Curated playlists

Build and deploy real AI agents, not just prompt one: LangChain vs LangGraph, multi-agent systems with CrewAI, tool use via MCP, and RAG-powered retrieval, capped with your own deployed multi-agent research assistant.

For engineers who want to build an LLM, not just call one: write a GPT from scratch in code with Andrej Karpathy, pretrain your own GPT-2, then fine-tune (LoRA/RLHF) and ship a small LLM app end-to-end. Capped with senior-level system-design interview prep.

Take a model from a notebook to production: experiment tracking and a model registry with MLflow, real deployment, and LLMOps for running LLMs live, then ship a full pipeline from training to monitored production.

A free, structured path for learning to build real software with AI coding agents — Cursor, Claude Code, GitHub Copilot and autonomous agents — plus the judgment and security habits that separate shipped products from broken vibe-coded prototypes. Finish the path and pass the exam to earn a free Vibe Coding Certificate.

Ship four real Django apps: a blog with full CRUD, a user authentication system, a REST API with Django REST Framework, and a deployed e-commerce store, using Python's most popular batteries-included web framework.

Ship a real backend portfolio with Express and Node.js: a CRUD REST API, JWT authentication, a full-stack MERN app, and a deployed real-time chat app.

Ship four real Flask apps: a blog with full CRUD, a login system, a REST API, and a full e-commerce platform you deploy live, using Python's lightweight, flexible web framework.

Learn the backend language built for real concurrency at scale: write idiomatic Go and a REST API, master goroutines and channels, build real projects from a CRUD API to a Slack bot, then ship a full-stack movie streaming app with Go, React, MongoDB, and OpenAI.

Go from core Java and OOP to a full-stack portfolio: a console app, a Spring Boot REST API, and a Spring Boot + React application.

Learn MongoDB the way Node and Express developers actually use it: model documents, query and aggregate real data, then build and secure a REST API backed by MongoDB Atlas.

Ship a real backend portfolio with Node.js: a REST API, JWT authentication, a real-time app with Socket.IO, a full-stack CRUD app with a database, and a live deployment.

Turn the bare Java you already know into a hireable backend skillset: build REST APIs with Spring Boot 3, model real databases with Spring Data JPA, secure a shopping cart backend with Spring Security and JWT, then ship a full-stack Spring Boot, MongoDB, and React movie app.

Go from your first commit to a real open-source contribution: Git and GitHub fundamentals, branches and issues, then actually open a pull request on a real project.

Write and deploy real Solidity smart contracts: your first contract, a dApp frontend connected to MetaMask, your own ERC-20 token, and a full-stack NFT marketplace capstone.

Stand up a real Hyperledger Fabric network, write your own chaincode, and ship a full-stack permissioned application on top of it: enterprise blockchain, hands-on.

Build real things with ChatGPT, not just chat with it: an app on the OpenAI API, your own Custom GPT, and an automated chatbot.

Get AWS-certification-ready and ship two real projects: a full-stack app on EC2/RDS/S3, and a serverless app, covering core services, security, DevOps pipelines, and ML on AWS along the way.

Learn the real DevOps toolchain: Docker, Kubernetes, Terraform, GitHub Actions, Ansible, Prometheus, then ship one project that containerizes an app and deploys it through a CI/CD pipeline onto Kubernetes.

Stop clicking through the AWS console and start provisioning it in code: write your first Terraform resources, deploy a real AWS dev environment, then organize a modular, multi-environment infrastructure you can plan, apply, and destroy on demand.

A compact on-ramp to data science: just enough Python, pandas, and statistics to analyze a real public dataset and produce your first mini data report.

Build the modern data stack end to end: PySpark for batch processing, Airflow for orchestration, Kafka for streaming, dbt for transformations, then ship a real data pipeline from ingestion to analytics.

Learn the exact Excel skills employers screen for: formulas, PivotTables, Power Query, and VBA automation, by building a personal budget tracker, a sales dashboard, and an interactive KPI dashboard you can put straight into a portfolio.

Build real, interactive dashboards in Power BI: connect and clean data with Power Query, model it with DAX, then ship a published report with scheduled refresh, the exact skill set business and data analyst job postings ask for.

Learn core Python (not data science): syntax, functions, OOP, then build real, general-purpose projects: a CLI tool, a web scraper, an automation script, a Flask app, and a simple game.

Learn R for real statistical analysis: dplyr, the tidyverse, ggplot2, then ship a deployed R Shiny dashboard and real analysis projects on real datasets.

Go from your first SELECT to real analytics: joins, subqueries, window functions, designing your own schema, and a full analytics project on a real public dataset.

Run real marketing work, not just watch it: an SEO audit, a content calendar and social campaign, and a live Google Analytics report, across SEO, social, email, content, PPC, and affiliate marketing.

Build and ship real Angular apps: a PWA, a to-do app, a live-API weather app, then level up by cloning Twitter, Amazon, and WhatsApp before a full-stack capstone.

Add real type safety to the JavaScript you already know: build a pizza ordering app, a typed Express API, and a React to-do app with drag-and-drop, then ship a full-stack MERN app with TypeScript, authentication, and deployment.

Build a real ladder of Vue.js apps: a quiz app, a Pinia-powered task manager, a full CRUD app calling a live API, ending in a deployed capstone project.

For developers who already know React: go deep on performance, advanced patterns (compound components, custom hooks), and state architecture at scale, then master testing with Jest, RTL, and Cypress, capped with a fully tested component library.

Build the LAMP stack (Linux, Apache, MySQL, PHP) from scratch, then ship real PHP + MySQL projects: a CRUD task manager, a login system, a blog/CMS, and a full e-commerce store you deploy live.

Build the MEAN stack (MongoDB, Express, Angular, Node) layer by layer, then ship real full-stack apps: a task manager, a full MEAN web app, and an e-commerce storefront, ending in a deployed capstone.

Build the MERN stack (MongoDB, Express, React, Node) layer by layer, then ship real full-stack apps: a task manager, a blog, a social app, and an e-commerce store, ending in a deployed capstone.

Learn Next.js from routing and rendering through styling, then ship real projects: a CMS-backed blog, a full-stack app with a database, and a capstone built on Server Actions and API routes.

A fun, hands-on path for kids: find out what coding actually is, then build real projects step by step: two Scratch games, a screen-free challenge, and a taste of real Python for older kids.

Ship real Android and iOS apps from one codebase: build a to-do app, a weather app, an Instagram clone, a WhatsApp clone, and a full-stack Amazon clone in Flutter, then publish to Google Play and the App Store.

Go native on Android: learn Kotlin the language, then build a quiz app, a memory game you publish to Google Play, and a full MVVM app with Room, Firebase, and coroutines.

Take the React skills you already have to iOS and Android: build a weather app on a real API, a TMDB-powered movie app, a full-stack e-commerce app with Supabase and Stripe, then ship and monetize a real app on the App Store.

Get real, hands-on cybersecurity skills: set up your own hacking lab, walk a Capture-The-Flag challenge, practice penetration testing, and run a real OWASP Top 10 security audit.

A project-driven path through data science with Python: build a real pandas/NumPy/visualization toolkit, then climb a ladder of increasingly advanced real-world projects through a capstone and a job-ready portfolio.

The flagship, beginner path into React: learn components, hooks, and state management from scratch, level up into Redux and Next.js, then ship a real deployable capstone: a movie discovery app.