Cursussen
18776 Cursussen
Some Fundamentals of Generative Models
Discover core principles of generative models through expert insights on diffusion processes, preference learning, and inference-time scaling techniques.
AI at the Board Level - Framing Safety, Liability and Compliance for Executive Leadership
Master AI governance strategies for boards and executives, covering safety frameworks, liability management, and compliance reporting to drive responsible innovation and accountability.
Inside the Black Box - Exploring LLMs with the National Deep Inference Fabric
Uncover hidden knowledge within large language models using the National Deep Inference Fabric, exploring interpretable ML techniques to reveal how LLMs process information and represent knowledge.
Securing the Agentic Control Plane - AI System Security and CSA's Call to Action
Explore the Agentic Control Plane concept and learn how CSA leads efforts to define security principles for AI-driven environments and autonomous systems.
Agentic AI + Zero Trust - Turning GenAI Hype into Secure Business Impact
Discover how to merge AI ambitions with Zero Trust security for actionable business results, including readiness assessments and 90-day implementation plans.
AI Agents and the Future of Trust - Security Leadership in the Age of Autonomy
Discover how AI agents are transforming security leadership from data protection to decision safeguarding, featuring real-world AI governance insights and trust-building strategies.
Inside ForcedLeak - How AI Agents Expand the Enterprise Attack Surface
Discover how the ForcedLeak vulnerability (CVSS 9.4) in AI agents creates new enterprise security risks through prompt injection and policy gaps, plus actionable defense strategies.
Introducing the AI Controls Matrix (AICM v1.0) - Operationalizing AI Governance at Scale
Discover the AI Controls Matrix (AICM v1.0), a vendor-neutral framework with 243 control objectives across 18 domains for securing and governing cloud-based AI systems at scale.
Agent Drift - Understanding and Managing AI Agent Performance Degradation in Production
Discover how to detect, measure, and mitigate Agent Drift - the gradual performance degradation affecting AI agents in production through evolving data and shifting behaviors.
How Math-Driven Thinking Builds Smarter Agentic Systems
Discover how mathematical foundations drive smarter agentic AI systems, from model selection to hybrid architectures and rigorous benchmarking for production-ready agents.
Context Engineering - Practical Techniques for Improving Agent Quality Today
Master context engineering techniques to improve AI agent reliability and performance through strategic prompting, reasoning, and tooling rather than relying on larger models.
Building Open Infrastructure for the Agentic Era
Explore how to build open infrastructure for AI agents, understanding why current web systems limit innovation and how MLOps professionals can shape scalable, interoperable foundations.