![Best PG Programs in Cloud Computing to Learn in 2021](http://media.assettype.com/analyticsinsight%2Fimport%2Fwp-content%2Fuploads%2F2021%2F04%2FBest-PG-Programs-in-Cloud-Computing-to-Learn-in-2021.jpg?w=480&auto=format%2Ccompress&fit=max)
Cloud computing is not only emerging as one of the disruptive technologies. It is also an essential skill for IT professionals today. While companies are moving towards cloud infrastructure for their business service needs, cloud computing is becoming a sought-after career opportunity. There are many cloud computing jobs available out there ranging from interns, developers, architects to DevOps engineers, and data scientists. In order to land a successful career in cloud computing, you must be qualified in the best cloud computing courses. We have listed here the best PG Programs in cloud computing that will help build a career in cloud computing.
Duration: 12 Months
The Post Graduate Program in Cloud Computing helps you become an expert in designing, planning, and scaling cloud implementations. Designed in collaboration with Caltech CTME, this cloud computing program helps you become an expert in Azure, AWS, and GCP. This in-depth cloud computing certification training lets you master key architectural principles and develop the skills needed to become a cloud expert. Key features of this course include Caltech CTME Post Graduate Certification, Online Convocation by Caltech CTME Program Director, Master Classes from Caltech CTME instructor, Caltech CTME Circle Membership, Physical Certificate from Caltech CTME (on request) and more.
Duration: 11 Months
Aegis has launched India's first industry-ready Post-Graduate Program (PGP) in Cloud Computing in association with IBM. Aegis Cloud Computing program intends to educate career aspirants and IT professionals with an interest in developing and deploying enterprise applications in the cloud, including business and security aspects of these applications and their interaction with mobile computing. An innovative curriculum has been developed for the programs jointly and will be delivered by IBM designated subject matter experts. The program involves 36 Credit Units, 9 months of Classroom training + Live projects + One Capstone project, plus 2 to 3 months of Internships.
Duration: Full-Time (12 Months) & Part-Time (24 Months)
Cloud Computing MSc aims to produce experts with practical experience who can work with companies from around the world to realise the business benefits of this exciting technology. The course focuses on both theory and practice so that you can understand and implement cloud computing applications. You will cover key subjects such as advanced object-oriented programming, data mining and big data analytics. Through this course, you will develop both your technical and professional skills to underpin personal development and future career success. Our comprehensive research training provides a basis for PhD study.
Duration: 36 Credits
The course is designed to equip you with the technical and management skills to effectively design, operate, and maintain cloud computing systems and help organizations transition to cloud-based solutions. You will learn to strategically transform an organization's current infrastructure to one that efficiently delivers valuable services via the cloud. Through a broad understanding of cloud technology and its relationship to business processes, including financial management, procurement, and communications, you will be able to design effective cloud environments—and ultimately become a strong asset in any organization.
Duration: Full-Time (12 Months)
This Master's degree program will equip you with specialist knowledge in this fast-growing field and allow you to explore a range of advanced topics in computer science. You will gain a foundation in topics like systems programming and algorithms, with specialist modules in advanced distributed systems – especially cloud techniques, technologies and applications. A bachelor degree with a 2:1 (Hons) in computer science is required to pursue this course.
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