SOFTWARE ENGINEERING · 2 WEEKS · 13 LESSONS
Deterministic MCP Agents: Property-Based Testing & Quality Assurance
Master deterministic testing and quality assurance for AI agents using PMAT methodology. Build production-ready MCP agents with comprehensive testing strategies.
Build reliable, predictable AI agents using PMAT (Property-based Model Agnostic Testing) methodology. Learn deterministic testing strategies, quality metrics, and automated testing frameworks for Model Context Protocol (MCP) agents. Includes hands-on labs with property testing, fuzz testing, and real-world implementation examples.
01 — What learners say
Real feedback from real learners.
“The Rust Fundamentals course was fantastic for formalizing my base Rust knowledge. It was well-paced for both beginner and experienced developers.”
“The course was incredibly informative and well-structured. I gained practical skills that immediately applied in my work, making it a highly valuable learning experience.”
“The course on AI Fundamentals is not only engaging but also practical. Having worked with AWS before, the way it explained Azure cncepts made switching seamless and easy to grasp.”
“I can say that it's a great series of courses for those who are looking to practical MLOps knowledge.”
“This course got clear videos, exercises, and questions, and there are extra resources too. When you're done, you'll have a solid foundation to dive into topics like DevOps or ML.”
02 — Why this course
What you'll walk away with.
Build reliable, predictable AI agents using PMAT (Property-based Model Agnostic Testing) methodology. Learn deterministic testing strategies, quality metrics, and automated testing frameworks for Model Context Protocol (MCP) agents. Includes hands-on labs with property testing, fuzz testing, and real-world implementation examples.
Master PMAT (Property-based Model Agnostic Testing) methodology for building reliable AI systems
Implement property-based and fuzz testing strategies for AI agents
Build production-ready deterministic MCP agents with comprehensive quality assurance
Apply Toyota Production System principles to create predictable, measurable AI agents
03 — Syllabus
2 weeks, 13 lessons total.
- Course intro
- Intro PMAT
- Toyota way PMAT
- Certainty scope Tradeoff
- Fsm quality Metrics
- Mcp protocol architecture
- Six essential test types
- Property testing with Agentic AI
- Fuzz testing with Agentic AI
- Using Claude with PMAT
- Project examples Walkthrough
04 — For teams
Custom training for your company.
We're ready to deliver this and other courses to your team. We accommodate different requirements and are flexible with seat count.
- +Bulk pricing available
- +Customizable content
- +Ready to start on your schedule
05 — Individual access
Simple, straightforward pricing.
Full platform access — every current and future course — priced so cost isn't what decides whether you learn.
No commitment required. Cancel anytime.