Microsoft Course: Implement AI models with Microsoft Power Platform AI Builder
No-Code AI Mastery: Automate Workflows with Power Platform AI Builder
- Automate document workflows
- Enhance Power Apps
- Build predictive systems
- Streamline approvals
- Adopt no-code AI
- Build a base for specialized roles in AI development or cloud engineering
- Prepare for more advanced Microsoft certifications in AI
What you will learn
"Implement AI Models with Microsoft Power Platform AI Builder" is a 3-hour 12-minute hands-on course designed for business users and developers seeking to automate workflows using no-code AI solutions. The curriculum focuses on document processing automation, text recognition, and predictive modeling through AI Builder's prebuilt and customizable tools. Participants will learn to extract data from invoices, analyze unstructured text, and deploy AI-driven approval systems in Power Automate. Real-world scenarios, like building an invoice-to-email approval pipeline, bridge theory with practice, while integration guides for Power Apps demonstrate how to embed AI controls (e.g., sentiment analysis widgets) into business applications.
Microsoft's Implement AI models with Microsoft Power Platform AI Builder course Outline
Learn the Implement AI models with Microsoft Power Platform AI Builder
Tired of manual data entry and disjointed workflows? This 3-hour course unlocks the power of no-code AI with Microsoft Power Platform. Learn to automate invoice processing, predict business risks, and build smart apps that analyze text or documents in seconds. Perfect for finance teams, operations managers, or developers—master AI Builder's tools to slash processing time and boost accuracy. Transform your workflows today and join companies like Siemens who cut development cycles by 50% using these techniques.
Start your journey today:
Course Structure Includes:
- Module 1: Prebuilt document automation setup and configuration (23 min).
- Module 2: Custom document processing for unique business needs (32 min).
- Module 3: Embedding AI models (text analysis, predictions) into Power Apps (26 min).
- Module 4: Text recognition for OCR and multilingual data extraction (34 min).
- Module 5: Predictive modeling for risk assessment and trend forecasting (24 min).
- Module 6: Hands-on lab—build an invoice processing & email approval system (53 min).
Training Options
Self Paced Learning
- Lifelong access to high-quality content
- Curated by industry experts
- Customized learning progress
- 24/7 learner assistance and support
- Follow the latest technology trends
Exam Dump
- 100% Real Exam Practice Tests
- 100% Verified Exam Questions & Answers
- 100% Guarantee Passing Rate
- Average 7 Days to Practice & Pass
Description
Learn to automate document processing, deploy predictive models, and integrate AI into Power Apps—all without coding. Master AI Builder with real-world labs.
Pre-requisites
You should be familiar with the Microsoft Power Platform Environment Maker role, Power Platform apps, Power Automate cloud flows and Dataverse.
SPOTO Empowers You to Earn Your Certification.
Benefits of AWS Certified AI Practitioner Certification
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Advantages of Using SPOTO's Exam Preparation Materials
SPOTO's study resources provide comprehensive coverage of the exam syllabus, aligning with key topics like ML problem framing, data processing, model optimization, and pipeline automation. The materials include structured learning paths, practice exams, and real-world case studies that mirror the certification's focus on designing, implementing, and deploying machine learning solutions with Microsoft services and ML workflows. By leveraging SPOTO's targeted content, candidates can efficiently bridge knowledge gaps, reinforce practical skills, and gain familiarity with the exam format. This focused preparation increases confidence and readiness, particularly for complex tasks such as deploying CI/CD pipelines or optimizing model performance—areas emphasized in the certification. Combined with hands-on experience, SPOTO's resources offer a strategic advantage for achieving certification success.
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