7 AI Courses tools (all free)
7 AI Courses resources, picked out of 3 saved Instagram reels, from creators like @mavenhq, @itsellagonzales. 7 of them are free, freemium or open source.
Anthropic Academy is an educational platform offering structured training courses directly from the creators of Claude. It provides tutorials and guided tracks covering Claude basics, developer tools like Claude Code, and concepts such as the Model Context Protocol. It is designed to help users and engineers build practical AI literacy and workflow habits.
Building Enterprise RAG Solutions is a recorded Maven Lightning Lesson taught by Hamza Farooq (Founder of Traversaal.ai and adjunct professor at Stanford and UCLA). It covers the transition from basic RAG prototypes to enterprise-ready deployments, focusing on query rewriting, document caching, access control, and latency management. It serves as a concise primer for engineers designing production retrieval systems or preparing for AI system design interviews.
A detailed 2-hour-and-50-minute workshop hosted on Maven covering the design, evaluation, and deployment of agentic AI architectures. Taught by industry practitioners Aishwarya Reganti (ex-AWS) and Kiriti Badam (OpenAI), it focuses on production-level considerations for enterprise AI.
This is a free 30-minute recorded video lesson on Maven led by Harrison Chase (LangChain) and Hamel Husain. It focuses on practical frameworks and tooling for evaluating autonomous and semi-autonomous AI agents. The session covers defining metrics, evaluating trajectories, and using tools like LangSmith and OpenEvalz to measure and improve agent reliability.
This is a recorded 45-minute Maven Lightning Lesson taught by Mahesh Yadav, an industry veteran with experience at Meta, Microsoft, and AWS AI. It introduces the transition from static generative models to autonomous decision-making agents. The session covers core agent architecture, evaluation, and monitoring practices.
This free 45-minute Maven Lightning Lesson explains why traditional IR benchmarks like BEIR fail to reflect real-world RAG demands. Led by Nandan Thakur, Hamel Husain, and Shreya Shankar, the session introduces FreshStack, an evaluation benchmark built from recent StackOverflow and GitHub content.
This is a recorded Maven Lightning Lesson taught by Dan Becker and Hamel Husain. It breaks down the tradeoffs between Retrieval-Augmented Generation (RAG) and model fine-tuning, explaining when to apply each and how to combine them for factual consistency and specific styles. It is designed to help developers and machine learning engineers choose the right approach for AI tasks without wasted effort.