Introduction to Cloud Computing
Master the fundamentals of cloud computing, from service models to emerging technologies, with hands-on IBM Cloud experience.
Master the fundamentals of cloud computing, from service models to emerging technologies, with hands-on IBM Cloud experience.
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 IBM DevOps and Software Engineering Professional Certificate 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.
4.6
(6,376 ratings)
3,47,791 already enrolled
Instructors:
English
বাংলা, اردو, ଓଡ଼ିଆ, 2 more
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What you'll learn
Define cloud computing and explain its essential characteristics
Understand different cloud service and deployment models
Explore major cloud platforms and their key services
Learn about cloud infrastructure components and storage options
Gain hands-on experience with cloud deployment and architecture
Discover emerging trends in cloud computing and DevOps
Skills you'll gain
This course includes:
3.8 Hours PreRecorded video
6 quizzes, 11 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 6 modules in this course
This comprehensive course provides a thorough introduction to cloud computing fundamentals. Students learn about cloud service models (IaaS, PaaS, SaaS), deployment options (public, private, hybrid), and essential components of cloud infrastructure. The curriculum covers emerging trends like microservices, serverless computing, and DevOps, while also addressing cloud security and monitoring. The course includes hands-on projects and real-world case studies to reinforce learning.
Overview of Cloud Computing
Module 1 · 1 Hours to complete
Cloud Computing Models
Module 2 · 2 Hours to complete
Components of Cloud Computing
Module 3 · 2 Hours to complete
Emergent Trends and Practices
Module 4 · 1 Hours to complete
Cloud Security, Monitoring, Case Studies, Jobs
Module 5 · 2 Hours to complete
Final Project and Assignment
Module 6 · 1 Hours to complete
Fee Structure
Instructor
Technology Education and Skills Development Leader at IBM
Rav Ahuja serves as the Chief Content Officer and Global Program Director at IBM Skills Network, where he leads curriculum creation, growth strategy, and partner programs. After earning his B.Eng. from McGill University and MBA from the University of Western Ontario, he co-founded Cognitive Class, an IBM initiative focused on democratizing access to in-demand technology skills. Based at the IBM Canada Lab in Toronto, he specializes in developing instructional solutions for AI, Data Science, Cloud Computing, and Cybersecurity. His impact on technology education is evidenced through his role as architect of numerous IBM Professional Certificates and instructor for over 35 online courses, including popular offerings like "What is Data Science?", "Introduction to Cloud Computing," and "Introduction to Artificial Intelligence (AI)." His courses have reached hundreds of thousands of learners worldwide, with "What is Data Science?" alone enrolling over 638,000 students. His recent work includes developing new Generative AI courses and career guidance content for IBM's Professional Certificate programs, demonstrating his ongoing commitment to preparing learners for emerging technology careers
Testimonials
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4.6 course rating
6,376 ratings
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.