Z course on Engineering AI Agents has started, with lecture slides now public, covering topics from models to autonomous systems and featuring instructors like Diyi Yang and Michael Ryan.

Stanford University announced a new deep learning course, CS312, with a unique grading system emphasizing quizzes and practical experiments over assignments.

The author is discussing which codebase design techniques from the pre-AI era are still useful for AI agents, as part of writing a course on codebase design.

CMU offers a new fall 2026 course on AI Agents taught by Daniel Fried and Graham Neubig, covering topics like tool calling, reinforcement learning training, and human-computer interaction.