Smart Agents for Microsoft Fabric – Copilot and AI Skill

Course Description

This SkillDynamo course develops practical, role-relevant capability in creating smart agents for Microsoft Fabric with Copilot, AI skills, governed data grounding, actions, testing, and deployment. 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

• Define user needs, decisions, data sources, agent boundaries, expected responses, risks, and success measures
• Map Fabric workspaces, OneLake data, semantic models, AI skills, Copilot, identity, and permissions
• Prepare governed data, metadata, relationships, instructions, examples, and retrieval context
• Configure AI skills and validate grounding, relevance, permissions, lineage, and response evidence
• Design prompts, conversation flows, clarification, actions, error handling, and human approval
• Test normal, ambiguous, unauthorized, unsafe, incomplete, and failure scenarios
• Apply publishing, access, monitoring, audit, privacy, responsible AI, support, and lifecycle controls
• Measure response quality, adoption, risk, business impact, cost, and improvement priorities

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.