Advanced RPA - Microsoft Power Automate With AI Builder

Post published:6 December, 2025
Post category:StudyBullet-22
Reading time:3 mins read

AI Builders
⏱️ Length: 2.1 total hours
⭐ 4.44/5 rating
👥 10,219 students
🔄 March 2022 update

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Course Overview
- This advanced program integrates Microsoft Power Automate with AI Builder, moving beyond basic RPA to intelligent automation. Designed for professionals, it builds smarter, AI-driven workflows that transform business processes and enhance efficiency. The course offers a practical approach to leveraging cognitive services.
- Learn to architect sophisticated, end-to-end intelligent automation solutions. This course empowers you to implement AI-powered workflows, bridging traditional automation with advanced machine learning. Updated in March 2022, the content reflects the latest industry practices.
- Uncover the synergy between AI and RPA, enabling processes to interpret data, make decisions, and learn. This program equips you with skills to address complex business challenges by embedding AI intelligence directly into automated operations.
Requirements / Prerequisites
- Foundational understanding of Microsoft Power Automate and basic workflow automation concepts is essential.
- Familiarity with business process mapping and logical problem-solving helps in designing efficient AI-enhanced flows.
- Recommended access to a Microsoft 365 environment with Power Automate and AI Builder for hands-on practice (trial or developer accounts).
- No prior AI development experience needed, but an eagerness to learn new cloud technologies is beneficial.
Skills Covered / Tools Used
- Advanced Power Automate Capabilities: Master sophisticated cloud and desktop flows, custom connectors, data manipulation with expressions, and robust flow orchestration.
- AI Builder Model Implementation: Configure and deploy AI Builder models including form processing, object detection, text classification, sentiment analysis, and prediction models.
- Seamless AI-Workflow Integration: Develop proficiency in embedding and invoking AI Builder models directly within Power Automate flows for dynamic analysis and intelligent decision-making.
- Intelligent Data Extraction & Transformation: Acquire skills in extracting, transforming, and routing AI-processed data to various destinations for actionable insights.
- Robust Error Handling & Monitoring: Implement comprehensive error handling and monitoring strategies for resilient intelligent automation solutions.
- Tools Utilized: Core tools include Microsoft Power Automate (Cloud, Desktop flows), AI Builder, and integration with Microsoft Dataverse and SharePoint.
Benefits / Outcomes
- Become an intelligent automation developer capable of designing and deploying advanced RPA solutions augmented with AI.
- Dramatically improve operational efficiency and accuracy by automating complex, data-intensive, and cognitive tasks.
- Enable faster, more informed business decisions by integrating AI-driven insights directly into automated workflows.
- Future-proof your career in digital transformation by mastering cutting-edge intelligent automation technologies.
- Build a compelling portfolio of practical intelligent automation projects showcasing Power Automate and AI Builder proficiency.
PROS
- Highly Relevant & In-Demand Skills: Addresses the critical need for integrating RPA with AI for modern digital transformation.
- Concise and Efficient Learning: At 2.1 hours, offers impactful knowledge acquisition for busy professionals.
- Proven Quality and Popularity: 4.44/5 rating from over 10,000 students attests to high educational value and widespread appeal.
- Up-to-Date Content: March 2022 update ensures you learn the latest features and best practices.
- Practical Application Focus: Emphasizes hands-on learning, enabling immediate application of concepts to real-world challenges.
- Career Advancement Potential: Enhances resume for advanced roles in automation architecture and solution development.
CONS
- Potential for Limited Deep Dive: 2.1 hours for “Advanced” content covering “Complete Knowledge” might mean complex scenarios or advanced AI model customization receive high-level treatment, potentially requiring further self-study for specialized mastery.