Vibe coding is great for getting code written, but at production scale, it breaks because nobody is managing the engineering control system around agent-authored code. This course stood out because it teaches you exactly that: how to build the controls that prevent incidents and ensure auditability.
This Course Offers
- A complete framework for secure agentic development: You will learn to write agent-executable specs with machine-checkable acceptance criteria and build a seven-check CI gate.
- Practical skills in permission design and review: You will learn to design least-agency permission tiers, sandboxes, and default-deny network egress, and use a checklist tuned to real agent failure classes.
- The ability to detect and prevent reward hacking: You will learn to detect special-casing, fixture reads, weakened assertions, and mocked-away logic.
- Knowledge to meet compliance standards: You will map your controls to NIST SSDF, ISO/IEC 42001, SOC 2 CC8.1, and PCI DSS Requirement 6.
Why We Love This Course
- It addresses a critical gap in AI-driven development. The course focuses on the control systems that make agentic development safe and audit-ready. You can tell it is designed for engineers who are accountable for both velocity and incidents.
- It is grounded in real evidence and a real incident. The course is built around a real fintech incident, making the lessons concrete and practical. This case-study approach ensures you learn from actual failures.
- It provides hands-on labs and practical exercises. The course includes eight labs and six assignments using open-source tooling, so you can build and test the controls yourself.
- It is taught by an experienced professional. The instructor has deep expertise in security and compliance, bringing practical, real-world knowledge to the course.
Secure agentic development is the next frontier in software engineering. This course provides a comprehensive, practical path to mastering it, and it is backed by a money-back guarantee if it does not meet your expectations.