Rebuild YouTube with AI

AI Engineering Lab is a free, self-paced 24-week AI engineering course developed by Zorost Intelligence AI Lab. It takes learners from Python and machine learning through deep learning, LLM internals, prompt and context engineering, retrieval-augmented generation with vector search, quantization, LoRA and DPO fine-tuning, evaluation harnesses, coding-agent harnesses, AI agents, MCP, and cloud and Databricks platforms including Azure AI Foundry, Google Vertex AI, AWS Bedrock, and Databricks. The curriculum uses one continuous fictional freight-company case study. Each week pairs a concept with a runnable Python, SQL, or PySpark artifact; from Week 3 onward, the work includes a metric and an error note. The repository contains 43 runnable notebooks, publishes the full curriculum online, requires no signup or paid API key, and states that the first eight weeks require no GPU. It is MIT licensed.

The Launchpad Build Cohort is an eight-week, application-based AI engineering program led by Marina Wyss. Participants choose, scope, build, and deploy an AI system rather than receiving a fixed project specification; it is intended for people who can already write basic Python programs, use Git and GitHub, and understand concepts such as RAG, agents, and MCP. The program uses weekly deliverables, a small-group format, live calls, Slack support, and weekly code review. Weeks 1–2 cover project selection and a scoping document; weeks 3–6 focus on building and iterative review; and weeks 7–8 cover deployment, polishing, and a demo. Participants finish with a deployed system, a rehearsed demonstration, a README, and an interview-preparation document based on their project decisions. The cohort is designed for roughly 10 hours of work per week and includes the use of AI coding tools without outsourcing the participant’s technical decisions. The page states that the October 2026 cohort is full and offers a waitlist for the next cohort.

AI Engineering from Scratch is a free, open-source curriculum developed by rohitg00 for learning to build and ship AI systems end to end. Its 20-phase sequence covers development tooling, mathematical and machine-learning foundations, deep learning, NLP, computer vision, generative AI, LLM applications, agent engineering, Model Context Protocol (MCP), agent skills, reinforcement learning, and related topics, with implementations in Python, TypeScript, Rust, and Julia. The repository describes 511 lessons and approximately 329 hours of material; each lesson produces a reusable artifact such as a prompt, skill, agent, or MCP server. Learners are instructed to read the lesson documentation, type and run the code from the repository root, record command evidence and outputs, and make a small change before continuing. It provides routes for complete foundations, mathematics and machine learning, production LLM applications, agent engineering, MCP, agent skills, and Claude certification preparation. The repository is distributed under the MIT license and is accompanied by a website containing the same lesson content.

A private, subscription-based online community hosted on Skool by Jay E for learning how to build and sell AI systems. Its curriculum includes an Agentic AI Masterclass covering Claude Code, Hermes, and the broader AI-agent stack, plus an Agents as a Service course on finding clients and scaling an AI agency. Membership also includes AI lessons and guides, automation templates, access to the Rubric agentic operating system, and a network of AI practitioners.

A downloadable web-development project bundle from GreatStack for building a full-stack AI website builder with MongoDB, Express.js, React.js, and Node.js. The project includes starter assets and source files for a React website generator that accepts text prompts, builds websites step by step, exposes generation progress, and supports manual source-code editing, follow-up AI prompts, exporting, and publishing. Its tutorial project includes user authentication, REST APIs, an OpenRouter model integration, and an agent chat API for updating generated projects.