Python in Containers

About Python in Containers

Important Disclaimer:

This course requires you to download Anaconda software from anaconda[.]com website, as well as Docker software from docker[.]com website. If you are a

Udemy Business user

, please check with your employer before downloading software.

Docker

and

Kubernetes

are the

Must-Have Skills

for Python Enginner these days. Whether your focus is in Machine Learning & Data Science, or you use Python as General Programming Language, you must understand Docker & Kubernetes. Both form a basis of Modern Cloud Native Applications built in Microservices Architecture. Quotes from selected course reviews:

"_It covers pretty much everything you'd expect from enterprise project_ " Abbi1680

"_This course is absolute gold for data science and machine learning people because all Docker and Kubernetes courses out there focus on nothing but web applications. Thanks to the instructor for handling the concept of virtualization from a much needed different perspective. There are a lot of sources for learning ML and DS but_

_skills taught in this course are what will make you stand out from the crowd._

" Mertkan Alacahan

"_Spot on. Great depth yet very concise_." Toby Patterson

"_This is a deep deep deep dive in Docker with python._

_It is the complete course._

_Thanks for putting this together it is more than enough for what a need. I think watching the basic lectures and some selected topics I get what I needed and this became my docker reference guide if I need to solve a specific scenario. Thanks for putting this together. Highly recommend the course if you are a python developer._ " Pedro In this Course

you learn

how to:

Develop and Explore Machine Learning & Data Science

Jupyter Notebooks in Docker

Run

Machine Learning Models in Production

with Kubernetes and Docker Swarm

package

your Python Code into Containers

publish your Containers

in Image Registries

deploy

Containers in Production

build highly modular Container-based Services in

Micro-Services

fashion

monitor and maintain Containerized Apps You are going to become

fluent and confident in using Docker Tools

to create top-class Containers running your Python Code. You

master Docker Runtime Tools

like Compose and Swarm to run them. The Course also gives you sound knowledge and

deep understanding of Kubernetes

as the Application Platform. You gain confidence in Designing your Application to run on Kubernetes, as well as get deep knowledge of

writing Kubernetes Object Declarations

. The Course is

full of practical Exercises

. There are over

40 GitHub Repositories full of Code Samples

for the Course. You can use the Course in two ways: 1. If you use

Python for Machine Learning & Data Science

, go Top-Down: start with Section 7 to quickly gain practical Docker skills and use Sections 2 to 6 to dig deeper into specific Container Topics. 2. If you want to use

Python for Web Apps & Microservices

, try Bottom-Up: use the Course in linear manner. Start building Containers today!