The subscription is organized around three core tracks, each pulling from real, current work:
MLOps & LLMOps — CI/CD for machine learning and LLM workloads, model registries, drift detection, and automated retraining that actually works in production.
Agentic AI Security & Governance — multi-agent orchestration, prompt-injection defense, and adversarial testing using real tools like Microsoft’s PyRIT framework.
AI Governance & Compliance — building the risk assessments and audit trails that hold up under real regulatory scrutiny, including federal and government-specific compliance requirements.
New modules are added monthly as the field evolves — subscribers always have access to the current curriculum, not a static archive.
