SOFTWARE-ENGINEERING · 3 WEEKS · 18 LESSONS
AI-Powered Software Development & Code Quality
Master AI-assisted development, code quality metrics, and technical debt management with advanced frameworks and analysis techniques.
Master the intersection of artificial intelligence and software engineering through advanced code quality metrics, agentic coding systems, and technical debt management. Explore determinism in AI-assisted development, complexity analysis, and performance frameworks including Amdahl's Law, Jevons Paradox, and ELO rating systems for evaluating coding agents. Apply provability scoring and entropy analysis to real-world development scenarios.
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.
Master the intersection of artificial intelligence and software engineering through advanced code quality metrics, agentic coding systems, and technical debt management. Explore determinism in AI-assisted development, complexity analysis, and performance frameworks including Amdahl's Law, Jevons Paradox, and ELO rating systems for evaluating coding agents. Apply provability scoring and entropy analysis to real-world development scenarios.
Analyze code quality using complexity, entropy, and churn metrics
Implement provability scoring systems for code evaluation
Apply Amdahl's Law to optimize coding agent performance
Evaluate AI coding tools using ELO rating frameworks
03 — Syllabus
3 weeks, 18 lessons total.
- Course introduction
- Warming strategies
- Amdahls law coding agents
- Jevons Paradox
- Hal framework princeton
- Elo rating system
- Illusion of control agents
- Increasing Determinism with deep context
- Understanding AST Agentic coding
- Understanding complexity
- Understanding Entropy
- Understanding code Churn
- Demo PMAT and next steps
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.