Advanced Prompt Engineering for Microsoft Copilot: Unlocking Enterprise-Grade AI Output Quality
Enhance your AI output quality with expert-level prompt engineering techniques for Microsoft Copilot.
Course Guaranteed to Run
Course guaranteed to run. If only one participant registers, the course is converted into private flexible 1-to-1 training and consulting.
Why This Course Matters
THE BUSINESS PROBLEM WE SOLVE
Most Copilot users are getting 20–30% of what the tool can deliver. The gap is not the technology — it is the quality of their prompts. This course closes that gap systematically. Participants move from mediocre, generic outputs to precise, enterprise-grade results through mastery of prompt engineering principles and patterns.
THE DANAF SIGNATURE LEARNING JOURNEY
PHASE 1 — DISCOVER
We start with a live "bad prompt vs. expert prompt" comparison across 5 business tasks. The output quality gap is visible and striking. Participants immediately understand what separates a functional prompt from a transformative one — and commit to the full 2-day journey to master the difference.
PHASE 2 — APPLY
Eight progressive labs take participants through every major prompt pattern: zero-shot, few-shot, chain-of-thought, role-based, iterative refinement, and multi-step chaining. Each lab includes a scored output comparison so participants can objectively measure their prompt quality improvement. By Day 2, participants are running a cross-application prompt engineering challenge.
PHASE 3 — TRANSFORM
Participants leave as their organisation's prompt engineering authority. They build a complete enterprise prompt library, design a prompt governance policy, and receive DanAf's Prompt Quality Scorecard — a tool they can use to evaluate and coach prompt quality across their organisation post-training.
Who Should Attend
What You Will Be Able to Do
- Identify the four components of an effective Copilot prompt (Goal, Context, Expectations, Source/Format)
- Apply advanced prompt patterns including zero-shot, few-shot, chain-of-thought, role-based, and iterative refinement techniques
- Analyse prompt output quality using structured evaluation criteria and identify root causes of poor results
- Configure Copilot extensibility features including plugins, Graph connectors, and declarative agents to extend Copilot's capabilities
- Build reusable, governed prompt libraries for organisational use — including naming conventions, versioning, and quality testing protocols
- Evaluate prompt governance frameworks and design an enterprise prompt policy aligned to organisational AI governance requirements
- Optimise Copilot output quality across different applications (Word, Excel, Teams, Outlook, PowerPoint, Copilot Chat) using application-specific prompt strategies.
Programme
Practical Exercises & Labs
- Review and revise poorly performing prompts.
- Apply core prompt patterns to a business task.
- Build a 5-step chain-of-thought prompting strategy.
- Create an enterprise prompt library with documentation.
- Design a governance policy for prompts in a fictional enterprise.
Practical Deliverables
Teaching Methods
Certification & Exam Alignment
Certification alignment: Applied Skills: Extend M365 Copilot with Copilot Studio AB-620 AI Agent Builder Associate (beta 2026)
Participants receive readiness support for the certification aligned with this course.
The exam is not automatically included unless explicitly stated. The exam may be administered independently by the relevant certification body or testing provider.
Prerequisites
Assessment
Delivery Options
Upcoming Sessions
No upcoming sessions scheduled.
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FAQ
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