Ship full-stack AI apps
Build and deploy production AI features with Next.js and server-side API calls.
Go from total beginner to job-ready — learning Python, machine learning, prompts, RAG, AI agents, security, and deployment. Everything runs in your browser, on free tiers, with real projects you can ship.
No credit card. No installs. Start the first lesson in seconds.
80+ hrs
lessons & labs
10
bootcamp phases
8
hands-on labs
lesson workbench
Classify everyday AI systems
Python / browser-safe exercise
def classify_ai_system(description):
text = description.lower()
if "prompt" in text:
return "Generative AI"
if "predicts" in text:
return "Machine Learning"
print(classify_ai_system(example))Machine Learning: music recommendations
Test result: ready for review
Run Python with Pyodide — no installs, no Docker, no GPU.
Build real apps on Hugging Face, Vercel, and Pinecone for $0.
Mapped to PCEP/PCAP and Azure AI-900 & AI-102.
Guided lesson help, with human mentors when you're stuck.
What you'll be able to do
Every phase ends with something you can build, run, and show — not just notes you forget.
Build and deploy production AI features with Next.js and server-side API calls.
Design reliable prompts, structured outputs, and function/tool calling.
Use embeddings and vector databases so AI answers from trusted sources.
Wire up agents that plan, act with tools, remember, and self-check.
Defend against prompt injection and the OWASP Top 10 for LLMs.
Know the math and neural-network mechanics under the hood, not just the API.
How it works
Short, friendly lessons with diagrams and runnable Python — start instantly, from any device.
Write code, run it with server-side execution, and lock in concepts with interactive quizzes.
Build chat-with-your-PDF, a GPU-trained model, and AI agents in free Google Colab labs, then prepare for the AI job market.
The curriculum
A clear path through the whole field — about 80+ hours, fully self-paced.
The AI landscape, model types, ethics, and safety — before you write a line of production code.
Python from zero to certification-ready, taught entirely in the browser.
The math and data-handling skills behind beginner machine learning models.
Build tiny neural networks by hand — neurons, backprop, attention, and text generation.
Reliable prompts, structured outputs, tool calls, and production-ready API routes.
Embeddings, vector databases, and Retrieval-Augmented Generation (RAG).
Autonomous agents that plan, use tools, remember, and report their work.
AI hardware, infrastructure, and security — including the OWASP Top 10 for LLMs.
Capstone projects (rolling out): build and ship full-stack AI products on free hosting.
Personal branding, the AI job market, and acing the technical interview.
Certification-aligned
The phases are mapped to recognized certifications, so the work you do here doubles as exam prep.
Python Institute
Entry-level and associate Python certifications, covered as you learn to code.
Azure AI Fundamentals
Core AI concepts and responsible AI, mapped across the foundations.
Azure AI Engineer Associate
Applied AI solution workflows that mirror the real exam objectives.
Capstone projects
Beyond the lessons and labs, you'll build deployable, full-stack apps to demo in interviews. These guided capstones are in development and rolling out now.
A writing tool with AI rewrite, summarize, and tone controls.
A chatbot that answers from your own documents, with citations.
Upload a CSV and let an agent explore, chart, and explain it.
A tutor that listens, reads images, and talks back.
Create a free account and open the first lesson — the practical map of AI, ML, generative AI, and LLMs.