This learning path shows how AI, including Azure OpenAI, can modernize healthcare administration by improving claims processing and prior authorization. You'll learn to define, design, and deliver secure, governed automation solutions that improve efficiency and accuracy while keeping people accountable for compliance and outcomes.

Government services can be hard to navigate when information is spread across departments and systems. This learning path shows how a citizen services virtual assistant can use conversational AI and Azure OpenAI to help residents find information, understand requirements, and take the right next steps—while keeping people accountable for service quality and accuracy.

Cloud migration gets sold as a technology decision. It's not. The technology works, but what catches organizations off guard is everything else: the shift in how teams operate, the move from capital budgets to consumption-based spending, the governance structures that need to exist before anything moves, and the uncomfortable fact that cloud adoption doesn't have a finish line. It keeps evolving. This learning path walks through the full lifecycle of cloud adoption using Microsoft's Cloud Adoption Framework (CAF). Not as a technical implementation guide, but as a business strategy resource.

Accessibility is no longer a niche requirement. It is a mainstream expectation that shapes how organizations reach customers, communicate clearly, and deliver content at scale. In this learning path, you will see how inclusive content improves consistency, strengthens quality, and elevates customer experience across every channel. You will explore what accessibility looks like across common content formats and how AI can accelerate time‑intensive tasks such as generating alt text, creating captions and transcripts, and rewriting content in plain language. You will also learn how these capabilities come together with Azure OpenAI to support a secure and governed approach. This approach keeps people in control while enabling teams to produce inclusive, high‑quality content with confidence.

Most organizations have plenty of data. What they lack is confidence. This learning path is designed to fix exactly that. We will help you understand Microsoft Fabric as a complete, end-to-end analytics platform. You will see what the technology actually changes, what stays the same, and how to adopt it in a way that genuinely improves how your business makes decisions. We are aiming for speed, trust, and scale—not just a shiny new set of tools. You will learn how Fabric's integrated workloads and its OneLake foundation work together to eliminate endless handoffs and data duplication. We will also show you where governance fits into daily delivery, so it acts as a guardrail rather than a roadblock.

The Microsoft Sentinel Fundamentals course provides a comprehensive overview of the Microsoft cloud-native SIEM and SOAR platform. It begins with an introduction to Sentinel's architecture, highlighting how it aggregates data across users, devices, and applications to provide a bird's-eye view of an organization's security posture. The curriculum then dives into Threat Intelligence, teaching students how to ingest and manage indicators of compromise (IOCs) from various feeds to proactively identify malicious activity. Central to the course is Analytics, where learners master the Kusto Query Language (KQL). Through KQL, you'll learn to write high-performance queries to filter massive datasets, build custom detection rules, and hunt for sophisticated threats.