Master Advanced AI Implementation

Yes, AI Advanced builds directly on concepts from our AI Foundations course. You need solid understanding of AI types, ethics basics, and governance frameworks before tackling advanced threat modeling, technical implementations, and strategic planning covered in this intensive program.

Unlike courses that only mention frameworks, we provide hands-on implementation of NIST AI RMF and ISO 42001, complete with checklists, evidence artifacts, and audit readiness strategies. You’ll learn to operationalize governance—not just understand it—plus advanced GRC topics like SOC 2 alignment and DevSecOps integration that technical courses typically overlook.

We bridge the gap between high-level business courses and deep technical training. You’ll understand forward propagation, backpropagation, and transformers through practical analogies, then apply that knowledge to real threat modeling using MITRE ATLAS and OWASP frameworks—perfect for leaders who need technical credibility without becoming data scientists.

This course is designed for AI program managers, CTOs, risk professionals, DevSecOps teams, and consultants implementing AI governance. If you’re responsible for AI strategy, security, or compliance—and need to move beyond basic AI literacy to practical implementation—this training provides the advanced skills you need.

You’ll complete threat modeling exercises using real frameworks, build a prototype AI governance dashboard, conduct mock audits, and create a 90-day implementation roadmap with OKRs. Every module includes interactive labs, from prompt injection demonstrations to SHAP/LIME explainability tools—ensuring you leave with immediately applicable skills.

Beyond covering current regulations like the EU AI Act, we teach you to build adaptive governance systems that scale with regulatory changes. You’ll master audit readiness, evidence documentation, and compliance automation strategies that work across multiple frameworks—essential as AI regulation rapidly evolves globally.