Inflearn English brand logo
Inflearn English brand logo
Programming

/

Web Development

AI Web Programming (Streamlit)

Create AI data analysis and modeling results into a web program.

(5.0) 1 reviews

60 students

streamlit
Machine Learning(ML)
Django
Seaborn
jupyter-notebook

This course is prepared for Beginners.

What you will learn!

  • Start developing AI machine learning.

  • Start developing web programs.

  • And connect them.

  • How to use Streamlit, how it works, pros and cons

Get started with AI Web Programming.

AI machine learning/deep learning results can be opened as a web program.

  • With Streamlit, you can create web programs very easily.

  • You will learn not only how to use Streamlit, but also its core principles.

  • If you have Django experience, Streamlit features will be an upgrade.

  • You can also create a ChatGPT program easily.

Learn about these things

(1) Basic explanations for beginners

We provide basic usage lectures to help beginners get started, by separating intermediate and beginner lectures. (Machine learning, Jupyter notebook, Streamlet, Django, etc.)

ai-web

(2) Web Programming for Data Analysts

From a data analyst's perspective, I am studying web programming, which is considered difficult, step by step.

  • Data analysis using web programs.

  • Machine learning predictions made with web programs.

  • Create a data dashboard as a web program.


countplot-3

(3) It’s more than just simple usage.

The official documentation is sufficient for simple usage of the Streamlit package. You can learn about the working principles behind it, what to watch out for, and the pros and cons compared to general web programming methods such as Django.

basic

Know in advance

(1) What is AI Web Programming?

This term is not an official term, it is just a term I made up for convenience.

As the work of opening AI machine learning/deep learning results as web programs is increasing, this type of programming is called AI Web Programming.

You may misunderstand this as web programming with ChatGPT, but this is not the case.

(2) Is the official documentation sufficient for how to use Streamlit?

That's right. The official documentation is well-written, so you can learn basic usage on your own from the official documentation.

This course goes beyond basic usage to explain the internal workings and things to watch out for, and compares the pros and cons with general web programming methods.

(3) Beginners should study the basics first.

If you listen to the lecture from the beginning and find it difficult, study the (basic) section below first.

I tried to convey it in an easy and step-by-step manner.

Things to note before taking the class

Practice environment

  • Operating System and Version (OS): The course is taught on Windows, but MacOS and Linux are also available

  • I will be teaching using PyCharm (free version v2023), but please use an editor you are familiar with (such as VSCode).


  • Streamlit (v1.30), Jupyter-Notebook (v7.0), Django (v5.0)

  • Although the lecture is given in the above version, it uses the basic API, so the version has little effect.

Learning Materials

  • Source code and lecture reference materials provided

  • During the lecture, we explain concepts related to coding as well as coding itself.

Player Knowledge and Notes

  • Basic knowledge of Python is required, and experience with Django is a plus.

  • To save study time, I edited the video by reducing idle time.


Recommended for
these people!

Who is this course right for?

  • Developers starting out with machine learning

  • Developers starting web programming

  • People who want to express data science results as web programs

Need to know before starting?

  • If you only know the basics of Python, you can start with the basic lecture.

  • If you have experience in data analysis or web programming, that's even better.

Hello
This is bestdjango

2,069

Students

152

Reviews

224

Answers

4.6

Rating

5

Courses

프로그램 개발은 C 언어로 시작했으며, 자바를 거쳐 최근에는 주로 파이썬을 사용하고 있다.
KT ucloud 서비스의 백엔드 서버 개발 프로젝트에 참여하여, 자바로 고객의 폴더/파일에 대한 메타 정보 처리 엔진을, 파이썬으로 클라이언트 푸시 서비스를 개발하였다.

또한 KT인터넷 회선의 속도 측정 프로그램, 네트워크 장비에 대한 운용관리 프로그램, 방대한 양의 트래픽 데이터 분석 프로그램을 개발한 바 있다. 개인적으로는 파이썬의 매력에 푹 빠져 되도록이면 파이썬으로 코딩하기를 즐겨하고 있다.

그 일환으로 요즘은 Django를 활용한 웹 프로그래밍, Django Rest Framework를 활용한 JSON 연동, Pandas를 활용한 데이터 분석, Scikit-learn/Tensorflow/ChatGPT 를 활용한 AI 솔루션 개발 등의 프로젝트를 개발하면서 파이썬의 활용도를 넓혀가고 있다.

< 저서 >

1. Django 로  배우는 파이썬 웹 프로그래밍 (초판, 한빛미디어, 2015.4월)
2. Django 를 활용한 파이썬 웹 프로그래밍 - 실전편 (초판, 한빛미디어, 2016. 7월)
3. Django 로  배우는 파이썬 웹 프로그래밍 (개정판, 한빛미디어, 2018. 8월)
4. Django 를 활용한 파이썬 웹 프로그래밍 - 실전편 (개정판, 한빛미디어, 2019. 11월)
5. Django 로  배우는 파이썬 웹 프로그래밍 (3판, 한빛미디어, 2022. 11월)

 

< 동영상 강의 >

1. Vue.js - Django 연동 웹 프로그래밍 (인프런 동영상, 2019.4월)
2. Vue.js - Django 연동 웹 프로그래밍 - 실전편 (인프런 동영상, 2020.9월)
3. Vue - Django - Bootstrap 뚝딱 블로그 (인프런 동영상, 2021. 9월)
4. Django REST framework 핵심사항 (인프런 동영상, 2022.2월)
5. AI Web Programming (인프런 동영상, 2024.2월)

More

Curriculum

All

80 lectures ∙ (9hr 56min)

Course Materials:

Lecture resources
Published: 
Last updated: 

Reviews

Not enough reviews.
Become the author of a review that helps everyone!