In this episode of Power Platform Deep Dive, we unpack what the modern Power Platform stack looks like in the age of AI.
Our main deep dive focuses on AI automation, Copilot Studio, and Application Lifecycle Management in a low-code world. We discuss architecture decisions, prompt engineering, governance, and whether developers still need to learn code in the AI era.
Main Deep Dive Topics
* Copilot Studio vs Copilot Studio Lite
* Real AI automation challenges
* Why clean data is critical for AI success
* ALM mistakes to avoid in production
* Prompt engineering using the GCSE framework: Goal, Context, Source, Expectation
* Career growth paths in Power Platform
Power Platform News Round-Up Links
* Copilot Confusion Explained – Lisa Crosbie
* Build Your First PCF Control in Power Apps (With AI) – Shane Young
* New Power Platform Admin Center Experience – Microsoft
* Add Other Agents – Microsoft Copilot Studio
https://learn.microsoft.com/en-us/microsoft-copilot-studio/authoring-add-other-agents
* AI Agent Orchestration Patterns – Azure Architecture Center
https://learn.microsoft.com/en-us/azure/architecture/ai-ml/guide/ai-agent-design-patterns
* Export and Email a Power BI Report with Power Automate
https://learn.microsoft.com/en-us/power-bi/collaborate-share/service-automate-power-bi-report-export
* Azure Synapse Link for Dataverse
https://learn.microsoft.com/en-us/power-apps/maker/data-platform/azure-synapse-link-synapse
* Overview of Copilot in Fabric
https://learn.microsoft.com/en-us/fabric/fundamentals/copilot-fabric-overview
If you build with Power Apps, Power Automate, Copilot Studio or Dataverse, this podcast is for you.
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