Courses
Live Udemy courses
Self-paced courses distilled from 178+ live training sessions and hands-on advisory engagements, for leaders who want the strategic and security fundamentals of GenAI adoption.
GenAI and Responsible AI for Leaders
Strategic Leadership in the AI Era: Security, Risk, and Innovation
Rating: 4.6 out of 5 (3 ratings) · 14 students · Last updated 6/2026 · English
What you'll learn
- Master the strategic landscape of AI, ML, and GenAI to drive competitive advantage through real-world applications, demonstrated through case studies from Tesla
- Create and execute successful AI adoption roadmaps with security-first implementation approaches, from vendor selection to performance measurement
- Lead organizational transformation by building AI-ready cultures, sustainable governance models, and long-term strategic plans for secure AI integration
- Develop comprehensive AI security strategies and risk management frameworks to protect your organization’s AI assets, data, and reputation in an evolving threat landscape
- Navigate the complex world of AI governance and compliance, including NIST frameworks, EU AI Act, and GDPR, while building robust privacy protection strategies
GenAI and AI Security – Frameworks and Best Practices
Driving Enterprise GenAI Adoption: Tools, Frameworks, and Real-World Case Studies from Industry Leaders
Rating: 4.3 out of 5 (1,246 learners) · 1,246 students · Last updated 6/2026 · English
What you'll learn
- Master the foundational principles and best practices for integrating Generative AI in cybersecurity
- Learn the fundamentals of AI, ML, and deep learning, focusing on their applications in various industries, including a case study on Tesla Autopilot
- Study the intersection of AI/ML and cybersecurity, understanding ethical considerations and potential risks with examples from real-world scenarios
- Explore the latest trends as per industry reports like those from Gartner
- Delve into typical cloud-based and AI-specific cybersecurity architectures, learning how they differ and why they’re essential
- Develop strategies for managing AI data privacy, including data quality, governance, and lifecycle management
- Learn about AI risk management frameworks like NIST AI RMF, and explore case studies on navigating AI risks
- Understand key AI controls and policies, including the CIA Triad, OWASP AI vulnerabilities, and AI governance frameworks
- Gain knowledge about auditing AI systems, understanding components of compliance, and readiness comparisons
- Explore various AI regulatory frameworks, including the EU AI Act, GDPR, and ethical AI frameworks by OECD
- Understand the security implications of Generative AI, exploring defenses, future challenges, and opportunities
- Learn about innovative GenAI solutions and opportunities, including custom LLM implementations and industry-specific applications
- Understand how AI can be used to enhance governance practices and develop frameworks for low-risk AI adoption
- Study key controversies and ethical issues in AI, as outlined by UNESCO and other bodies, to inform responsible AI practices
Live for leadership teams
These courses, delivered live for corporates, enterprises, and SMEs
For leadership and C-suite teams, run as live workshops on AI-native transformation, Claude Code and agentic coding, AI security, and responsible AI practices, built to sharpen build-vs-buy decisions. We won't charge for training alone. We travel through the transformation with your team to make sure it's practiced and followed, not just presented.
🤝 If this resonates, let's connect, I'll help you identify the one readiness gap costing your enterprise the most.
Enterprise and team cohort pricing is scoped to group size and sector, contact me for pricing →. See the full Readiness Over Awareness framework and workshop topics on Strategy & Training →
Want this training delivered live for your team?
Workshops and strategy sprints on GenAI adoption, security, and governance.