Master cloud-native development with hands-on training in virtualization, containers, and microservices. Perfect for beginners in cloud computing.
Master cloud-native development with hands-on training in virtualization, containers, and microservices. Perfect for beginners in cloud computing.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Building Cloud Computing Solutions at Scale Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.4
(111 ratings)
13,471 already enrolled
Instructors:
English
What you'll learn
Design and implement cloud-native systems using virtualization
Build and deploy containerized applications with Docker and Kubernetes
Develop effective microservices using Flask and serverless technologies
Implement DevOps best practices for monitoring and operations
Create continuously deployed cloud applications
Skills you'll gain
This course includes:
4.25 Hours PreRecorded video
12 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This comprehensive course teaches the fundamental building blocks of cloud computing, focusing on virtual machines, containers, and microservices. Students learn to design cloud-native systems using technologies like Flask and Kubernetes while implementing DevOps best practices. The curriculum covers containerization, serverless computing, and effective operations including monitoring, load testing, and continuous improvement principles.
Getting Started with Cloud Building Blocks
Module 1 · 1 Hours to complete
Virtualization and Containers
Module 2 · 10 Hours to complete
Microservices
Module 3 · 9 Hours to complete
Operations
Module 4 · 9 Hours to complete
Fee Structure
Instructor
Executive in Residence and Founder of Pragmatic AI Labs
Noah Gift is the founder of Pragmatic AI Labs and serves as an Executive in Residence at Duke University, where he lectures in the MIDS Graduate Data Science Program. With nearly two decades of experience, he specializes in machine learning, MLOps, and cloud architecture, designing graduate-level courses that bridge theory and practical applications. Gift is a recognized expert in the field, being a Python Software Foundation Fellow and an AWS Machine Learning Hero, with extensive experience working with major companies such as Disney Feature Animation, Sony Imageworks, and AT&T. He has authored several influential books, including Practical MLOps and Python for DevOps, and has published numerous technical articles across various platforms.In his teaching role, Gift offers a wide range of courses such as Advanced Data Engineering, Cloud Machine Learning Engineering and MLOps, and Data Visualization with Python. His work emphasizes hands-on learning and real-world problem-solving using contemporary tools in AI and cloud computing. By leveraging his industry experience and academic insights, Gift aims to equip students with the skills necessary to tackle complex challenges in data science and machine learning, preparing them for successful careers in these rapidly evolving fields.
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4.4 course rating
111 ratings
Frequently asked questions
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