IDX Exchange runs nine hands-on training tracks — from your first SQL query to a production AWS deployment. Every track works from real real-estate data and ends in a deliverable you can show, not a certificate of attendance.
The most approachable track in the catalog. Learn Power BI Desktop and Service end to end, write your first DAX measures, and turn a real housing dataset into a "Best City to Buy" report — graded against a full 100-point rubric.
Import, clean, and analyze six months of real sold-listing data in SAS OnDemand. Build market statistics across five geographic levels, merge in mortgage-rate history, and construct your own weighted agent-performance metric from scratch.
Query real MLS listings, open-house schedules, and sold transactions across three linked tables — building from schema exploration through joins, CTEs, and window functions. Ship a public GitHub portfolio with real findings and resume-ready bullet points.
Learn the discipline behind good machine learning, not just the syntax: a five-question feature-safety framework, leakage detection, cross-validation, and a clean progression from linear regression to XGBoost — evaluated on data your model has never seen.
Build a Zillow-style property search app from the ground up — Docker, MySQL, a REST API, and a full React frontend with maps and photo galleries. Optimize real slow queries, hit 70%+ test coverage, and deploy to a live public URL.
Build a semantic search engine over real listing text, benchmarked head-to-head against keyword search. Add entity recognition, intent classification, and a Fair Housing compliance checker, then deploy it all behind a rate-limited REST API.
Two full curricula in one track — a 25-worksheet Market Analysis build and a 30-worksheet Competitive Analysis suite. Learn Level of Detail expressions, advanced table calculations, and a weighted Agent Efficiency Score, then reverse-engineer IDX Exchange's actual production reporting files against a live data pipeline of 700,000+ rows.
The newest track in the catalog. Design a multi-agent system on the OpenClaw framework — natural language search, conversational memory, embeddings, and a from-scratch RAG pipeline — reachable over real WhatsApp and email channels, with production-grade safety guardrails throughout.
You're not building an app from scratch — you're handed a small working one, PropertyLite, complete in Week 0, and spend 12 weeks doing what a junior cloud engineer actually does: deploying it, securing it, scaling it, containerizing it, automating its releases, and monitoring it, right up to a Well-Architected capstone. Every lab gives exact console click-paths and CLI commands, a "you'll know it worked when" check, and a common-mistakes list, so you can self-diagnose instead of getting stuck.
Enrollment is reviewed on a rolling basis. Pick the track that fits you best, or tell us you're open to more than one.
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