RPA – AI Development

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Duration 5 days – 35 hrs

 

Overview

 

This advanced training course is designed for individuals who have a foundational knowledge of Power Automate and are looking to enhance their skills in building complex automation solutions using Power Automate and AI Builder. The course will cover advanced concepts, practical applications, and best practices to empower participants to create efficient and intelligent automation workflows.

 

Objectives

 

  • Understand advanced workflow design principles in Power Automate.
  • Integrate AI Builder to enhance automation capabilities.
  • Utilize connectors and APIs for seamless data integration.
  • Analyze and monitor automation performance.

 

Audience

 

  • Professionals with prior experience in Power Automate.
  • Business analysts, developers, and IT professionals seeking to deepen their automation skills.

 

Pre- requisites 

  • Basic understanding of Power Automate and RPA concepts.
  • Experience in creating simple workflows and automations.
  • Familiarity with Microsoft 365 applications (e.g., SharePoint, Excel).
  • Basic knowledge of data manipulation and integration concepts.

Course Content

 

Module 1: Introduction to AI Builder and Power Automate

 

  • Overview of Power Automate and AI Builder
  • Course objectives and expectations
  • Understanding AI Builder capabilities
  • Use cases for AI integration in automation

 

Module 2: Creating AI Models with AI Builder

 

  • Introduction to AI model types (form processing, object detection, prediction, and etc.)
  • Step-by-step guide to creating AI models
  • Custom Models and Prebuild Models
  • Training and evaluation of AI models
  • Best practices for model accuracy and performance

 

Module 3: Integrating AI Models with Power Automate

 

  • Connecting AI Builder models to Power Automate workflows
  • Using AI models to enhance data processing and decision-making
  • Implementing AI-driven triggers and actions in workflows
  • Case studies of successful AI integration

 

Module 4: Advanced Automation Scenarios with AI Builder

 

  • Designing complex workflows that utilize AI models
  • Error handling and debugging AI-enhanced workflows
  • Monitoring and analyzing the performance of AI-driven automations
  • Troubleshooting common issues with AI integration

 

Module 5: Project Work, Licensing Considerations, and Course Wrap-up

 

  • Group project: Designing an end-to-end automation solution using AI Builder
  • Presentations of AI-enhanced automation solutions
  • Licensing considerations for AI Builder (costs, plans, and limitations)
  • Final assessment and certification
  • Q&A session and feedback

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