Use DeepSeek’s API, Gradio, & PyPDF to create a ChatGPT-like assistant that answers questions based on your PDF files
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.
| Total Students | 67 |
|---|---|
| Duration | 1 hour |
| Language | English (US) |
| Number of lectures | 7 |
| Number of quizzes | 0 |
| Total Reviews | 0 |
| Global Rating | 0 |
| Instructor Name | Aly Dawood |
Course Insights (for Students)
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Student Satisfaction
78% positive recent sentiment
Momentum
Steady interest
Time & Value
- Est. time: 1 hour
- Practical value: 5/10
Roadmap Fit
- Beginner → → Advanced
Key Takeaways for Learners
- Automation
Course Review Summary
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What learners praise
Clear explanations and helpful examples.
Watch-outs
No consistent issues reported.
Difficulty
Best suited for
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