Build an AI App with DeepSeek & FastAPI – Step-by-Step Guide
Build an AI App with DeepSeek & FastAPI – Step-by-Step Guide, Step-by-step: Connect DeepSeek AI to FastAPI & build a smart chatbot.
Course Description:
Learn how to integrate DeepSeek AI with FastAPI and create a responsive web app from scratch! In this hands-on course, you’ll build a simple AI-powered application that answers user queries using DeepSeek’s LLM (Large Language Model). Perfect for beginners, this tutorial covers FastAPI backend setup, HTML/CSS frontend, and AI API integration—helping you take your first step into AI development.
What You’ll Learn:
How to connect DeepSeek AI to a FastAPI backend
Build a basic HTML/CSS frontend for user interaction
Send and receive AI-generated responses in real-time
Prerequisites:
- Python 3.7+
- Basic FastAPI knowledge
- Familiarity with HTML & CSS (or Bootstrap)
- Understanding of Jinja2 or similar templating engines
Who Is This For?
- Developers curious about AI integration
- Beginners in FastAPI or LLM APIs
- Anyone wanting to build an AI-powered web app
What is DeepSeek AI?
DeepSeek is a leading open-source AI company specializing in large language models (LLMs) like DeepSeek-V2 and DeepSeek-V3. Known for its powerful performance, it rivals GPT-4, Claude, and Gemini while being mostly free to use.
Why DeepSeek?
Open-weight models (7B, 67B parameters)
128K context window—great for long documents
Strong coding & reasoning abilities
Moslty Free API access (unlike GPT-4)
Multimodal AI (DeepSeek-Vision coming soon)
Expectations
This course won’t make you an AI expert overnight, but it’s the perfect starting point for integrating FastAPI with DeepSeek’s LLM. By the end, you’ll have a working AI chatbot and the foundation to explore more advanced AI projects!
