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- 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.
- Learn to validate and maintain AI-powered business solutions with structured testing frameworks, metrics, and governance for enterprise reliability.
After completing this module, you'll be able to:
- Design structured testing processes for AI agents, custom models, and multi-application scenarios.
- Define measurable validation criteria for performance, safety, and compliance.
- Implement scalable testing strategies using Copilot for consistency and coverage.
- Ensure AI solutions align with enterprise goals and remain trustworthy throughout their lifecycle.
