In the course "ChatGPT Prompt Engineering for Developers," you'll learn how to use a large language model (LLM) to create powerful applications quickly. By using the OpenAI API, you can build innovative solutions that were previously too expensive, technical, or impossible. Taught by Isa Fulford (OpenAI) and Andrew Ng (DeepLearning.AI), this short course covers how LLMs work, best practices for prompt engineering, and how to use LLM APIs for various tasks like:
- Summarizing content (e.g., making user reviews concise)
- Inferring information (e.g., sentiment analysis, topic extraction)
- Transforming text (e.g., translation, grammar correction)
- Expanding content (e.g., writing emails automatically)
You'll also learn two key principles for effective prompts, systematic prompt engineering techniques, and how to build a custom chatbot. The course includes many examples and hands-on activities in a Jupyter notebook environment to help you practice prompt engineering.
Who should join?
"ChatGPT Prompt Engineering for Developers" is designed for beginners, requiring only a basic understanding of Python. It's also ideal for advanced machine learning engineers looking to explore the latest advancements in prompt engineering and leverage LLMs.
Key Take Away
- Learn prompt engineering best practices for application development
- Discover new ways to use LLMs, including how to build your own custom chatbot
- Gain hands-on practice writing and iterating on prompts yourself using the OpenAI API
Click the below link to explore ChatGPT Prompt Engineering for Developers
https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/
Click the below link to buy the book Learn Python Generative AI
Click the below link to buy the book Learn Python Generative AI
Click the below link to buy Prompt Engineering
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