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GitHub open-source course Learn Harness Engineering teaches you to build a controllable workflow framework for AI coding assistants (e.g., Claude Code, Codex). It includes 12 theory lessons and 6 hands-on projects, covering core mechanisms: instruction, state, validation, scope, and session.
Introduces an open-source course called 'AI Engineering from Scratch', containing 503 lessons, covering from linear algebra to autonomous swarms, with special emphasis on Agent Engineering and Multi-Agent phases.
A curated guide to studying deep learning with PyTorch via a full YouTube live course series, covering topics from tensors to GANs, organized into six parts.
Stanford is offering a comprehensive course, CS336, where students build a language model from scratch, covering data collection, transformer construction, training, and evaluation.
Anthropic's official Prompting 101 course systematically explains how to build practical prompts from scratch, covering core techniques such as tone context, XML structure, few-shot examples, output formatting, and prefilling.
LangChain Academy announces a new course on deploying LangSmith, covering scaling from a single-user desktop Deep Agent to a multi-tenant managed infrastructure.
Stanford's CS336 course 'Large Language Models from Scratch' (2026) is now fully available on YouTube, with additions beyond the 2025 playlist, offering an in-depth understanding of LLMs beyond APIs.
Hugging Face offers a deep reinforcement learning course with practical exercises, now in low-maintenance state but still a useful resource for learning theory and hands-on DRL.
A structured reinforcement learning course with lecture notes, tutorial tasks, and videos, shared as open-source materials from Paderborn University and University of Siegen.
DeepLearningAI released a free course on building Generative UI similar to Anthropic's Claude Artifacts, leveraging the open-source CopilotKit framework.
Introducing hello-agents, an open-source project that topped GitHub trending. It systematically organizes courses on AI and Agents from theory to practice, covering skills like Agentic RL, SFT, GRPO. Created by former Vercel engineer Mat, it distills engineering experience into 16 skills, such as Grim prompting techniques and red-green cycle testing methods.
Matt Pocock announces version 2 of his AI Coding Cohort, a two-week course teaching engineers how to effectively use coding agents like Claude Code on real projects, starting June 1st.
Learn Harness Engineering is a free course teaching the engineering of AI coding agents, covering environment design, state management, and verification to make agents like Codex and Claude Code more reliable.
A free, open-source 8-week hands-on LLM engineering course by Ed Donner, featuring weekly projects and covering topics like Ollama, Llama 3.2, and AI coding tools.
Tweet promoting the reading list for Stanford's CS153 Frontier Systems course, which features talks from industry leaders and a project on scaling one's capabilities.
A 4-hour course on using Claude Code to build products, automate workflows, and generate income from AI projects, created by Michele Torti.
A user recommends a course as one of the best for learning about LLMs, based on watching a few lectures.
Kaggle and Google are hosting a free 5-day intensive course (June 15-19) on building AI agents, culminating in a simulated challenge called Kaggriculture.
Stanford NLP promotes the CS336 course as a path to learning the tricks of successfully training state-of-the-art language models.
A full course on building an Obsidian vault to automate business operations, allowing business owners to focus on irreplaceable work.