Apps and SaaS
ChatGPT prompt engineering for developers
Learn the fundamentals of prompt engineering for ChatGPT. Learn effective prompting, and how to use LLMs for summarizing, inferring, transforming, and expanding.
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From the listing
About ChatGPT prompt engineering for developers
A short course from DeepLearning.AI that teaches developers how to engineer prompts for ChatGPT. It covers effective prompting techniques and how to use LLMs for summarizing, inferring, transforming, and expanding text.
Best for
Developers new to LLMs who want a structured, hands-on introduction to prompt engineering
Use cases
- Learning to craft precise prompts for code generation and debugging
- Building applications that summarize or transform text via LLMs
- Understanding how to structure prompts for inference and expansion tasks
Pros
- Taught by Andrew Ng and OpenAI researchers, providing authoritative guidance
- Concise and practical, focusing on developer-relevant use cases
- Free to audit, making it accessible for self-paced learning
Cons
- Assumes basic familiarity with Python and APIs, not for complete beginners
- Limited depth; covers fundamentals rather than advanced optimization
- Course content may become outdated as LLM capabilities evolve rapidly
Key facts
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Sources
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Changelog
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f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.
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Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Get the free Developer’s Field Guide
A 27-page field guide to the AI coding workflow with Claude. Claude Code, MCP servers, the prompt patterns that work, and what to delegate. Free.
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