Advanced RPA – Microsoft Power Automate With AI Builder

by


AI Builders
⏱️ Length: 2.1 total hours
⭐ 4.46/5 rating
πŸ‘₯ 8,481 students
πŸ”„ March 2022 update

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  • Course Overview

    • Embark on an insightful journey into the realm of Advanced Robotic Process Automation (RPA) by integrating cutting-edge artificial intelligence capabilities directly into your automated workflows. This course, titled ‘Advanced RPA – Microsoft Power Automate With AI Builder,’ serves as a comprehensive guide for professionals looking to elevate their automation strategies beyond mere task repetition to intelligent, data-driven process orchestration. You will discover how Microsoft Power Automate, a powerful low-code platform, can be seamlessly augmented with AI Builder’s cognitive services, enabling your automated processes to understand, interpret, and act upon complex data.
    • Delve into the revolutionary potential of AI Builder, a feature within the Microsoft Power Platform that empowers citizen developers and business users alike to infuse their Power Automate flows with sophisticated AI models without requiring deep machine learning expertise. This course specifically focuses on bridging the gap between traditional RPA and hyperautomation, providing the tools and knowledge to create intelligent automation solutions that can process unstructured data, make predictions, detect objects, and analyze sentiment, transforming previously manual, cognitive tasks into automated, efficient operations.
    • While the course offers 2.1 total hours of focused content, it is packed with practical insights designed to quickly upskill participants in this pivotal area. Garnering an impressive 4.46/5 rating from 8,481 students, this curriculum stands as a testament to its effectiveness and the high value it delivers. Updated in March 2022, the content remains highly relevant and aligned with the latest advancements in Microsoft’s Power Platform, ensuring that learners acquire contemporary skills applicable in today’s dynamic business environment. Prepare to unlock unprecedented levels of efficiency and intelligence in your organizational processes.

  • Requirements / Prerequisites

    • A foundational understanding of Microsoft Power Automate (formerly Microsoft Flow) is highly recommended. This course builds upon core Power Automate concepts, assuming familiarity with creating basic flows, understanding triggers, actions, and connectors, and navigating the Power Automate interface. Prior experience with constructing simple automated workflows will significantly enhance your learning experience and allow you to grasp advanced concepts more readily.
    • Access to a Microsoft Power Platform environment with AI Builder capabilities is essential for hands-on practice. This could be a licensed environment or a trial account, which is readily available from Microsoft. Practical application of the concepts taught is a cornerstone of this course, making an active environment crucial for developing and testing your AI-enhanced flows.
    • Basic computer literacy and a general understanding of business process automation concepts will be beneficial. While no prior experience in artificial intelligence, machine learning, or data science is requiredβ€”as AI Builder democratizes these technologiesβ€”a logical approach to problem-solving and an eagerness to automate will serve you well.
    • A willingness to experiment and engage with real-world scenarios is encouraged. The Power Platform ecosystem is vast and interconnected, and a curious mindset will enable you to explore integration possibilities beyond the explicit scope of the course, solidifying your understanding of hyperautomation principles.

  • Skills Covered / Tools Used

    • Designing Intelligent Automation Workflows: Master the art of conceptualizing and structuring automation processes that incorporate cognitive capabilities. Learn how to identify suitable use cases for AI integration, moving beyond rule-based automation to processes that can adapt and make decisions based on interpreted data.
    • Leveraging AI Builder’s Core Models: Gain proficiency in utilizing various pre-built AI Builder models, including Form Processing for extracting structured data from documents, Object Detection for identifying and counting items in images, and Text Recognition for extracting text from images and PDFs. You will understand their specific applications and limitations.
    • Implementing Prediction and Sentiment Analysis: Develop skills in integrating AI Builder’s Prediction model to forecast future outcomes based on historical data, and the Sentiment Analysis model to gauge the emotional tone of text. Apply these to enhance customer service automation, sales forecasting, and operational efficiency.
    • Building Custom AI Models: For more specialized needs, you will learn the fundamentals of creating and training your own custom AI Builder models, such as custom form processing models or category classification models, to precisely meet unique business requirements and data structures.
    • Data Preparation and Model Training: Understand the critical steps involved in preparing data for AI model training within AI Builder, including data labeling, collection, and ensuring data quality. Learn how to effectively train, test, and publish your AI models for optimal performance within Power Automate.
    • Integrating AI Builder with Power Automate: Acquire hands-on experience in calling AI Builder models directly from Power Automate flows, passing inputs, and processing outputs. This includes using AI Builder actions within your flows to enrich data, trigger subsequent actions, or update records in other systems.
    • Error Handling and Optimization for AI Flows: Learn strategies for implementing robust error handling mechanisms within your AI-driven flows to manage scenarios where AI models may return uncertain results or errors. Discover techniques for monitoring model performance and optimizing flow design for maximum reliability and efficiency.
    • Working with Microsoft Dataverse (Common Data Service): Understand how AI Builder models often interact with Dataverse for storing training data, model outputs, and for deeper integration with Power Apps and other Power Platform components, enabling a unified data strategy for your intelligent automations.
    • Tools Used: The primary tools are Microsoft Power Automate for workflow orchestration and Microsoft AI Builder for embedding cognitive services. Ancillary tools and services implicitly involved include various Microsoft 365 services (e.g., SharePoint, Outlook, Teams for flow triggers and actions), and the Microsoft Dataverse for data management.

  • Benefits / Outcomes

    • Empowerment in Hyperautomation: Gain the confidence and practical skills to design and implement sophisticated hyperautomation solutions, combining traditional RPA with advanced AI capabilities, making you a valuable asset in organizations striving for digital transformation.
    • Transform Unstructured Data into Actionable Insights: Develop the ability to intelligently process vast amounts of unstructured dataβ€”such as documents, emails, and imagesβ€”extracting meaningful information and transforming it into structured data that drives informed decision-making and automated actions.
    • Significant Efficiency and Accuracy Gains: Automate tasks that previously required human cognitive effort, leading to substantial improvements in operational efficiency, reduced manual errors, and accelerated business processes across various departments.
    • Enhanced Career Opportunities: Position yourself at the forefront of the rapidly expanding fields of RPA and AI integration. Proficiency in Microsoft Power Automate with AI Builder is a highly sought-after skill, opening doors to roles like Automation Developer, Business Process Analyst, and Solution Architect.
    • Democratization of AI: Understand how to democratize AI within your organization, enabling business users to build intelligent solutions without relying on dedicated data science teams, fostering innovation and agility across departments.
    • Creation of Resilient and Adaptive Systems: Learn to build automated systems that are more robust and adaptive, capable of handling variations in data and processes by leveraging AI to interpret context and make intelligent decisions, thus reducing the need for constant manual intervention.

  • PROS

    • Rapid Skill Acquisition: The concise 2.1-hour format allows for quick upskilling in a critical and in-demand area, making it ideal for busy professionals.
    • High Practical Value: Focuses on direct application, enabling learners to build real-world intelligent automation solutions immediately.
    • Strong Community Endorsement: A high rating from a large number of students (4.46/5 from 8,481 students) indicates proven effectiveness and satisfaction.
    • Up-to-Date Content: The March 2022 update ensures the course material is relevant and aligns with the latest platform features and best practices.
    • Accessibility of AI: Empowers individuals without deep AI/ML backgrounds to integrate sophisticated AI capabilities into their processes.

  • CONS

    • The rapidly evolving nature of the Microsoft Power Platform means continuous learning and updates may be necessary to stay current with new features and changes.
Learning Tracks: English,Development,No-Code Development
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