A hands-on course series covering the full AI-SDLC — from data pipelines to APIs to frontends. Every phase uses AI tools: planning, design, implementation, testing, deployment, and governance.
Each course builds a real component of the UCC Lien Risk platform. Organized into six tracks — from domain foundations through data engineering, APIs, frontends, AI tools, and autonomous agents. Every course uses real AI tools at every SDLC phase.
Master the domain and prompting skills first — they make every other course 3× faster. No cloud accounts or code experience needed to begin.
Build every layer of the UCC Lien Risk platform — data pipelines, REST APIs, React and Angular frontends. Each course has a GCP cloud and Local (Docker/DuckDB) edition.
The tools that turn a good developer into a 10x developer. Use AI for code review, spec-driven planning, project management, and building custom integrations via MCP.
/opsx:apply, integrate spec coverage into CI. Works with 30+ agents.Every course above has a Java Spring Boot edition — identical frameworks and concepts, but every code example, prompt, and lab uses Java 21, Spring Boot 3, Maven, and JUnit. Pick these if your team writes Java.
/opsx:apply, integrate spec coverage into Maven builds, and govern multi-repo Java architectures.Every course is anchored in a real-world use case: processing US Business UCC Filings to surface secured-transaction lien risk for commercial credit decisions. Here's the domain you'll master.
The Uniform Commercial Code Article 9 governs secured transactions in the US. When a lender takes collateral, they file a UCC-1 Financing Statement with the secretary of state — creating a public lien record that signals credit risk to other creditors.
Our platform ingests filings across 5 states, standardizes debtor names, links entities, and computes a composite Lien Risk Score (0–100) used in commercial underwriting.
A financing statement is seriously misleading if it fails the “standard search logic” test. Our pipeline must surface filings even when debtor names are misspelled, abbreviated, or use trade names — a core NLP challenge driving the entire data engineering course.
Every developer has a different starting point. Select your role to see the ideal course sequence — then level up across the entire AI-SDLC stack.