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Aisure Studio
Describe the app you want. Studio compiles it into a reviewable AppSpec, generates a complete project across six frameworks, validates it in a sandbox, and deploys it — locally or to AWS, GCP, or Azure.
One platform where you describe an idea and get a working, deployed GenAI application — then go deeper with hands-on labs for Python, data, and AI engineering. Everything runs live in your browser.
Runnable examples · No local setup · Progress tracked per user
Four tools that turn AI from something you read about into something you ship.
Describe the app you want. Studio compiles it into a reviewable AppSpec, generates a complete project across six frameworks, validates it in a sandbox, and deploys it — locally or to AWS, GCP, or Azure.
Learn what Agent Skills are, author your own SKILL.md with bundled scripts, lint it against best practices, then run it live in the Playground — with optional web search — and export a ready-to-use folder.
Open any repo and let an AI tutor explain the codebase, give a guided tour, answer questions, review a pull request, or draw the architecture and DevOps flow as diagrams.
Learn a GenAI framework properly: the concept, then real code you run against the installed library, then deploy the finished app through Studio. Seven frameworks, every lesson runnable offline with no API key.
There is a lot here. Choose a role and follow the order — each step is a lab on this site, and the path tells you what to skip.
Every learning path has an assessment behind it. Pass one and you get a certificate with a link anyone can verify — and, if you want it, a route to real job openings.
Multiple-choice questions plus coding tasks that are actually executed and scored against hidden test cases. Not a quiz you can guess your way through.
Results are reviewed before release. Yours comes with a public link, so an employer can confirm it is genuine in one click — no PDF anyone could fake.
Opt in, add a short profile, and your certificates are matched against openings that recruiters post here. Strong matches are sent to the recruiter for you.
The Studio pipeline, end to end — every stage reviewable, nothing hidden.
Write what the app should do. Pick RAG, chatbot, agent, or multi-agent — or let it infer.
Get a framework-agnostic AppSpec you can edit as a form or raw JSON before any code exists.
A complete project is generated, then booted in a sandbox with a real smoke test.
Ship locally or to AWS App Runner, Google Cloud Run, or Azure Container Apps.
Every concept is executable. Write code, hit run, see tables, charts, and output instantly.
22 libraries across the seven stages of a real analytics workflow, on sample datasets.
From variables and control flow to OOP, file I/O, regex, and the standard library.
Language internals, design patterns, concurrency, testing, and system design.
Embeddings, transformers, RAG, prompting, agents, evaluation, and LLMOps.
Interactive diagrams for RAG, agentic and multi-agent systems, event-driven design.
Curate articles and talks into your own searchable, categorized learning library.
Not our writing — a daily pull from the AI press, refreshed each morning. Every headline links straight to the publisher; we only ever show the headline and where it came from.
Create an account and go straight from an idea to a running GenAI app — no local setup, nothing to install.