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ChatGPT Prompt Engineering for Developers

ChatGPT Prompt Engineering for Developers is a beginner-friendly course that teaches the fundamentals of prompt engineering. Learn how to use LLMs for tasks like summarizing, inferring, transforming, and expanding text, with hands-on practice using the OpenAI API.

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ChatGPT Prompt Engineering for Developers screenshot

ChatGPT Prompt Engineering for Developers is a comprehensive course designed to teach developers the fundamentals of prompt engineering using large language models (LLMs). This course, offered by DeepLearning.AI in collaboration with OpenAI, is taught by Isa Fulford and Andrew Ng. It provides a detailed understanding of how LLMs work and how they can be used to build powerful applications quickly and efficiently.

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The course covers best practices for prompt engineering and demonstrates how LLM APIs can be utilized for a variety of tasks, including summarizing user reviews, inferring sentiment or topics, transforming text through translation or grammar correction, and expanding text by automatically writing emails. Participants will learn to write and iterate on prompts using the OpenAI API, gaining hands-on experience in a Jupyter notebook environment.

This course is suitable for beginners with a basic understanding of Python, as well as advanced machine learning engineers looking to explore the cutting-edge of prompt engineering. It includes 9 video lessons, 7 code examples, and 1 graded assignment, with a total duration of 1 hour and 40 minutes. The course is currently free for a limited time during the DeepLearning.AI platform beta.

By the end of the course, participants will have learned two key principles for writing effective prompts and how to systematically engineer good prompts. They will also gain the skills to build a custom chatbot, leveraging the latest LLM models to create innovative applications that were previously cost-prohibitive or technically challenging.

  • CategoryEducation & Research
  • Pricing ModelFree

  • Learn prompt engineering best practices

  • Build custom chatbots using LLMs

  • Hands-on practice with OpenAI API

  • Summarizing user reviews

  • Inferring sentiment and topics

  • Transforming text with translation

  • Expanding text by writing emails

  • Course taught by Isa Fulford and Andrew Ng

  • Beginner-friendly with Python knowledge

  • Free access during platform beta

  1. Learn: Watch video lessons

  2. Practice: Use code examples

  3. Apply: Complete graded assignment

  4. Build: Create custom chatbots

  • Summarizing
  • Inferring
  • Transforming
  • Expanding
  • Custom Chatbots

ChatGPT Prompt Engineering for Developers Reviews

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