Education
Research papers, repositories, and articles about education
Showing 10 of 10 items
ZJU-LLMs/Foundations-of-LLMs
An open book and course materials on the foundations of large language models, covering theory, architectures, training, and deployment. With >14k stars, it’s quickly becoming a go‑to learning resource for people trying to move from ‘user’ to ‘builder’ of LLMs. If you want a structured, code-linked path into the guts of modern LMs, this is a strong candidate.
rohitg00/ai-engineering-from-scratch
Opinionated curriculum and code for going from zero to shipping AI products. Covers data, evaluation, serving, and real-world tradeoffs, not just models. If you’re training new hires or upskilling yourself, this is a solid backbone syllabus.
Marktechpost/AI-Agents-Projects-Tutorials
Curated collection of multi-agent examples, patterns, and tutorials. Focuses on memory, planning, and reasoning loops. If you’re learning agent engineering, this repo is a practical survey course. ([github.com](https://github.com/trending/jupyter-notebook?since=daily))
langchain-ai/rag-from-scratch
Step-by-step notebooks for building retrieval-augmented generation systems without heavy frameworks. Walks through indexing, retrieval, and response patterns. If your team keeps misusing generic RAG libraries, force everyone to work through this once. ([github.com](https://github.com/trending/jupyter-notebook?since=daily))
hello-agents
A Chinese-language tutorial project titled "从零开始构建智能体" (Building Agents from Scratch), walking through agent principles and practical implementations. Good onboarding material if you want to upskill teammates on modern agentic patterns. ([github.com](https://github.com/trending?since=daily))
ed-donner/agents
Course repo focused on agent-style systems: planning loops, tools, memory, and evaluation. Uses notebooks to walk from toy examples to more realistic workflows. If you’re new to agents, this pairs well with the theory-heavy surveys above. ([github.com](https://github.com/trending/jupyter-notebook?since=daily))
ed-donner/llm_engineering
Companion repo for a course on building with large language models. Covers prompts, customization, retrieval, and deployment in runnable notebooks. If you onboard new engineers into AI, this is a solid starting curriculum. ([github.com](https://github.com/trending/jupyter-notebook?since=daily))
Introducing Microsoft innovations and programs to support AI-powered teaching and learning
Microsoft announces new tools and guidance for using AI safely in schools, plus security and AI playbooks for education leaders. If you run an institution, this is a concrete starting kit.
cloudcommunity/Free-Certifications
A massive list of free tech and cloud courses with certifications. It’s trending as many developers reskill for AI-heavy roles without big training budgets. ([github.com](https://github.com/trending))
MSLE Newsletter – April 2026
Microsoft’s educator newsletter foregrounds new AI-900 lab simulations and teaching tools. Useful for anyone shaping entry-level AI curricula or training programs.