AI Builder for Power Platform Course Overview

AI Builder for Power Platform Course Overview

The AI Builder for Power Platform course is an in-depth training program designed for individuals looking to leverage artificial intelligence within the Microsoft Power Platform ecosystem. This course equips learners with the knowledge to use, manage, and deploy AI models that enhance the capabilities of Power Apps and Power Automate.

Starting with an Introduction to AI Builder and understanding the AI Builder licensing, the course progresses to different AI Model Types, including both prebuilt and custom options. Learners will get hands-on experience with prebuilt AI models, and delve into creating custom AI models, learning about prediction models, their prerequisites, and how to train and publish them.

The course also covers how to integrate Azure Machine Learning models into AI Builder, and how to use these AI models within Power Automate and Power Apps to create intelligent workflows and applications. Lastly, it addresses administration and security aspects of AI Builder, teaching how to manage the AI model lifecycle, monitor data capacity, understand consumption reports, and configure roles and security.

This comprehensive course will enable participants to effectively implement AI solutions within their Power Platform projects, making them proficient in creating smarter business solutions.

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1,000

  • Live Online Training (Duration : 16 Hours)
  • Per Participant
  • Guaranteed-to-Run (GTR)
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♱ Excluding VAT/GST

Classroom Training price is on request

  • Live Online Training (Duration : 16 Hours)
  • Per Participant

♱ Excluding VAT/GST

Classroom Training price is on request

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Course Prerequisites

To ensure that participants are well-prepared to successfully undertake the AI Builder for Power Platform course, the following minimum prerequisites are recommended:


  • Basic understanding of Microsoft Power Platform, including Power Apps and Power Automate.
  • Familiarity with the core concepts of artificial intelligence and machine learning.
  • Experience with Microsoft 365 and its components such as SharePoint, Excel, and Microsoft Teams.
  • Knowledge of data handling and manipulation in the context of software applications.
  • Ability to navigate and perform basic operations within the Microsoft Power Platform environment.
  • A keen interest in automating business processes and incorporating AI capabilities.

Please note that while these are the minimum prerequisites, the course is designed to be accessible to learners with varying levels of technical expertise. Learners are encouraged to bring their enthusiasm and willingness to explore and learn about the AI Builder's capabilities.


Target Audience for AI Builder for Power Platform

Koenig Solutions' AI Builder for Power Platform course equips professionals with AI model integration skills for Microsoft Power Apps and Power Automate.


  • Data Analysts and Scientists
  • Business Intelligence Professionals
  • IT Developers and Programmers
  • Power Platform Developers
  • AI and Machine Learning Enthusiasts
  • Process Automation Specialists
  • Solution Architects
  • Application Developers
  • IT Project Managers
  • Business Analysts
  • Microsoft Dynamics 365 Consultants
  • Software Engineers seeking to expand their skill set into AI
  • Technical Team Leads overseeing Power Platform projects
  • System Administrators involved in app lifecycle and security
  • Professionals working on digital transformation projects


Learning Objectives - What you will Learn in this AI Builder for Power Platform?

Introduction to the Course's Learning Outcomes and Concepts Covered

Gain proficiency in leveraging AI Builder to enhance business solutions on the Power Platform, covering AI model integration, licensing, administration, security, and practical applications in Power Automate and Power Apps.

Learning Objectives and Outcomes

  • Understand the fundamentals of AI Builder within the Power Platform ecosystem.
  • Learn about different AI Builder licensing options and requirements.
  • Identify various AI model types and their specific use cases.
  • Gain insights into prebuilt AI models and their applications.
  • Acquire knowledge on creating, training, and publishing custom AI prediction models.
  • Understand how to integrate Azure Machine Learning models with AI Builder.
  • Master the use of AI Builder models within Power Automate for automated workflows.
  • Learn to embed AI Builder models in Power Apps and Canvas Apps to enhance app functionality.
  • Manage the lifecycle of AI custom models, monitor data capacity, and understand consumption reporting.
  • Comprehend roles, security, and best practices for administering AI Builder in an organizational context.