Cloud Computing Technologies - Bachelor's
Master cloud computing fundamentals and advanced concepts. Learn infrastructure management, scalability, and cloud-native design.
Master cloud computing fundamentals and advanced concepts. Learn infrastructure management, scalability, and cloud-native design.
This comprehensive course covers the core concepts and practical applications of cloud computing technologies. Students will explore the five components of cloud computing, focusing on application and infrastructure scalability, reliability, and security. The curriculum encompasses cloud native thinking, tooling, design patterns, storage solutions, database management, and orchestration. Using AWS as the primary platform, learners will gain hands-on experience in creating and managing cloud infrastructure, implementing autoscaling, working with various storage types, and utilizing Infrastructure as Code (IaC) tools like Terraform. The course also covers business models of cloud computing and prepares students for real-world cloud implementation challenges.
Instructors:
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What you'll learn
Create infrastructure from Cloud Native APIs using command-line tools
Understand and apply the five components of cloud computing
Implement cloud-native thinking in application and infrastructure design
Deploy and manage virtualization solutions and cloud-based environments
Design and implement autoscaling solutions for cloud applications
Work with various cloud storage types including object, block, and file storage
Skills you'll gain
This course includes:
720 Minutes PreRecorded video
27 quizzes and programming assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 9 modules in this course
This course provides a comprehensive exploration of cloud computing technologies, focusing on both foundational concepts and advanced applications. The curriculum is structured into nine modules, each covering crucial aspects of cloud computing. Students begin by understanding the development of cloud computing and cloud-native thinking, then progress through practical skills in cloud tooling, design patterns, and infrastructure management. The course covers key topics such as virtualization, autoscaling, cloud storage solutions, database management in the cloud, and Infrastructure as Code (IaC) practices. Throughout the program, learners gain hands-on experience with industry-standard tools and platforms, primarily using AWS. The course emphasizes cloud-native design principles, scalability, reliability, and security considerations in cloud environments. By the end, students will have a thorough understanding of cloud computing technologies and be prepared to implement and manage cloud solutions in real-world scenarios.
Development of Cloud Computing and Cloud Native Thinking
Module 1 · 5 Hours to complete
Cloud Native Tooling
Module 2 · 12 Hours to complete
Cloud Native Design Patterns and Principles – I Target Groups
Module 3 · 11 Hours to complete
Cloud Native Design Patterns and Principles – II Autoscaling Groups
Module 4 · 9 Hours to complete
Cloud Native Storage Patterns and Principles
Module 5 · 11 Hours to complete
Cloud Native Database Patterns and Principles
Module 6 · 12 Hours to complete
Cloud Native Orchestration Patterns and Principles
Module 7 · 11 Hours to complete
Business, Compute, and Realization models of Cloud Computing
Module 8 · 6 Hours to complete
Summative Course Assessment
Module 9 · 3 Hours to complete
Fee Structure
Payment options
Financial Aid
Instructor
Expert in Cloud Computing and Data Modeling at Illinois Tech
Marwan Omar is an Associate Professor at Illinois Tech, where he teaches a variety of courses focused on cloud computing and data modeling, including Cloud Computing Technologies at both the Bachelor’s and Master’s levels, as well as Data Modeling and Applications. His courses delve into the fundamentals of cloud computing architectures, services, and applications, equipping students with essential knowledge. Professor Omar's expertise in cloud computing security, machine learning, and natural language processing allows him to provide a comprehensive understanding of these advanced technologies and their practical applications in the real world.
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Frequently asked questions
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