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Microsoft

AI Platform Delivery & Lifecycle

Microsoft via Coursera

Overview

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Delivering enterprise AI solutions at scale requires more than strong architecture. It demands effective platform planning, application design, and lifecycle management. This course builds the architectural decision making skills to design enterprise AI solutions across Dynamics 365, Power Platform, and Microsoft Foundry. You’ll design Copilot configurations and business term customizations for Dynamics 365 customer experience, service, sales, finance, and supply chain; architect Contact Center integrations and cross channel workflows; evaluate AI capabilities for finance and supply chain scenarios; design Power Apps with embedded Copilot Studio agents and AI Hub components using the Power Platform Well Architected Framework; and design ALM strategies for Copilot Studio, Foundry agents, and custom AI models, including source control, environment promotion, CI/CD, and drift detection. By course end, you’ll be able to design production ready AI solutions across Dynamics 365 and Power Platform and recommend lifecycle management strategies from development through production. This course is designed for AI architects, Dynamics 365 solution architects, Power Platform specialists, and DevOps practitioners.

Syllabus

  • Project Module: AI Platform Delivery & Lifecycle
    • Learners produce an integrated D365, Power Platform, and ALM architecture document for a provided enterprise scenario, synthesizing D365 AI configuration, Power Platform WAF evaluation, Copilot Studio ALM pipeline design, and Microsoft Foundry agent lifecycle management into a single coherent delivery architecture package that mirrors the platform delivery artifacts a senior AI solutions architect produces before an enterprise production launch.

Taught by

Microsoft

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