Build an AI Chatbot with Python | Start-to-finish beginner friendly project walkthrough
In this video, Dataquest’s Director of Curriculum, Anna Strahl, will walk you through how to build an adaptive AI chatbot using Python and the OpenAI API.
You’ll step into the role of a developer at a tech startup and learn how to manage conversations, handle token limits, and craft dynamic chatbot personas that work across different platforms. By the end of the session, you’ll have a working chatbot and a stronger understanding of how AI-driven interactions function in real-world applications.
This project is ideal for learners with intermediate Python skills who want to deepen their understanding of APIs, chatbot logic, and practical prompt engineering.
What You'll Learn:
Chatbot Development: Build a chatbot framework with Python and the OpenAI API.
Conversation Management: Track and manage dialogue history, persona shifts, and token usage.
Prompt Engineering: Craft prompts that guide the chatbot’s tone and behavior.
Platform Readiness: Design chatbots adaptable to different user environments.
Recommended Prerequisites:
Prompting Large Language Models in Python → https://www.dataquest.io/course/promp...
Access the Project: https://www.dataquest.io/projects/gui...
See the walkthrough solution: https://github.com/acstrahl/chatbot_demo
Video chapters:
00:00:00 - Intro
00:01:57 - Importing libraries
00:05:49 - Connecting to the OpenAI API
00:07:24 - Creating a chat message
00:17:47 - Refactoring into a function
00:23:26 - Adding conversation history
00:32:05 - Adding token limits
00:42:11 - Next Steps
00:45:25 - Q&A
#PythonProject #openaitutorial #aichatbot