ChatGPT Prompt Engineering for Developers (DeepLearning.AI)

📌 What is this course?

A legendary free crash course co-created by Dr. Andrew Ng (Coursera co-founder, Stanford adjunct professor) and Isa Fulford (Technical Staff at OpenAI).

It transcends casual “chatting with AI” and teaches the two fundamental principles of programmatic prompt engineering: instructing clearly and giving models time to think.

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🎯 Who is this for?

• Developers with basic Python knowledge who want to build real software on top of LLM APIs.
• Anyone looking to understand the essential mechanics of Summarizing, Inferring, Transforming, and Expanding text.
• Engineers who want to build a custom interactive chatbot with system message management.

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📚 Key Curriculum Highlights

1. Two Core Guidelines:
   • Write clear and specific instructions (use delimiters, ask for structured outputs like HTML/JSON).
   • Give the model time to think (specify intermediate calculation steps).
2. Iterative Prompt Development: How to debug prompts systematically.
3. Core Application Archetypes:
   • Summarizing: Distilling product reviews into actionable feedback.
   • Inferring: Sentiment analysis and zero-shot entity extraction.
   • Transforming: Translation, grammar correction, and data format conversion.
   • Expanding: Generating personalized customer response emails.
4. Building a Chatbot: Maintaining conversation context and message history arrays.

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💡 Learning Tips

• Free Built-In Jupyter Lab: You do not need to register an OpenAI API key or set up local environments. DeepLearning.AI includes an interactive in-browser coding environment for free.