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Free courses

Every free course is a full interactive experience. Code you run locally, tests you pass, and a system you ship by the end. Free does not mean samples or teasers. Most engineers move from free to Pro once they’ve finished a couple of them.

Curated by Param Harrison

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If you’re sampling the platform before enrolling in a program, start here. If you’re a self-learner who prefers to pace yourself, this is the whole catalog.

Showing 25 of 25 courses

{}defai()

Python for GenAI Engineering

Every AI tutorial assumes you know Python. This one doesn't.

BeginnerFree
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QKV

GenAI Masterclass: Go from Zero to One

6 hands-on projects. 6 core AI skills. Zero fluff.

NoobsFree
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Prompt Engineering Crash Course

The prompting techniques senior AI engineers use daily, and most tutorials skip.

NoobsFree
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LLM

RAG Fundamentals for Everyone

Master the core building blocks of RAG, from embeddings to agentic retrieval.

BeginnerFree
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AItoolsloop

Learn AI Agents from Scratch

Build AI agents with pure Python. No LangChain. No CrewAI. No magic.

BeginnerFree
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orchestrator

Advanced Design Patterns in AI Agents

Battle-tested agent patterns. The reference guide that didn't exist until now.

AdvancedFree
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clientMCPserver

MCP Fundamentals for Engineers

Build MCP servers and clients from scratch. No more glue code.

BeginnerFree
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Build your own AI assistant from scratch

Write your own AI assistant in Python, one short file at a time. From one API call to a multi-agent system that remembers you, runs commands safely, and keeps its own schedule.

IntermediatePro
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Build your own Redis in Python

Write your own Redis in Python, one short file at a time. Sockets, the wire language, the store, expiry, persistence, fan-out, and a backup machine. Every line is yours to read.

IntermediatePro
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Build your own Redis in Go

Write your own Redis in Go, one short main.go at a time. Sockets, the wire language, the store, expiry, persistence, fan-out, and a backup machine. Pure standard library.

IntermediatePro
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Build your own Redis in Node.js

Write your own Redis in Node.js, one short .mjs at a time. Sockets, the wire language, the store, expiry, persistence, fan-out, and a backup machine. Pure standard library.

IntermediatePro
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Build your own Redis in Rust

Write your own Redis in Rust on tokio, one short crate at a time. Sockets, the wire language, the store, expiry, persistence, fan-out, and a backup machine.

IntermediatePro
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Build your own Redis in Ruby

Write your own Redis in Ruby, one short server.rb at a time. Sockets, the wire language, the store, expiry, persistence, fan-out, and a backup machine. Pure standard library.

IntermediatePro
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Build your own Redis in Elixir

Write your own Redis in Elixir on the BEAM, one short server.exs at a time. Sockets, the wire language, the store, expiry, persistence, fan-out, and a backup machine.

IntermediatePro
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word_

Streaming LLM Applications with FastAPI

Stream LLM responses in real-time and master prompt engineering fundamentals.

BeginnerFree
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Building persistent AI assistants with Telegram

Build a Telegram AI assistant that remembers, uses tools, and runs its own background tasks.

IntermediateFree
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RAG systems with ChromaDB and cross-encoder reranking

Build a grounded RAG chatbot with ChromaDB, web scraping, and cross-encoder reranking.

IntermediateFree
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Search-augmented generation with web scraping

Search the web, extract article content with BeautifulSoup, and synthesize cited answers with LLMs, like building a mini Perplexity.

IntermediateFree
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Vectorless RAG with Hierarchical Document Trees

Skip the vector database. Navigate document trees with an LLM agent and get cited answers.

AdvancedFree
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Building RAG applications with Next.js and the Vercel AI SDK

Implement direct LLM chat, native tool RAG, and LangChain vector RAG in one Next.js app with the Vercel AI SDK.

IntermediateFree
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Concurrent programming with asyncio

Run slow Whisper and LLM calls concurrently, hand off background work, and tear down cleanly with FastAPI lifespans.

IntermediateFree
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Introduction to FastAPI

Build a production-shaped FastAPI service with typed endpoints, Pydantic models, and a lifespan that loads a model once.

BeginnerFree
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Deploying twelve-factor apps with FastAPI

Refactor a FastAPI service to the twelve-factor methodology and deploy it anywhere.

BeginnerFree
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runmodellatencycostp50 / p95

LLM observability with MLflow

Stop guessing what your agent did. Trace every step with the open-source observability tool ML teams already use.

IntermediatePro
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bronzesilvergold

Data engineering foundations with the medallion pattern

Bronze, silver, gold warehouse patterns with DuckDB and pandas, rehearsed on a real dataset before you touch Airflow or Spark.

BeginnerFree
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Common questions

Free: quick answers

  • Are the free courses really full courses?

    Yes. Every free course is the complete content, with all lessons, all exercises, all code. You don’t hit a paywall partway through. The distinction between free and paid is topic coverage, not course completeness.

  • Do I need to create an account?

    Yes, to track progress and save your work across devices. Signup is free and takes seconds. Once signed in, your course progress syncs automatically.

  • Can I complete a free course without Pro?

    Absolutely. Free courses stay free forever. Pro gives you access to the paid catalog on top. It’s not required to finish free courses.

  • Which free course should I start with?

    Depends on your goal. Python for GenAI if you’re new to Python. RAG Fundamentals if you’re building document-aware AI. FastAPI Fundamentals if you’re shipping services. AI Agents from Scratch if you want the agent loop demystified.

  • What do I get if I upgrade to Pro?

    Every paid course unlocked, workshop replays included, and new paid content as it ships. See the pricing page for details.

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AI EngineerBackend EngineerPythonRAGFastAPI
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