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Anthropic has made all 22 of its Claude Academy courses free, covering everything from Claude 101 and Claude Code to MCP and AI literacy. The post organizes the courses into a recommended learning path from beginner to advanced, along with honest notes on which ones are actually worth the time.
A comprehensive resource kit for Cloud and DevOps engineers, featuring a skills matrix, roadmap, free courses, certifications, and more, aimed at helping beginners become job-ready by 2026.
A curated list of 10 free online courses for content creation, covering topics such as content marketing, blogging, and monetization, offered by platforms like HubSpot and Alison.
Nebius has launched an AI Builder Program offering free courses to build AI agents, certifications starting at $1, and over $400 in credits, in collaboration with NVIDIA and other ecosystem partners.
The post offers over $4,660 worth of paid robotics courses for free, including 121 verified links and 27 pet projects, designed to make learners hireable in six months with daily study.
Stanford University has made the CS329A lectures on Self-Improving AI Agents available for free on YouTube, covering topics like AI agents, Constitutional AI, and multi-step reasoning.
Anthropic has released 13 free AI courses with certificates, covering topics from introduction to advanced skills like API usage and model context protocol, aimed at practical AI education.
A tweet shares a Google Doc listing 25 completely free AI courses for 2026, bookmarking it as a useful resource for self-learners.
This article lists five free online courses that guide learners from AI beginner to practitioner, covering topics from AI fundamentals to building neural networks from scratch, including Harvard's CS50, Google's ML crash course, fast.ai, Hugging Face NLP, and Andrej Karpathy's neural networks course.
A Twitter thread curating free electronics courses from top universities like MIT, Stanford, and Georgia Tech, covering circuits, digital design, embedded systems, and more.
A GitHub repository providing a comprehensive, modular roadmap with free resources for learning AI, ML, deep learning, and related fields from scratch, including math foundations, data science, and generative AI.
A Twitter post compiles free robotics course links from top universities including MIT, Stanford, and Carnegie Mellon, providing a curated list for learners.
A Twitter thread presents a free AI engineering learning path using resources from Harvard, Andrew Ng, Andrej Karpathy, and others, emphasizing fundamentals over frameworks.
A tweet listing free AI learning resources from top companies including Anthropic, Google, Meta, NVIDIA, Microsoft, OpenAI, IBM, AWS, DeepLearning.AI, and Hugging Face, with direct links to their courses.
A curated list of free Stanford AI and ML courses including CS336 (LLMs from Scratch), CS229 (Machine Learning), CS230 (Deep Learning), and others, shared with links to access them.
A user shares how they used MIT's free AI education materials and fed them into Claude to create a rebuilt research system.