ChatGPT Prompt Engineering for Developers

About The Course

Course Description: The course provides an in-depth exploration of how to utilize large language models (LLMs) to rapidly create innovative applications. Leveraging the OpenAI API, participants will discover how to develop capabilities that unlock new possibilities in ways that were previously cost-prohibitive or technically challenging.

Led by industry experts Isa Fulford (OpenAI) and Andrew Ng (DeepLearning.AI), the course covers the fundamentals of LLM functionality, best practices for effective prompt engineering, and practical applications of LLM APIs across a variety of tasks, including:

- Summarizing: Effectively condensing user reviews.
- Inferring: Conducting sentiment classification and topic extraction.
- Transforming Text: Implementing translation and correcting spelling and grammar.
- Expanding: Automatically generating written content, such as emails.

  • Name: ChatGPT Prompt Engineering for Developers
  • Offered By: DeepLearning.AI
  • Instructors: Isa Fulford, Andrew Ng
  • Course website: DeeplearningAI

Skills and Insights Gained

I gained a comprehensive understanding of how to leverage large language models (LLMs) to build innovative applications using the OpenAI API. I learned the foundational principles behind LLMs, enabling me to understand their functionality and potential applications.

The course emphasized best practices for prompt engineering, teaching me how to craft effective prompts for various tasks such as summarizing user reviews, inferring sentiment, translating text, and generating written content. I explored systematic approaches to engineering prompts and developed the skills necessary to build a custom chatbot tailored to specific user needs. chatbots that respond to queries using external datasets. I learned how to efficiently load, split, and manage diverse data sources, including audio and video, by using LangChain’s extensive set of data loaders.