Microsoft Copilot for Data and AI
Build practical capability in using Microsoft Copilot across data and AI workflows through natural-language analysis, data preparation, model-assisted development, prompt design, insights, visualization, automation, responsible AI, security, governance, validation, and adoption through four…
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-by SkillDynamo
- 0 Students
- Last updated
Course Description
SkillDynamo’s Microsoft Copilot for Data and AI course develops practical, role-relevant capability in using Microsoft Copilot across data and AI workflows through natural-language analysis, data preparation, model-assisted development, prompt design, insights, visualization, automation, responsible AI, security, governance, validation, and adoption. 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. 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 copilot for data and ai concepts, use cases, data readiness, and responsible ai within Microsoft Copilot for Data and AI
- Configure, validate, and troubleshoot copilot for data and ai concepts, use cases, data readiness, and responsible ai using security, quality, governance, and operational controls
- Explain and apply prompt design, data exploration, preparation, analysis, and insight generation within Microsoft Copilot for Data and AI
- Configure, validate, and troubleshoot prompt design, data exploration, preparation, analysis, and insight generation using security, quality, governance, and operational controls
- Explain and apply ai-assisted development, visualization, automation, integration, and collaboration within Microsoft Copilot for Data and AI
- Configure, validate, and troubleshoot ai-assisted development, visualization, automation, integration, and collaboration using security, quality, governance, and operational controls
- Explain and apply security, governance, validation, troubleshooting, adoption, and value measurement within Microsoft Copilot for Data and AI
- Configure, validate, and troubleshoot security, governance, validation, troubleshooting, adoption, and value measurement using security, quality, governance, and operational controls
SkillDynamo Training Approach
SkillDynamo delivers this Microsoft Copilot for Data and AI 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.
Curriculum
- 1 Section
- 4 Lessons
- 16 Hours
- Course Curriculum4 Items
- 1.1Microsoft Copilot for Data and AI — Lesson 1: Copilot for Data and AI Concepts, Use Cases, Data Readiness, and Responsible AI240 Minutes
- 1.2Microsoft Copilot for Data and AI — Lesson 2: Prompt Design, Data Exploration, Preparation, Analysis, and Insight Generation240 Minutes
- 1.3Microsoft Copilot for Data and AI — Lesson 3: AI-Assisted Development, Visualization, Automation, Integration, and Collaboration240 Minutes
- 1.4Microsoft Copilot for Data and AI — Lesson 4: Security, Governance, Validation, Troubleshooting, Adoption, and Value Measurement240 Minutes
SkillDynamo Expert Team
Instructor-led delivery focused on Microsoft Copilot for Data and AI with practical demonstrations, guided implementation, scenario analysis, validation, troubleshooting, and role-relevant improvement planning.
- Structured explanations and course-specific demonstrations
- Hands-on exercises, solution reviews, and evidence-based validation
- Security, governance, troubleshooting, and workplace transfer guidance
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