AI Builder for Power Platform

Course Description

SkillDynamo’s AI Builder for Power Platform course develops practical, role-relevant capability in building, integrating, administering, and governing AI Builder solutions across Power Apps and Power Automate. The learning path progresses from essential concepts and planning to implementation, validation, troubleshooting, and operational use.

Learners work through realistic scenarios, instructor-led demonstrations, applied exercises, and evidence-based reviews. Each topic is connected to workplace responsibilities, common risks, quality controls, secure working practices, and measurable outcomes.

The content is independently written for SkillDynamo using the supplied source page as the title, update-date, duration, and topic-alignment reference. Learners finish with an applied scenario, documented validation evidence, and a prioritized improvement plan.

What You Will Learn

• Explain and apply AI Builder architecture and capabilities, licensing, capacity, and environments, prebuilt versus custom model selection, business value, risk, and acceptance criteria within AI Builder for Power Platform.
• Configure, validate, and troubleshoot AI Builder architecture and capabilities, licensing, capacity, and environments, prebuilt versus custom model selection, business value, risk, and acceptance criteria using security, quality, governance, and operational controls.
• Explain and apply document, prediction, text, and vision models, data preparation and labeling, training, testing, confidence scores, and human review, model publishing and version control within AI Builder for Power Platform.
• Configure, validate, and troubleshoot document, prediction, text, and vision models, data preparation and labeling, training, testing, confidence scores, and human review, model publishing and version control using security, quality, governance, and operational controls.
• Explain and apply using AI Builder in canvas and model-driven apps, automated document and prediction workflows, connectors, approvals, exception handling, and notifications, Azure Machine Learning integration patterns within AI Builder for Power Platform.
• Configure, validate, and troubleshoot using AI Builder in canvas and model-driven apps, automated document and prediction workflows, connectors, approvals, exception handling, and notifications, Azure Machine Learning integration patterns using security, quality, governance, and operational controls.
• Explain and apply roles, permissions, data protection, and environment strategy, capacity monitoring and operational analytics, solution packaging, deployment, and change control, troubleshooting, governance, and improvement planning within AI Builder for Power Platform.
• Configure, validate, and troubleshoot roles, permissions, data protection, and environment strategy, capacity monitoring and operational analytics, solution packaging, deployment, and change control, troubleshooting, governance, and improvement planning using security, quality, governance, and operational controls.

SkillDynamo Training Approach

SkillDynamo delivers this course through instructor-led 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, documentation, and communication so the skills transfer confidently into real workplace situations.