Master fundamental cloud computing concepts and build infrastructure including serverless technology and virtual machines. Perfect for beginners.
Master fundamental cloud computing concepts and build infrastructure including serverless technology and virtual machines. Perfect for beginners.
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.
4.5
(250 ratings)
24,619 already enrolled
Instructors:
English
What you'll learn
Build and deploy cloud infrastructure using multiple service models
Implement continuous integration and delivery pipelines
Apply effective technical communication and project management
Develop websites using various cloud technologies
Master DevOps principles and infrastructure as code
Skills you'll gain
This course includes:
5.67 Hours PreRecorded video
12 quizzes, 3 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 5 modules in this course
This comprehensive foundational course teaches students how to build cloud computing infrastructure, including websites using serverless technology and virtual machines. The curriculum covers technical communication, cloud onboarding across major platforms, service models, and DevOps principles. Students learn through hands-on projects including building a static website using Hugo framework, AWS Code Pipelines, AWS S3, and GitHub.
Getting Started with Cloud Computing Foundations
Module 1 · 1 Hours to complete
Developing Effective Technical Communication
Module 2 · 7 Hours to complete
Exploring Cloud Onboarding
Module 3 · 9 Hours to complete
Evaluating the Cloud Service Model
Module 4 · 6 Hours to complete
Applying DevOps Principles
Module 5 · 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.
Testimonials
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4.5 course rating
250 ratings
Frequently asked questions
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