[Free] Build An Ai App With Deepseek &Amp; Fastapi – Step-By-Step Guide
Step-by-step: Connect DeepSeek AI to FastAPI & build a smart chatbot
Requirements
- Python 3.7+
- Basic knowledge of FastAPI
- Basic knowledge of HTML
- Basic knowledge of CSS or Bootstrap
Description
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!
Author(s): Aly Dawood
