course

CMU Advanced NLP course by Wellecks now has all 23 lectures on YouTube with public slides and 20 code examples, covering LLM fundamentals and recent research.

A curated collection of resources on harness engineering for AI coding agents, including a course, a Python tool (tau-ai), and blog posts from Anthropic and LangChain.

Part 1 of a 5-part short course on efficient LLM inference taught at Columbia University. Covers hardware bottlenecks, GPU memory bandwidth limits, and techniques like model compression and KV cache optimization to reduce inference cost.

Carnegie Mellon University is offering a new fall course on AI Agents, covering scaffolding, evals, and training agentic LLMs using reinforcement learning, balancing theory and practice.

Sharing the advanced course Advanced LLM Agents from UC Berkeley, focusing on the latest advancements in large language model agents, taught by Professor Dawn Song with guest lecturers from Google, Meta, etc., covering reasoning, planning, code generation, and more.

An open-source course repository from Decoding AI that teaches builders how to create a personal knowledge-base assistant using LLMs, agents, RAG, and LLMOps through six modules covering data pipelines to deployment.

A structured Stanford course on LLMs and generative AI is being shared, covering transformer and LLM concepts without treating them as black boxes.

Stanford has released a free course on Parallel Programming, GPU, and CUDA, consisting of 24 hours of content across 19 lessons, covering GPU architecture, CUDA, and performance optimization.

A recommended course and community for beginners interested in AI agents, likely covering fundamentals and practical skills.

Stanford's CS336 course on language modeling from scratch is announced, featuring intensive hands-on assignments covering tokenizers, transformers, data, and alignment.

Recommends the Stanford open course CS336: Language Modeling from Scratch, which systematically explains the full training pipeline of language models from scratch, suitable for those preparing for AI interviews or wanting to deeply learn LLM.

Recommend computer science students to study the Stanford CS336 course (Language Modeling from Scratch) to improve LLM understanding and English ability.

Modular announces a free 4-week Mojo course taught by the Mojo team, covering language fundamentals to GPU programming, starting July 9th on YouTube.

Andrew Ng announces a new course on adding voice to AI agents using VocalBridge, taught by its CEO. The course covers three integration patterns and evaluation techniques for building reliable and low-latency voice applications.

Promoting a complete Claude AI hands-on course, urging users to spend 1 hour learning how to build from scratch and automate tasks, gaining a new hard skill.

This article recommends an open-source full-stack AI engineering course called 'ai-engineering-from-scratch', containing 503 lessons covering from mathematical foundations to production deployment, with 33.6k stars.

Mastra released a course for beginners to build an AI agent with TypeScript, covering project structure, tools, MCP, memory, and deployment.

A 22-chapter skeleton course on building production AI agents, using an innovative approach where the AI partner fills in details. The course covers tool calling, agent loops, memory, multi-agent collaboration, and more.

Free 5-day AI Agents course on Kaggle using Gemini, covering topics from introduction to deployment.

ETH Zurich has open-sourced their entire 2026 robot learning course, including slides, lecture recordings, coding assignments, and a GitHub repository, covering topics from imitation learning to foundation models for robotics, with guest lectures from industry leaders.