In this course, you will learn how to create a Bot Framework solution from the ground up, including how to piece it together with other Azure components such as AI Services, Search Engines, and Database Backends and then push it to Production.
When building your bot framework solution in Azure, you will need to understand how to connect it to many different AI and other data-related services as well as how to deploy it into a productionized environment. In this course, Implementing a Microsoft Azure AI Bot Framework Solution, you will gain the ability to develop and deploy a Bot Framework solution. First, you will learn how to connect all of the necessary services for your Bot Framework solution. Next, you will discover how to test the connectivity of those services as well as how to validate the output of the Bot Framework solutions activities. Finally, you will explore how to productionize your Bot Framework solution so that it can be deployed in Azure and you can feel secure about that deployment. When you’re finished with this course, you will have the skills and knowledge of Azure AI Bot Framework needed to develop, test, connect, and eventually deploy your own Bot Framework solution using any of the available connected services that Azure provides.
Course Overview [Autogenerated] Hi, everyone. My name is Brian Harrison and I'm a cloud solution architect. Welcome to my course. Implementing a bought framework solution in Microsoft Azure. This course will provide you with the knowledge that you will need to build and Azure framework solution. When building your solution, you'll need to understand how to connect it to many different AI and other data related services, as well as how to deploy it into a production eyes environment. All of this knowledge will be provided as part of this course. Some of the major topics that we will cover include how to set up your development environment for creating and interacting with about framework solution and it's connected services. How to deploy and leverage both a I and data related services within your bought framework solution when troubleshooting you're bought. Framework solution. What does the API output look like? And how can the baht framework emulator help you make quick changes within those connected services? Once development is complete, what are some of the items that you need to be kept in mind when deploying the baht framework solution into a production environment? So by the end of this course, you should have no problem creating your framework solution and understand how to connect in other AI or data related services, and you definitely should be able to deploy that solution into a production environment.