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What is ChatGPT prompt engineering for developers?

This is a short online course that teaches developers how to write effective prompts for large language models like ChatGPT. Created by Isa Fulford from OpenAI and Andrew Ng from DeepLearning.AI, the course covers practical techniques for getting better results from LLMs, including how to structure requests, chain multiple API calls together, and build custom chatbot applications. The course is aimed at developers who want to move beyond basic prompt writing and understand the principles behind effective LLM interactions. It includes hands-on examples and real-world patterns you can apply to production workflows.

Key Features

Prompt engineering principles

learn foundational techniques for writing clear, specific instructions to LLMs

API interaction patterns

understand how to call LLM APIs effectively and chain multiple requests together

Practical code examples

access working code samples in Python that demonstrate the concepts taught

Custom chatbot development

learn how to build and deploy a simple chatbot application

Best practices and pitfalls

understand common mistakes and how to avoid them when working with LLMs

Text processing workflows

learn how to automate tasks like summarisation, extraction, and classification

Pros & Cons

Advantages

  • Taught by recognised experts in AI and machine learning with direct OpenAI involvement
  • Combines theory with practical, runnable code examples that work immediately
  • Relatively short course format means you can complete it in a few hours rather than weeks
  • Free access option removes financial barrier to learning these in-demand skills

Limitations

  • Focuses specifically on OpenAI models, so techniques may not transfer directly to other LLM providers
  • Course content may become outdated as language models and APIs evolve quickly
  • Limited depth on advanced topics like fine-tuning or working with very large-scale applications

Use Cases

Building customer support chatbots that handle common queries automatically

Automating content analysis and summarisation for large volumes of text

Creating workflows that extract structured data from unstructured documents

Developing internal tools that use LLMs to increase team productivity

Learning LLM fundamentals before investing in larger ML projects