Workshop Format

Highly interactive with constant practice. Every technique is followed by hands-on exercises using real work examples.

Typical Structure (Half Day)

• How LLMs interpret prompts (30 mins)
• Core techniques with exercises (60 mins)
• Break
• Advanced techniques with exercises (60 mins)
• Building your prompt library (30 mins)

Full Day Option

Adds deeper coverage of advanced techniques, more practice time, and a session on building and documenting team prompt libraries.

Delivery Options

• Virtual workshops: Work well with screen sharing and breakout exercises
• In-person workshops: Higher engagement for intensive practice

Materials

Participants receive a prompt engineering guide and template library to reference after training.

Tool-Agnostic + Copilot-Specific

Core techniques work across AI tools (ChatGPT, Claude, Copilot, etc.). We also cover Copilot-specific patterns for M365 integration.

This Training Is For

• Anyone who uses AI tools regularly and wants better results
• Power users who've hit the limits of basic prompting
• Teams developing AI solutions who need robust prompts
• Trainers and champions who'll support others

Common Pain Points

• AI outputs that aren't quite right but you're not sure how to fix them
• Inconsistent results from similar prompts
• Not knowing why some prompts work better than others
• Spending too long iterating to get usable output

Training Outcomes

You'll understand why AI responds the way it does, have a toolkit of techniques to apply systematically, and be able to write, evaluate, and improve prompts confidently.

The Most Transferable AI Skill

Prompt engineering works across all AI tools — current and future. It's the foundational skill that makes everything else more effective.