Express Streamlit Industry Guide: App Online in < 3 hours

Learn to solve Real World Business Problems with Streamlit Python &amp; Showcase Your Work to the World

4.00 (23 reviews)
Udemy
platform
English
language
Other
category
instructor
Express Streamlit Industry Guide: App Online in < 3 hours
235
students
2.5 hours
content
Dec 2023
last update
$54.99
regular price

What you will learn

Solve Real World Business Problems with Analytical Apps using Streamlit Python

Develop & Enhance your Data Analytics/Data Science portfolio with Streamlit Apps

Create a Solid Case to GET PROMOTED in Your Analytics Career

Strengthen your Analytics Toolbox with DevOps Skills while deploying Streamlit projects to the Cloud

Description

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[Course Updates]:

- 09.2023: + Additional materials on GCP deployment

- 12.2023: + "Streamlit + DuckDB" section. Learn incorporating "Analytical data base of the future" to speed up Streamlit apps

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Would you like to boost your IT career with the help of Analytics and Cloud Technology?

Have you not yet heard about Streamlit?


You've come to the right place!


There's no better way to achieve that than by solving a Real World Business Problem and sharing your solution with the audience in an interactive & web-accessible format!


Streamlit has been helping me accomplish just that in IT, Food and Travel industries over the last 4 years.

With the help of this amazing open-source framework I've drawn attention of C-level management to the areas for business improvement, grew my Team and even changed the country where I live & work!

Streamlit python has a really flat learning curve.

At the same time it enables you to go from an idea to a full-scale App running somewhere in the Internet in less than 1 day!


Join me in this fun and Industry-shaped course to get new skills and improve your Tech&business acumen!


By the end of this course you will be able to:


  • Shape your ideas into a feasible Analytical App MVP

  • Package your ML models into Web Apps using Streamlit python

  • Deploy your machine learning projects in the form of Apps to the Internet via Google Cloud

  • Upgrade your DS/DA toolbox by solid DevOps skills

  • Automate App Cloud deployment via Gitlab CICD

  • Create Streamlit Analytical Apps that use DuckDB as backend data base solution (your Apps will be faaaaast!)


The course isn't static! I collect students' feedback and periodically update the materials: add new lectures and practice cases!

Content

Intro

Welcome!
Course contents
Getting to know each other
Motivation to learn Streamlit

Fast kick-off

Launching an App locally in <5mins
App architecture & ML pipeline behind it

Solving Real World problem (Locally)

Defining the Business Problem
Industry workflow
Understanding the App Codebase
Packaging App into Docker

Upgrading the Solution (CLOUD)

Setting up GCP: part 1
Setting up GCP: part 2
Cloud deployment: part 1
Cloud deployment: part 2

Going PRO (Adding CI-CD)

Understanding the pipeline
Setting up GitLab
Deployment
Improvement ideas

Career Life Hacks

Ideas to Accelerate Your Career

Reviews

George
October 20, 2023
I hesitated to take this course because it was short compared to others (despite having good grades, but they were few), in any case, I thought its price was not that high anyway. Now I'm grateful for my intuition because this course is truly a GEM. So now I realize that it is true the saying that "if something is GREAT and short, it is twice" GREAT * power ^ n = GREAT/AMAZING course
Cleyton
April 23, 2023
I really enjoyed this course. Maxim demonstrated excellent knowledge of the subject matter and industry standards, and the course went straight to the point by covering the entire pipeline for deploying a machine learning model in production, which is a highly sought-after requirement for those seeking roles as data scientists, machine learning engineers, and so on.
Roman
December 27, 2022
Nice course, simple and clear manner of delivering of information to the audience, gives trustable and usable advice on how to work with tools.

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5024930
udemy ID
12/14/2022
course created date
3/20/2023
course indexed date
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