Zero to AI Apps with the AI Builder in Office 365

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(Course eligible for SATVs)

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In this course you will see the AI Builder in action, to employ your own creative, practical codeless artificial intelligence techniques within your official 365 environment. You will also use the AI Builder to train and automate your AI apps to continuously improve your business. AI Builder is a new Power Platform capability that allows you to easily automate processes and predict outcomes to help improve Business performance. AI Builder is a turnkey solution that brings the power of AI through a point-and-click experience. Using AI Builder, you can add intelligence to your apps even if you have no coding or datascience skills. In a retail or distribution business, creating an image recognition model to recognise styles and recommend similar products, will allow you to engage your customers and employers visually like never before. Using AI image recognition is easy thanks to integration with PowerApps and Microsoft Flow.

Adding intelligence to your business is as simple as this: 

  1. Choose AI model type: Use the model type that suits your business need. Choose from a growing set of AI turnkey solutions.
  2. Connect data: Select your business-specific data from Common Data Service. AI Builder does the hard work for you thanks to the Common Data Model.
  3. Tailor your AI model: Filter your data, set scheduling, and tweak the AI model to optimize how your AI performs.
  4. Train your AI model: Training is an automatic process where AI Builder “teaches” your AI model how to resolve your business problem (for example, recognize your products on an image) thanks to your business data and tailoring. When trained, your AI model can generate insights, such as the result of a prediction or the list and number of objects detected in an image.
  5. Use your AI model’s insights: Use the results from your AI model across Power Platform to create end-to-end solutions that meet your business needs, even if you have no coding skills. For example, create a flow that automates document processing in Microsoft Flow, or an app created with PowerApps that predicts whether a supplier will be out of compliance. 


We also teach you how to leverage intelligence to automate and add value to your AI Apps using APIs for scenarios like conditional actioning on the weather!

 

This is a Premium New Horizons course. This course usually runs in a connected classroom, and students need to bring their own device.

Lessons:
AI Builder is a new Power Platform capability that allows you to easily automate processes and predict outcomes to help improve business performance. AI Builder is a turnkey solution that brings the power of AI through a point-and-click experience.

Using AI Builder, you can add intelligence to your apps even if you have no coding or datascience skills.

Lab :

  • Learn About the new AI Builder
  • How to Access the AI Builder in Office 365
  • Some typical applications of AI Apps
  • Learn About the new AI Models

 

After completing this module, students will be able to:

  • Implement AI Apps using the AI Builder in Office 365
  • Implement AI Models like Binary classification and image classification
  • Use Microsoft Flow to implement Sentiment Analysis
  • Use Microsoft Flow to implement real time weather data
  • Implement custom APIs

Lessons:
You will configure a real time Power BI tile to visualize real time weather data. For the Power BI tile, you will select the axis as the time series, and then display whichever weather measure you want as the values on the chart. Once setup with an automatic backend feeder from Microsoft Flow, you should now be all set to see real time weather, and see data appear on your dashboard tile in real-time.

Lab:

  • Create a real time Power BI tile
  • Access the weather API
  • Use Microsoft Flow as the AI engine room

 

After completing this module, students will be able to:
Build an object detection model that recognises your products in an image, or a binary classification model that predicts business outcomes based on patterns the AI learns from your historical data. You will train and publish the model, and it's ready for use in your business.

Lessons:

You will configure a real time Power BI tile to visualise real time sentiment analysis. For the Power BI tile, you will select the axis as the time series, and then display whichever sentiment measure you want as the values on the chart. Once setup with an automatic backend feeder from Microsoft Flow, you should now be all set to see real time sentiment scores, and see data appear on your dashboard tile in real-time.

Lab:

You will configure a real time Power BI tile to visualise real time sentiment analysis. For the Power BI tile, you will select the axis as the time series, and then display whichever sentiment measure you want as the values on the chart. Once setup with an automatic backend feeder from Microsoft Flow, you should now be all set to see real time sentiment scores, and see data appear on your dashboard tile in real-time.

 

After completing this module, students will be able to:

In just a few minutes you have been able to set a new streaming data source for Power BI without writing a single line of code.

Lessons:

This course will show you how to do insert data into a Power BI Dataset from Microsoft Flow. You will register a Power BI Application, create a custom API in flow, automate the flow, and write to a Power BI dataset.

Lab:

  • Register an Application for Power BI
  • Configure Flow for a custom API
  • Use Microsoft Flow as the AI engine room

 

After completing this module, students will be able to:

  • In just a few minutes you have been able to set a new streaming data source for Power BI without writing a single line of code.

 

  • Visualise your machine learning experiments in Power BI
  • Use Microsoft Flow to implement Sentiment Analysis
  • Use Microsoft Flow to implement real time weather data
  • Implement custom APIs

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