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Build an AI Customer Service Chatbot with Python
Rating: 4.1 out of 5(26 ratings)
2,069 students

Build an AI Customer Service Chatbot with Python

Use DeepSeek's API, Gradio, & PyPDF to create a ChatGPT-like assistant that answers questions based on your PDF files
Created byAly Dawood
Last updated 9/2025
English
English [Auto],

What you'll learn

  • Building AI Agents
  • Build AI Agents Using Python and DeepSeek
  • Learn Basics of Gradio
  • Authentication Procedure for DeepSeek API Access

Explore related topics

Course content

3 sections • 7 lectures • 48m total length

  • Welcome & Overview3:24

    Build a practical ai customer service chatbot that reads pdf documents, authenticates with the Deep Seek API, and delivers a 24/7 shareable web interface.

  • Application Demonstration3:02

    Watch an AI customer service bot trained on Maple Mobile's PDFs of service plans and FAQs, answering Maple Mobile questions and troubleshooting while providing Spanish responses.

  • What is DeepSeek?2:00

    examine Deepsea, a Chinese AI company building open weight large language models for text generation, coding, and reasoning. learn about deep sea v2 and v3, 120k context, and multimodal capabilities.

  • Acquiring Access Credentials for DeepSeek API2:42

    Obtain an API key for IPsec by logging in with Google, top up with a payment method, then create, name, and securely store the key, which cannot be retrieved later.

  • Python Virtual Environment4:27

    Set up a Python virtual environment to create an isolated workspace and manage dependencies. Activate the environment to use its own interpreter and packages, avoiding global installs.

Requirements

  • You Must Know Python

Description

Course Description

Welcome to the definitive course on building a practical, powerful, and professional AI customer service agent! In today's digital world, businesses need to provide instant, 24/7 support. This project-based course will teach you how to build your own AI chatbot that answers complex customer questions by intelligently reading your company's PDF documents, like policy guides, FAQ sheets, and product catalogs.

Go beyond basic chatbot tutorials. We will start by crafting a Python class to efficiently load and extract text from PDF files using the PyPDF library. You'll then master the art of prompt engineering, learning how to construct precise system prompts that instruct a powerful AI model to act as a knowledgeable and professional company representative. Crucially, you'll program it to stay on-topic and know when to direct users to human support.

The core of this project is integration with the cutting-edge DeepSeek API, a leading and cost-effective large language model. You'll learn how to authenticate, make API calls, and process responses to create a seamless conversational experience. Finally, you'll use Gradio to create a beautiful and functional web interface, allowing you to deploy and share your chatbot with anyone, for free, in just a few lines of code.

By the end, you will have a fully functional AI agent that can handle real-world customer inquiries, reducing support tickets and improving user experience. The skills you learn in using alternative LLM APIs like DeepSeek are directly transferable and highly valuable in the fast-growing field of AI automation and development.

Keywords: AI Chatbot, Python, DeepSeek API, Gradio, Customer Service Automation, PDF Data Extraction, Prompt Engineering, Python Project, Natural Language Processing, Build ChatGPT, Web App Deployment, Support Agent, LLM Integration.

Who this course is for:

  • A specialized course for developers aiming to build AI agents using Python and Deepseek

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