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You Start
Starts 4 June 2026 00:02
Ends 4 June 2026
49 minutes
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Not Specified
Progress at your own speed
Free Online Course
Optional upgrade avallable
Overview
Learn how to align AI solutions with business goals, scale AI adoption, and use Microsoft AI technologies for enterprise success.After completing this module, you will be able to:
Explain the architect's role in driving AI adoption and transformation. Identify key responsibilities of an AI architect in business contexts.
Understand how architects align AI solutions with organizational goals. Apply best practices for scaling AI across enterprise environments.
Identify core Microsoft AI services and tools. Explore Microsoft Copilot solutions and their business value.
Understand how generative AI unlocks productivity in enterprise environments. Identify OOB Microsoft AI agent resources available for business solutions.
Learn to analyze, design, and implement AI-powered business solutions using agents, generative AI, and Microsoft Copilot for productivity.After completing this module, you will be able to:
Explain how AI agents support task automation, data analytics, and decision-making. Describe the role of Microsoft Copilot and generative AI in enhancing productivity.
Assess scenarios where AI agents add measurable value to enterprise environments. Evaluate grounding data quality across accuracy, relevance, timeliness, cleanliness, and availability.
Organize business solution data for AI readiness and scalable consumption.
Syllabus
- Introduction to agentic AI business solutionsIntroductionDrive AI transformation with architect strategiesExplore Microsoft AI technologies for businessIdentify Microsoft AI technologies for business solutionsIdentify out-of-box Microsoft AI agent resources for business solutionsIdentify out-of-box Microsoft AI agents for businessModule assessmentSummary
- Analyze requirements for AI-powered business solutionsIntroductionAssess the use of agents in task automation, data analytics, and decision-makingReview data for grounding accuracy, relevance, timeliness, cleanliness, and availabilityOrganize business solution data for AI systemsModule assessmentSummary
Subjects
Artificial Intelligence