SuperML is a learning-first platform backed by four open source products — SuperML Java, Smart SDLC, DataTruth, and NL-2-SQL Agents. Free tutorials, structured courses, and production-ready tools.
Always free to use with attribution.
Structured Learning
Learning first, backed by products
Structured learning paths powered by tools you can actually use in production — all open source, all free with attribution.
A complete Java machine learning framework with 30+ algorithms. Train models, build pipelines, and ship ML to production — pure Java, no Python required.
Your AI assistant as a full SDLC expert. 30+ skills and 6 AI personas for GitHub Copilot, Claude, and Cursor — from requirements to deployment.
AI-native analytics. Query your database in plain English, get auto-generated charts and dashboards, and enforce data quality — no SQL needed.
Multi-agent AI that converts natural language questions to accurate SQL queries with schema discovery, refinement, and full explainability.
Structured Learning
Comprehensive learning paths to master machine learning and AI
A complete career-grade course for aspiring Forward Deploy Engineers (FDE). Learn the embedded-engineer model, discovery and domain capture, on-site data plumbing, operational app building, deployment, and the soft skills that separate good FDEs from great ones.
20 lessons
Master the ontology — the semantic layer that turns raw data into a connected, operational model of your business. Learn object types, link types, actions, functions, and how to build a complete production-ready ontology.
18 lessons
Everything you need to pass the Anthropic Claude Certified Architect exam. Covers all 5 domains: model selection, prompt engineering, context & memory, tool use & agents, and safety & deployment.
18 lessons
Step 1: Learn
Access beginner to advanced tutorials to master ML and AI fundamentals and practical applications.
Step 2: Build
Experiment and build projects using our free Java framework and educational resources.
Step 3: Connect
Join our GitHub Discussions to ask questions, share projects, and collaborate with the community.
Step 4: Deploy
Take your projects live with our resources, community support, and best practices.
Open Source Products
Four open source products to accelerate how you learn, build, and ship ML and software projects.
A complete, free Java machine learning framework for enterprise developers. Train models, make predictions, and build ML pipelines with intuitive Java APIs.
A skills framework that gives GitHub Copilot, Claude, Cursor, and any AI assistant structured expertise across the full software development lifecycle — no runtime required.
npx command to get startedAI-native analytics platform that lets anyone query databases in plain English, visualize insights instantly, and enforce data quality — no SQL knowledge required.
Multi-agent AI system that translates plain-English questions into accurate SQL queries — with schema discovery, autonomous refinement, and full explainability.
Every product is MIT licensed and free to use with attribution. Start learning with tutorials, explore the products, and star us on GitHub.