March 2020
Intermediate
23h 48m
English
Overview
In this 24-hour course, you'll explore mastering Docker and Kubernetes within Python-focused applications. You'll gain skills to containerize Python code, deploy machine learning models, and design microservices using Kubernetes.
What I will be able to do after this course
- Understand Docker and learn how to create containerized Python applications.
- Learn to use Docker Compose and Docker Swarm for advanced container lifecycle management.
- Master Kubernetes for deploying and managing complex multi-container Python-based applications.
- Develop skills to containerize and operationalize machine learning models and Jupyter Notebooks.
- Achieve expertise in building production-ready containerized solutions for cloud-native applications.
Course Instructor(s)
Kris Celmer, a seasoned software engineer and educator, has years of experience in Python development and containerization technologies such as Docker and Kubernetes. Known for his hands-on teaching style, Kris integrates real-world scenarios into lessons, ensuring practical and applicable learning outcomes.
Who is it for?
This course is ideal for Python developers who wish to integrate Docker and Kubernetes into their workflow. Beginners with fundamental programming knowledge and professionals aiming to advance towards microservices architectures will benefit. Machine learning engineers desiring to streamline deployment processes will find this course highly advantageous.
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