Ultimate Streamlit Industry Guide

سرفصل های دوره

Learn to solve Real World Business Problems with Analytical Apps from an industry professional

1 - Intro

1 - Welcome

2 - Course contents

3 - Getting to know each other

4 - Motivation to learn Streamlit

2 - Fast kickoff

5 - Launching an App locally in 5mins

5 - fast-kickoff.zip

6 - App architecture ML pipeline behind it

3 - Solving Real World problem Locally

7 - Defining the Business Problem

8 - Industry workflow

8 - car pricing dataset kaggle.zip

9 - Understanding the App Codebase

9 - case1-local.zip

10 - Packaging App into Docker

10 - a great minicourse to get started with docker.zip

10 - docker in 10 minutes.zip

4 - Upgrading the Solution CLOUD

11 - Setting up GCP part 1

11 - installing gcloud cli locally.zip

12 - Setting up GCP part 2

13 - Cloud deployment part 1

13 - case2-cloud.zip

14 - Cloud deployment part 2

5 - Going PRO Adding CICD

15 - Understanding the pipeline

16 - Setting up GitLab

16 - case3-cloud-CICD.zip

16 - how to set up your ssh.zip

17 - Deployment

18 - Improvement ideas

18 - mlflow model registry.zip

6 - Career Life Hacks

19 - Ideas to Accelerate Your Career

19 - example of a personal website.zip

19 - system design book.zip

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تولید کننده: Udemy-Training