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This module equips candidates to act with clarity and confidence by aligning technology investments with business strategy and outcomes, in line with ITIL® guidance. It helps ensure that digital products and services deliver measurable value while embedding a culture...

This module equips candidates with guidance to transform the way organizations work by balancing governance, execution, and continual learning. Aligned with ITIL® guidance, it provides practical direction to help align people, processes, and technology, ensuring tran...

Secure AI solutions in the cloud by configuring AI workloads, applying cloud-native protections, and reinforcing security outcomes with identity controls. Learn how AI workloads authenticate, how trust boundaries are established, and how security posture and workload...

This course moves from foundational setup to production deployment, covering environment configuration and enterprise-grade governance. Learn to build robust ingestion pipelines, implement security with Unity Catalog, and deploy optimized workloads. By the end, you w...

AI‑200 validates the skills required to design, build, and operate cloud‑native AI solutions on Microsoft Azure.It focuses on integrating Azure AI services into scalable applications using containers, serverless compute, event‑driven architectures, and vector‑enabled...

The 70:20:10 model highlights the need for a blend of experiential, social and formal learning. The model was developed 30 years ago and while it has evolved, it still holds up today.

This white paper provides a list of 10 security tools and tests that will help you check out suspicious issues and keep ahead of new risks and threats.

Before implementing Cloud Computing, it's important to consider the security - learn the risks & benefits to be sure it is the right solution for you.

Ideal for those involved in the development, administration, and change management of the DataStage environment and programs, this paper provides guidance on simplifying the DataStage change management process and helps you understand what's required to promote DataStage objects from one environment to another, or in the worst case, disaster recovery.

This paper proposes a unifying model for project plans that allows projects of all types to be described at a high level, in a common language, regardless of the type of analysis used to develop the plan.