This course was inspired by Anthropic's Prompt Engineering Interactive Tutorial and is intended to provide you with a comprehensive step-by-step understanding of how to engineer optimal prompts within Ollama using the 'qwen2.5:14b' model.
After completing this course, you will be able to:
- Master the basic structure of a good prompt
- Recognize common failure modes and learn how to address them
- Build strong prompts from scratch for common use cases
This course is structured to allow you many chances to practice writing and troubleshooting prompts yourself. The course is broken up into 9 chapters with accompanying exercises, as well as an appendix of even more advanced methods. It is intended for you to work through the course in chapter order.
Each lesson has an "Example Playground" area at the bottom where you are free to experiment with the examples in the lesson and see for yourself how changing prompts can change Ollama's responses.
Note: This tutorial uses Qwen 2.5 14B model. If this is too large for your hardware, you can try the Qwen 2.5 7B model which is smaller and faster.
When you are ready to begin, go to 01_Basic Prompt Structure to proceed.
Each chapter consists of a lesson and a set of exercises.
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Chapter 1: Basic Prompt Structure
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Chapter 2: Being Clear and Direct
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Chapter 3: Assigning Roles
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Chapter 4: Separating Data from Instructions
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Chapter 5: Formatting Output & Speaking for Ollama
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Chapter 6: Precognition (Thinking Step by Step)
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Chapter 7: Using Examples
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Chapter 8: Avoiding Hallucinations
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Chapter 9: Building Complex Prompts (Industry Use Cases)
- Complex Prompts from Scratch - Chatbot
- Complex Prompts for Legal Services
- Exercise: Complex Prompts for Financial Services
- Exercise: Complex Prompts for Coding
- Congratulations & Next Steps
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Appendix: Beyond Standard Prompting
- Chaining Prompts
- Tool Use
- Search & Retrieval