Artificial Intelligence in Power Platform
Build practical skills in applying AI Builder and Power Platform to document processing, prediction, language, vision, automation, governance, and responsible AI scenarios through four structured lessons with demonstrations, hands-on activities, troubleshooting, validation checklists, and an applied improvement plan.
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-by SkillDynamo
- 0 Students
- Last updated
Course Description
This SkillDynamo course develops practical, role-relevant capability in applying AI Builder and Power Platform to document processing, prediction, language, vision, automation, governance, and responsible AI scenarios. The learning path progresses from essential concepts and planning to implementation, validation, troubleshooting, and operational use.
Learners work through realistic scenarios, guided demonstrations, applied exercises, and evidence-based reviews. Every topic is connected to workplace responsibilities, common risks, quality controls, and measurable outcomes.
The course helps professionals make informed decisions, identify failure points, communicate results, and create an actionable improvement plan for future projects.
What You Will Learn
- Identify suitable AI scenarios, users, data, outcomes, confidence requirements, risks, and human review points
- Explain AI Builder, Dataverse, Power Apps, Power Automate, connectors, environments, and licensing considerations
- Prepare training and operational data for document, prediction, category, extraction, and vision models
- Create, train, evaluate, publish, and manage models with quality and acceptance criteria
- Use model outputs in applications, cloud flows, approvals, notifications, and exception workflows
- Handle confidence scores, missing data, retries, errors, security, and human validation
- Apply environment strategy, permissions, DLP, privacy, fairness, transparency, audit, and lifecycle controls
- Monitor usage, model quality, failures, drift, cost, support, and continuous improvement
SkillDynamo Training Approach
SkillDynamo delivers this course through demonstrations, hands-on exercises, scenario analysis, validation checklists, structured troubleshooting, solution reviews, and a final improvement plan. Learners repeatedly practice planning, implementation, evidence collection, testing, correction, and communication so the skills transfer confidently into real workplace situations.
Curriculum
- 1 Section
- 4 Lessons
- 16 Hours
- Course Curriculum4 Items
- 1.1Artificial Intelligence in Power Platform — Lesson 1: Power Platform AI Architecture and Use Cases4 hours
- 1.2Artificial Intelligence in Power Platform — Lesson 2: AI Builder Models and Data Preparation4 hours
- 1.3Artificial Intelligence in Power Platform — Lesson 3: Power Apps and Power Automate Integration4 hours
- 1.4Artificial Intelligence in Power Platform — Lesson 4: Governance, Responsible AI and Operations4 hours
SkillDynamo Expert Team
SkillDynamo instructors combine platform knowledge, practical implementation experience, guided demonstrations, scenario-based exercises, troubleshooting methods, and validation checklists to help learners apply the course skills confidently in real work.
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