An O'Reilly Live Learning course teaching business professionals how to extract maximum value from AI tools like Microsoft 365 Copilot, ChatGPT, Claude, and Google Gemini.
Last updated: December 2025
| # | Segment | Duration | Key Topics |
|---|---|---|---|
| 1 | Core Prompting & Context Engineering | 50 min | CRAFT/CLEAR frameworks, context engineering stack, with/without context scenarios |
| 2 | Multimodal Prompting & AI-Assisted Coding | 50 min | Imagen 3, DALL-E 3, vision analysis, GitHub Copilot instruction files |
| 3 | AI Workspaces & Custom Assistants | 50 min | M365 Notebooks, ChatGPT Projects, Gemini Gems, Custom GPTs, M365 Agents |
| 4 | Agentic AI & Autonomous Coding | 50 min | Claude Code, GitHub Copilot Coding Agent, Copilot Studio, MCP |
- You are the pilot; the AI is your co-pilot. You're responsible for its actions.
- Always know who you're signed in as and who you're chatting with.
- The more you disclose about yourself in trust, the more the AI can help you.
- Anything you leave out of your prompt will be inferred by the AI.
- Role play like you're a director.
- Don't swallow the elephant—break down complex tasks with the AI.
- Surgically sculpt your context. Just because you can doesn't mean you should.
- Always have a trusted LLM to cross-reference responses.
- Strike while the iron's hot.
- Every AI chat has its own lifecycle; develop your "prompt smell."
- If you need to remind the AI of something, add it to custom instructions.
- Periodically refactor your custom instructions and memories.
- Think meta: Prompt about prompting and custom instructions.
- Use your voice if using your words is difficult.
- Pick up a good book on technical writing essentials.
- Protect your LLM against abuse by integrating test prompts.
- Each LLM (and vendor) has its own priorities and personality.
- Expect breaking changes. Stay agile, adaptable, and be an eternal learner.
| Prompt Engineering | Context Engineering |
|---|---|
| Focus on what to say | Focus on what the model knows |
| One-off interactions | System-wide reliability |
| Phrasing and examples | Everything in the context window |
Key Insight: Most AI failures aren't model failures—they're context failures.
- Microsoft 365 Copilot — Notebooks, Agents, enterprise integration
- ChatGPT — Projects, Custom GPTs, DALL-E 3, Vision
- Google Gemini — Gems, Imagen 3, 1M+ token context
- Claude — Projects, long-form analysis, Claude Code
- Claude Code — Terminal-based autonomous coding with checkpoints
- GitHub Copilot Coding Agent — Issue-to-PR cloud automation
- M365 Copilot Studio — Enterprise multi-agent orchestration
- Internet connection
- ChatGPT free account
- Google account
- Microsoft 365 Copilot license
- Claude Pro
- GitHub Copilot subscription
- VS Code
Context: [situation]
Role: You are a [role]
Action: [task]
Format: [output format]
Tone: [voice/style]
Context: I'm preparing a quarterly business review for my VP.
Role: You are a senior business analyst.
Action: Analyze this sales data and identify the top 3 trends.
Format: Executive summary with bullet points, max 200 words.
Tone: Professional and data-driven.
docs/ # Reference guides + slide deck
images/ # Cover art, social preview assets
segments/
├─ segment-1-core-prompting/ # Frameworks, scenarios, platform tips
├─ segment-2-multimodal-prompting/ # Image gen, vision, Copilot config
├─ segment-3-ai-notebooks/ # Workspaces, custom assistants
└─ segment-4-agentic-ai/ # Claude Code, agents, MCP demos
.github/ # Issue templates, workflows, AI instructions
For instructors: See INSTRUCTOR-MANIFEST.md for delivery guide.
For agents: Review AGENTS.md and CLAUDE.md before editing lessons.
- Anthropic Context Engineering Guide
- OpenAI Prompt Engineering Guide
- GitHub Copilot Custom Instructions
- MCP Specification
Licensed under MIT. See CONTRIBUTING.md for guidelines and AGENTS.md for the agent-focused repository playbook.
Participation in this project is governed by the Code of Conduct.
Found a vulnerability or risky prompt scenario? Follow the disclosure steps in SECURITY.md or email Tim directly at tim@techtrainertim.com.
- AGENTS.md - Contributor playbook
- CLAUDE.md - Copilot instructions
- INSTRUCTOR-MANIFEST.md - Run-of-show notes
- markdownlint.json & Markdownlint workflow - spacing rules + one-click lint/autofix
Ready to prompt like a pro? Let's transform how you work with AI!