Building Systems with the ChatGPT API (DeepLearning.AI)

You’ll build:

- Chains of prompts that interact with the completions of prior prompts.

- Systems where Python code interacts with both completions and new prompts.

- A customer service chatbot using all the techniques from this course.

You’ll learn how to apply these skills to practical scenarios, including classifying user queries to a chat agent’s response, evaluating user queries for safety, and processing tasks for chain-of-thought, multi-step reasoning.

This one-hour course, taught by Isa Fulford (OpenAI) and Andrew Ng (DeepLearning.AI), builds on the lessons taught in the popular ChatGPT Prompt Engineering for Developers, though it is not a prerequisite.

Hands-on examples make each concept easy to understand. Built-in Jupyter notebooks allow you to seamlessly experiment with the code and prompts presented in the course.

In collaboration with OpenAI

We are thrilled to offer this course with OpenAI to support developers wanting to grow their skills using generative AI tools. This course reflects the latest understanding of best practices for getting the best performance out of LLM models, and doing so in a responsible way.

Who should join?

Building Systems With The ChatGPT API is beginner-friendly. You only need a basic understanding of Python to be able to complete the course. This course is also suitable for intermediate or advanced machine learning engineers who want to learn cutting-edge prompt engineering skills for LLMs.