ChatGPT Prompt Engineering for Developers
Dive deep into the principles and best practices of prompt engineering to leverage powerful language models like ChatGPT to solve real-world problems.
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Course Description
Maximize AI Applications Through Effective Prompt Engineering
ChatGPT is a powerful language model that can generate human-like text for different applications. However, it is only as good as the prompts you provide. You need to know how to write effective prompts, and this is where prompt engineering comes in. Prompt engineering is carefully designing and crafting prompts to elicit desired responses from language models. It's an essential skill needed to use language models to their full potential. In this course, you'll dive deep into the principles and best practices of prompt engineering.Take Your Prompt Engineering Skills To The Next Level
Prompt engineering is an emerging field that is essential in today's world. You'll learn to work with different prompts and select the ideal one for each task. Through practical exercises using the OpenAI API in Python, you'll gain hands-on experience crafting effective prompts specifically tailored for ChatGPT.Solve Real-World Business Problems
Once you master prompt engineering, every problem becomes "one prompt away" from being solved. By the end of this course, you'll have the skills and knowledge needed to write effective prompts for ChatGPT to solve various real-world problems and business applications.Training 2 or more people?
Get your team access to the full DataCamp platform, including all the features.In the following Tracks
Associate AI Engineer for Developers
Go To TrackDeveloping AI Applications
Go To TrackOpenAI Fundamentals
Go To Track- 1
Introduction to Prompt Engineering Best Practices
FreeMaster the art of crafting effective prompts, designing structured outputs, and implementing intelligent conditional prompts to revolutionize your applications. Delve into the core principles and best practices of prompt engineering for unparalleled success in artificial intelligence.
Introduction to prompt engineering50 xpOpenAI API message roles100 xpCreating the get_response() function100 xpExploring prompt engineering100 xpKey principles of prompt engineering50 xpIs this prompt effective?100 xpUsing delimited prompts with f-strings100 xpBuilding specific and precise prompts100 xpStructured outputs and conditional prompts50 xpGenerating a table100 xpCustomizing output format100 xpUsing conditional prompts100 xp - 2
Advanced Prompt Engineering Strategies
Discover advanced techniques for prompt engineering, empowering you to design more effective and precise prompts for language models. Learn how to iteratively refine prompts through experimentation and analysis, ensuring more accurate and meaningful outputs.
Few-shot prompting50 xpZero-shot, one-shot, and few-shot prompting100 xpControlling output structure100 xpSentiment analysis with few-shot prompting100 xpMulti-step prompting50 xpSingle-step prompt to plan a trip100 xpMulti-step prompt to plan a trip100 xpAnalyze solution correctness100 xpChain-of-thought and self-consistency prompting50 xpReasoning with chain-of-thought prompts100 xpOne-shot chain-of-thought prompts100 xpSelf-consistency prompts100 xpIterative prompt engineering and refinement50 xpIterative prompt engineering process100 xpIterative prompt engineering for standard prompts100 xpIterative prompt engineering for few-shot prompts100 xp - 3
Prompt Engineering for Business Applications
Dive into the strategic integration of prompt engineering techniques in real-world business applications. Uncover the art of tailoring language models to serve the dynamic needs of the business world, thereby driving innovation, streamlining operations, and enabling informed decisions in the rapidly evolving landscape of AI-powered business solutions.
Text summarization and expansion50 xpMarket research report summarization100 xpProduct features summarization100 xpProduct description expansion100 xpText transformation50 xpTranslation for multilingual communication100 xpTone adjustment for email marketing100 xpWriting improvement100 xpText analysis50 xpCustomer support ticket routing100 xpCustomer support ticket analysis100 xpCode generation and explanation50 xpCode generation with problem description100 xpInput-output examples for code generation100 xpModifying code with multi-step prompts100 xpExplaining code step by step100 xp - 4
Prompt Engineering for Chatbot Development
Explore the realm of chatbot development with effective prompt engineering strategies. Immerse yourself in the intricacies of system prompts, role-playing prompts, and the seamless integration of context, thus enabling your chatbots to engage users with heightened effectiveness and naturalness.
Prompt engineering for chatbot development50 xpCreating a dual-prompt get_response() function100 xpCustomer support chatbot100 xpBehavioral control of a customer support chatbot100 xpRole-playing prompts for chatbots50 xpLearning advisor chatbot100 xpAdding guidelines for the learning advisor chatbot100 xpIncorporating external context50 xpProviding context through sample conversations100 xpProviding context through system prompt100 xpCongratulations50 xp
Training 2 or more people?
Get your team access to the full DataCamp platform, including all the features.In the following Tracks
Associate AI Engineer for Developers
Go To TrackDeveloping AI Applications
Go To TrackOpenAI Fundamentals
Go To Trackcollaborators
audio recorded by
prerequisites
Working with the OpenAI API
Fouad TradMachine Learning Engineer
Fouad is an experienced ML engineer, researcher, and educator, currently pursuing a Ph.D. in applied ML, with a focus on cybersecurity applications. His talent lies in simplifying complex data science concepts, making them accessible to everyone.
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