Application Lifecycle Management with Pipelines

In this session, I will present and explain the advantages of using Power Platform Pipelines. During this session, we will set up the necessary environments, create a pipeline which promotes solutions from development, through test, and finally into production. In this session, I will deploy a solution through the stages and go over the Deployment Pipeline Configuration app and features such as run history, deployment stages, etc.

Using Azure AI in the Microsoft Power Platform within a GCC High Environment

In this session, we'll make use of different Azure AI services such as the Computer Vision Service, Azure OpenAI GPT, Language Service, and more, all within the low code, Microsoft Power Platform. We'll demonstrate how to build a Canvas Power App and Power Automate Cloud Flows which can easily make use of the highly capable Azure AI services available for use within government Azure tenants today. First, we'll demonstrate the ease of use of the AI Builder models, then we'll step up to using the AI Service connectors, finally we'll end with using the HTTP connector to expose the greatest capabilities of the Azure AI services.

This session is built for those that have experience building with the Power Platform, specifically Power Apps and Power Automate. No previous Azure AI experience is necessary! We'll be starting with a blank canvas and completely new flows, building within a Government Community Cloud High tenant.

Let's Build a Custom Connector

In this session, we'll be building a custom connector to communicate with a custom, on premise REST API enabling us to build a Power App and Power Automate flow to interact with legacy, on premise data.