Building Systems with the ChatGPT API (Coursera)

You’ll build:

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

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

3. 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.

What you'll learn

- Efficiently build multi-step systems using large language models.

- Learn to split complex tasks into a pipeline of subtasks using multistage prompts.

- Evaluate your LLM inputs and outputs for safety, accuracy, and relevance.