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Build an AI App with DeepSeek & FastAPI – Step-by-Step Guide
Rating: 4.3 out of 5(21 ratings)
1,864 students

Build an AI App with DeepSeek & FastAPI – Step-by-Step Guide

Step-by-step: Connect DeepSeek AI to FastAPI & build a smart chatbot
Created byAly Dawood
Last updated 9/2025
English
English [Auto],

What you'll learn

  • Connecting DeepSeek with FastAPI
  • Creating DeepSeek API KEY
  • Connecting to DeepSeek API
  • Creating and App with DeepSeek and FastApi

Course content

2 sections • 11 lectures • 1h 6m total length

  • Introduction2:02

    DeepSeek is a leading Chinese AI company specializing in large language models (LLMs) and advanced artificial intelligence technologies. The company has developed cutting-edge models such as DeepSeek-V2 and DeepSeek-V3, open-weight LLMs designed to support a wide range of applications—from natural language generation and coding assistance to complex reasoning and decision support.

    By combining technical innovation with scalable AI solutions, DeepSeek is positioning itself as a key player in the global AI landscape.

  • What is DeepSeek?2:00
  • What We Will Be Building2:20

    Build a demo app with a FastAPI backend connected to DeepSee, fortified with IPsec, and a Bootstrap-based HTML/CSS frontend for chat-like Q&A interactions.

  • Set Up Your DeepSeek API Key2:42
  • Python Virtual Environment1:56
  • LAB 1 - Configure a Virtual Environment4:27

    Set up a Python virtual environment to create an isolated workspace for your project. Activate the environment and use pip to install modules without affecting global packages.

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!


Who this course is for:

  • Web Developers

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