In this module, an overview of what is Artificial Intelligence (AI) and what is different between AI and Machine learning (ML) will be provided and then an overview of what is cognitive service will be discussed. Different types of Cognitive services and how to access them will be shown.

In this module an overview of Power Apps, a tool to create an application with no/low coding will be presented in lesson 4, then in lesson 5, how to create a simple app in Power Apps to take a photo has been shown.

In lesson six, the audience will understand what Microsoft flow is, and how it can be used. In lesson 7 audience will learn how to store a picture from Power Apps in OneDrive. Next, in lesson 8, the audience will learn how to store a picture from Power Apps in SharePoint Folder. Finally, in lesson 9, how to create a Microsoft flow to get a picture from Power Apps, then store it in OneDrive, then use the OCR component to analyze the picture and extract the text from the image and send the text to the Power Apps will be presented.

In this module, first, the audience will learn how to connect Power Apps and Microsoft Flow and create an OCR application and get a picture of a business card and extract the text in the image, next, in lesson 11, the audience will learn how to see the created OCR application in the android phone using Power Apps application.

In this module, first in lesson 12, an introduction on the Scene and activity recognition in the image will be presented, the audience will get familiar with this API and its specification, which will return as the output. Next, in lesson 13, the audience will learn how to call a web service from cognitive service in MS Flow by providing API, URI, and some other web service information. In lesson 14, the audience will learn how to create an application that able to detect the scene and activities in a picture using Microsoft in Lesson 13 and Microsoft Power Apps. Next, in lesson 15, the audience will learn how to create an application that able to detect the scene and activities in a picture using Microsoft in Lesson 13 and Microsoft Power Apps. Finally, the process of we able to show the result of collection from Microsoft flow for face recognition has been shown, the audience sees how to show age and gender of the people plus their hair color.

In this module, first in lesson 17, an introduction to text analytics, what is the main concept of Text analytics and how we able to access it in cognitive service will be provided. Next, in lesson 18, the audience will get familiar with Text analytics Cognitive service API and its specification, what will return as the output and how to work with it in Power BI desktop. Next, in lesson 19, the audience will learn how to analyze the customer feedback using text analytics module in cognitive services and detect the language of the text. Finally, in lesson 20, the audience will learn how to analyze the customer feedback using text analytics module in cognitive services and detect the language of the text.