Python in Containers

All about Containers, Docker and Kubernetes for Python Engineers
4.54 (529 reviews)
Udemy
platform
English
language
Programming Languages
category
instructor
Python in Containers
4 937
students
24 hours
content
Jun 2020
last update
$29.99
regular price

Why take this course?

🌟 Python in Containers: Master Docker and Kubernetes for Python Engineers 🌟


Course Headline: 🚀 All about Containers, Docker, and Kubernetes for Python Engineers! 🚀

Whether you're a Python engineer with a focus on Machine Learning & Data Science, or you use Python as a versatile programming tool, understanding Docker and Kubernetes is not just beneficial—it's essential. These technologies form the cornerstone of modern cloud-native applications built with Microservices Architecture 🐳💻


Why This Course?

  • Industry-Relevant Skills: Docker and Kubernetes are the must-have skills for Python engineers today. They're critical for deploying and managing applications in a scalable, efficient manner.
  • Comprehensive Coverage: From developing Jupyter Notebooks in Docker to deploying containers in production with Kubernetes, this course covers it all.
  • Expert Reviews: Don't just take our word for it—course reviewers rave about its depth and applicability! 🏆

"It covers pretty much everything you'd expect from an enterprise project." - Abbi1680@gmail.com "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. The 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 dive in Docker with Python. It is the complete course. 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." - Pedro


What You Will Learn:

  • Developing ML & Data Science Projects: Learn how to develop and explore your projects in Docker.
  • Running ML Models in Production: Understand how to run your machine learning models with Kubernetes and Docker Swarm.
  • Packaging Python Code into Containers: Master the art of containerizing your Python code for portability and consistency.
  • Publishing Containers: Learn how to publish your containers in image registries, making them available for deployment.
  • Deploying Containers in Production: Gain the skills to deploy your containers in production environments with confidence.
  • Building Microservices: Discover how to build highly modular container-based services using a micro-services approach.
  • Monitoring and Maintaining Containerized Apps: Learn best practices for monitoring, maintaining, and ensuring the health of your containerized applications.

Become Fluent in Docker Tools & Master Kubernetes!

  • Docker Skills: Become fluent with Docker tools to create top-class containers running your Python code.
  • Runtime Tools Mastery: Master Docker Runtime Tools like Compose and Swarm for managing your applications.
  • Kubernetes Knowledge: Gain a sound knowledge and deep understanding of Kubernetes as an application platform.
  • Designing with Kubernetes: Confidently design your application to run on Kubernetes and write Kubernetes object declarations.

Practical Exercises & Real-World Applications:

This course is packed with over 40 GitHub repositories full of code samples for practical, hands-on learning. You'll tackle real-world scenarios and emerge with the expertise to handle any container challenge! 🛠️


Who Is This Course For?

Regardless of your Python expertise or the domain you specialize in, this course is tailored to fit your needs:

  1. Data Science & ML Focus: Start with Section 7 for a quick dive into practical Docker skills, and then delve deeper into container-specific topics as needed.
  2. Web Apps & Microservices Focus: Follow the course in a linear fashion for a comprehensive understanding of deploying Python applications using containers.

Embark on Your Containerization Journey Today! 🚀🐙

Build your skills with Docker and Kubernetes, and become a Python engineer who stands out in the cloud-native landscape. Start transforming your Python projects into containerized solutions now! 🎉

Don't wait to harness the full potential of your Python expertise—containerize, deploy, and manage your applications like a pro! 🏆 Enroll in the course today and future-proof your skills.

Course Gallery

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Related Topics

1867316
udemy ID
20/08/2018
course created date
08/02/2020
course indexed date
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