Secure Microsoft AI Solutions in the Cloud

Course Description

Secure Microsoft AI Solutions in the Cloud develops practical, role-relevant capability in designing, deploying, and operating secure Microsoft Azure AI solutions with identity, data protection, network controls, compliance, monitoring, and responsible AI practices. The course connects important platform concepts with implementation decisions, operational controls, and realistic workplace scenarios.

Learners progress through four structured lessons aligned to the supplied source course focus. The learning path emphasizes accurate configuration or development, secure practices, reliable operations, collaboration, and evidence-based troubleshooting.

By completing the course, learners can apply the skills to role-specific tasks, review results against clear acceptance criteria, and create a practical improvement plan for continued development.

What You Will Learn

• Identify AI solution components, data flows, identities, endpoints, models, and dependencies
• Apply shared responsibility, zero-trust, defense-in-depth, and threat-modeling concepts
• Define security, privacy, compliance, availability, and responsible-AI requirements
• Use managed identities, role-based access, least privilege, secrets, and key management
• Protect networks, endpoints, storage, data sources, training data, and inference traffic
• Apply encryption, private connectivity, content controls, and data-governance practices
• Deploy AI components with controlled configuration, dependencies, and environment separation
• Monitor logs, performance, access, content safety, abuse, drift, and security signals

SkillDynamo Training Approach

SkillDynamo delivers this Secure Microsoft AI Solutions in the Cloud course through instructor-led demonstrations, hands-on exercises, scenario analysis, validation checklists, structured troubleshooting, evidence-based reviews, and a final improvement plan linked to practical workplace outcomes.