How to Prompt Like a Pro: Master AI for Business Innovation

Welcome to the training hub for "How to Prompt Like a Pro" - an O'Reilly Live Learning course that teaches business professionals how to extract maximum value from AI tools like ChatGPT, Claude, Microsoft 365 Copilot, and Google Gemini. Master the art of prompt engineering to accelerate innovation, productivity, and decision-making.

👉 New to prompting? Start with our Core Prompting Guide! 📋 Looking for frameworks? Check out our Prompt Frameworks Library!

Last updated: October 2025

📬 Contact Information

📆 Course Plan Overview

This live training is structured into 4 segments, each approximately 50 minutes:

Core Prompting Skills for Reliable AI Results
- Essential prompt-writing techniques proven across industries
- Common prompt pitfalls and how to avoid them
- Evergreen, reusable prompt recipes for immediate improvement
Multimodal Prompting—Beyond Text
- Effective prompts for ChatGPT Vision, Sora, and Midjourney
- Quick-win visual prompting formulas
- Applications for presentations, marketing, medical imagery, and legal visuals
AI Notebooks for Better Insights and Decisions
- NotebookLM, ChatGPT, and Claude workflows
- Prompting for clearer analysis and reporting
- Hands-on notebook techniques for business contexts
Advanced Prompting and Agentic AI
- Automation with GitHub Copilot, Cursor, Windsurf, and Cline
- RAG and Model Context Protocol (MCP) implementation
- Strategies for reliable, hallucination-free results

💡 Each segment includes interactive Q&A and hands-on demonstrations!

⚖️ Warner's Laws of Generative AI Prompting

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 integating test prompts.
Each LLM (and vendor) has its own priorities and personality.
Expect breaking changes. Stay agile, adaptable, and be an eternal learner.

🎯 Learning Outcomes

What You'll Understand

How prompt engineering directly improves your business outcomes with AI
Which prompt-writing techniques deliver the best results in real-world tasks
How to avoid common prompt pitfalls that waste time or limit usefulness

What You'll Be Able to Do

Write clear, useful prompts quickly and confidently
Improve the accuracy and reliability of AI-generated business content
Integrate effective prompt practices into your daily work using the best tools for the job

👥 Who Should Attend

Business professionals seeking more practical value from AI
Regular users of AI tools for writing, analysis, marketing, or management
Anyone who needs straightforward strategies to improve AI-generated results immediately
No coding or deep technical background required!

🚀 The Good Stuff: Essential Resources

Core Materials

Real-World Prompting Examples
Prompting Frameworks and Templates
DAIR.AI Prompting Introduction
DAIR.AI Advanced Prompts
OpenAI Reliability Techniques

Segment Resources

Segment 1: Core Prompting
Segment 2: Multimodal Prompting
Segment 3: AI Notebooks
Segment 4: Agentic AI & MCP

🛠️ Course Setup & Prerequisites

Basic Requirements

Internet connection
Google account (for free AI service signups)
ChatGPT free account (required)
Basic familiarity with tools like ChatGPT or Bing Chat

Optional Accounts for Full Experience

Google Gemini
NotebookLM
Claude
Midjourney
Microsoft 365 Copilot (if available through your organization)

For Advanced Segment (MCP)

GitHub account
Azure subscription (free tier OK)
VS Code with GitHub Copilot
Node.js 20+ or Python 3.11+

📚 Prompting Frameworks Quick Reference

CRAFT Framework

Context, Role, Action, Format, Tone

Template: "You are a {role}. {Action}. Respond in {format} with a {tone} tone. Context: {context}."

CLEAR Framework

Context, Length, Examples, Answer format, Refine

Template: "Given {context}, provide {answer format} in about {length}. Examples: {examples}."

RAPID Framework

Role, Action, Parameters, Input data, Desired format

Template: "You are a {role}. Using {input data}, {action}. Parameters: {parameters}."

View all frameworks →

🎓 Recommended Preparation

Books

Quick Start Guide to Large Language Models by Sinan Ozdemir
The AI Revolution in Medicine: GPT-4 and Beyond

Follow-up Resources

💡 Best Practices for Business Prompting

The Golden Rules

Start simple - Complex prompts often fail more than simple ones
Be specific - Vague prompts get vague results
Use examples - Few-shot prompting is incredibly powerful
Test iteratively - Small changes can have big impacts
Context is king - Provide relevant background information

Industry-Specific Tips

For Marketing & Content

Include target audience details
Specify tone and brand voice
Provide successful examples

For Analysis & Reporting

Define metrics clearly
Request structured outputs
Ask for reasoning steps

For Healthcare & Legal

Emphasize accuracy requirements
Request citations when applicable
Include compliance considerations

🔧 AI Tools Covered

Primary Tools (Hands-on Demos)

ChatGPT - OpenAI's conversational AI
Microsoft 365 Copilot - AI integrated into Office apps
Google Gemini - Google's multimodal AI
Claude - Anthropic's helpful assistant

Visual AI Tools

ChatGPT Vision - Image understanding
Midjourney - Creative image generation
DALL-E - OpenAI's image creator
Sora - Video generation (when available)

Developer Tools (Segment 4)

GitHub Copilot - AI pair programming
Cursor - AI-powered code editor
Windsurf - Next-gen development
Cline - Autonomous coding agent

Specialized Platforms

NotebookLM - Google's research assistant
Perplexity - AI-powered search
Azure OpenAI - Enterprise AI platform

🚀 Advanced Topics: Model Context Protocol (MCP)

What is MCP?

Model Context Protocol is the production-ready solution adopted by Anthropic and Microsoft for persistent AI memory. In Segment 4, you'll learn:

How to deploy MCP servers on Azure
Connecting AI tools to GitHub for long-term memory
Building enterprise-grade memory systems
Multi-agent orchestration patterns

MCP Resources

MCP Course Proposal
Anthropic MCP Documentation
GitHub Repository: timothywarner-org/context-engineering

🎯 Quick Start Exercises

Exercise 1: Your First Professional Prompt

Role: You are a business analyst
Task: Summarize the following data
Format: Executive summary with 3 key insights
Tone: Professional and concise
Data: [Your data here]

Exercise 2: Multimodal Marketing

Create a social media campaign for [product].
Include:
- 3 image prompts for Midjourney
- 5 post captions
- Optimal posting schedule
Target audience: [Your audience]

Exercise 3: Analysis with NotebookLM

Upload your documents to NotebookLM
Ask: "What are the top 3 trends in this data?"
Request: "Create an FAQ based on this content"
Generate: "Build a study guide from these materials"

📱 Community & Support

AI Communities

Learning Resources

Tim's Resources

🛡️ Ethical AI & Best Practices

Responsible AI Use

Always verify AI-generated content for accuracy
Respect intellectual property and attribution
Consider bias in AI responses
Protect sensitive data - never share PII with AI

Business Considerations

Establish AI usage policies for your organization
Document AI-assisted work appropriately
Understand your tools' data retention policies
Consider compliance requirements (GDPR, HIPAA, etc.)

📊 Measuring Success

Key Performance Indicators

Time saved on content creation and analysis
Quality improvement in outputs
Consistency across team deliverables
Innovation in problem-solving approaches

Success Stories

Marketing teams reducing campaign creation time by 60%
Analysts producing reports 3x faster
Customer service improving response quality scores by 40%
Legal teams accelerating document review by 50%

🎬 Course Wrap-up Resources

Your Toolkit

After completing this course, you'll have:

✅ Prompt templates for common business tasks
✅ Framework cheat sheets for quick reference
✅ Industry-specific prompt examples
✅ MCP implementation templates (Segment 4)
✅ Best practices documentation

Next Steps

Practice daily - Use AI tools in your regular workflow
Experiment - Try new prompting techniques
Share - Teach colleagues what you've learned
Stay updated - AI capabilities evolve rapidly

📄 License & Contributing

This project is licensed under the MIT License.

Contributing

Please see CONTRIBUTING.md for guidelines on how to contribute.

Code of Conduct

Participation in this project is governed by the Code of Conduct.

This course repository is actively maintained and updated with the latest AI prompting techniques and tools. For questions, suggestions, or corrections, feel free to reach out via the contact information above.

Ready to prompt like a pro? Let's transform how you work with AI! 🚀

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