Five tracks. One runway.

Bootcamps

Showing 4 bootcamps

• Artificial Intelligence — Foundation

  Foundation

  4 months, 5–8 hrs/week

  20 USDper month

  No programming background needed. You'll learn Python from the very first line, the everyday tools developers use, and how programs talk to each other over the internet, finishing with your first call to an AI model from your own code.

  • Python
  • Git
  • JSON
  • APIs

  1. Phase 1

     Python from zero

     Variables, loops, functions, lists and dictionaries.

  2. Phase 2

     Working like a developer

     The terminal, Git and GitHub, debugging, and your first tests.

  3. Phase 3

     Data and APIs

     JSON, files, and calling web APIs from your code.

  4. Phase 4

     Capstone

     A command-line assistant that gets its answers from an AI model.

  Apply now for Artificial Intelligence (Foundation)

• Artificial Intelligence — Core

  Core

  5 months, 5–8 hrs/week

  25 USDper month

  You can write basic Python. Now build real apps on AI models: prompts that work reliably, answers your code can use, a backend of your own, and a SQL database behind it, finishing with a chatbot other people can open and use.

  • LLM APIs
  • Prompting
  • FastAPI
  • SQL

  1. Phase 1

     Working with AI models

     Tokens, context and cost, prompting, and structured output.

  2. Phase 2

     Backends

     A FastAPI service with chat memory, streaming and error handling.

  3. Phase 3

     SQL & databases

     Tables, queries and joins, and saving users and chats in Postgres.

  4. Phase 4

     Capstone

     A deployed chatbot with a web page, a backend and a database.

  Apply now for Artificial Intelligence (Core)

• Artificial Intelligence — Intermediate

  Intermediate

  6 months, 5–8 hrs/week

  32 USDper month

  You can build a simple AI app. Now build the kind companies hire for: assistants that answer from a company's own documents with RAG, call functions and outside APIs, and are tested like real software so you know when they're wrong.

  • RAG
  • Vector databases
  • Tool calling
  • Evals

  1. Phase 1

     RAG

     Embeddings, chunking, vector search, and answers that cite their sources.

  2. Phase 2

     Tool calling

     Models that call your functions, query databases and use outside APIs.

  3. Phase 3

     Testing & evals

     Automated tests for your code, eval sets for answers, and code reviews.

  4. Phase 4

     Capstone

     An assistant over real documents, deployed, with tests for its answers.

  Apply now for Artificial Intelligence (Intermediate)

• Artificial Intelligence — Advanced

  Advanced

  8 months, 5–8 hrs/week

  40 USDper month

  You've built and tested a RAG app. Now build AI systems that hold up with real users: agents that finish multi-step tasks safely, the deployment, monitoring and cost control an AI engineer owns on the job, and the system design and coding practice interviews ask for.

  • Agents
  • Guardrails
  • Docker
  • System design

  1. Phase 1

     Agents

     Multi-step agents with tools and memory, and guardrails that keep them safe.

  2. Phase 2

     Production

     Docker, cloud deployment, logs and traces, and controlling cost and speed.

  3. Phase 3

     System design & interviews

     Designing AI systems, data structures, and coding problems.

  4. Phase 4

     Capstone

     A production AI agent with evals and monitoring, demoed live.

  Apply now for Artificial Intelligence (Advanced)