Most IT students are already aware of the enormous cloud computing demand. Career opportunities range from cloud architects and developers to data scientists, big data, network security professionals, and many more. Because of the cloud prospects, the modern university curriculum is delivering specialization courses in cloud computing.
Let's see why a career in cloud computing is the next big thing in 2022.
Make Cost-Effective Business Operations
For running a successful business, most enterprises leverage the cloud benefits as they are cost-saving & can align with the business quality standards. It increases business efficiency and flexibility.
Nowadays, every enterprise wants in-house cloud computing professionals and cloud architects to help make better cloud computing decisions or manage on-premise data centers and backups. Almost all companies from different verticals can use the cloud benefits.
Hence, a cloud computing career will be a good choice for the next generation of aspirants, as more and more job opportunities are popping up every day. Companies like Amazon, LoginRadius, Microsoft, SAP, Google, Dell, Accenture, VMware, Deloitte, etc., hire cloud professionals and interns.
The average cloud architects' salary in India is INR 1,900,000, and that of a cloud network engineer is 6,00,000. An aspirant can start the career with fundamental courses like Coursera's Introduction to Cloud Computing or Pluralsight's Fundamentals of Cloud Computing, and go for a basic certification like AWS Cloud Practitioner and slowly become a cloud architect.
Data Management is Secure
Data stored on the cloud is more secure as cloud vendors cater to robust encryption and other security mechanisms; for both data at rest and in transit.
Cloud data resides as small-sized virtual data. It enables the enterprise to operate their massive amount of data effectively, and the information stored on the cloud requires less processing time.
There is minimal chance of data theft or cloud security breach, making the cloud computing scenario entirely trustworthy, reliable, and safe. Aspirants and professionals having specializations in cloud computing security or cybersecurity background get a chance to work on the security vertical of the cloud.
Companies like Microsoft, SAP, KPMG, Rackspace, Accenture, Servify, and Deloitte hire cloud security professionals. The average cloud security salary in India is INR 1,550,000. An aspirant or professional with a core cybersecurity background can apply for cloud security profiles.
Courses like Whizlabs Google Cloud Certified Professional Cloud Security Engineer or edX's Cloud Computing Security can benefit the aspirant to have a better understanding of cloud security.
Instant Scalability
Every business starts small and grows with time. Buying in-house infrastructure and creating on-premise data centers for storing a bulk quantity of data becomes costly. So, companies prefer to go with the cloud.
Scalability has become a hallmark feature for the cloud as enterprises can increase or decrease the requirement according to the resource demand. With the company's growth, it can effortlessly scale up the requirements and the users would not have to face downtime.
Cloud engineers are responsible for taking care of an organization's data scalability and backup-related matters. A course like QuickStart's CompTIA Cloud+ (Intermediate) can help you better understand cloud scalability; and how the pay per use model works within it.
Cloud for Big Data
Big Data has become a buzzword over the past few years as it provides a new paradigm for handling extensive data getting generated daily. For storing such massive and unpredictable data expansion, the cloud has become the most efficient option to store and manage them.
Cloud providers are leveraging various tools and concepts to reap the maximum benefit of big data. For example, "Elastic Map Reduce" of Amazon reveals how companies can use the strength of elastic computes in big data processing.
If any aspirant is new to this field, cloud vendors like Amazon AWS and Microsoft Azure provide big data certifications plus courses. These courses help aspirants to become data engineers or big data professionals. It also enables aspirants to master the skills of handling massive data amounts.
Courses like Coursera's Google Cloud Big Data and Machine Learning Fundamentals can help you better understand big data and how new technologies like machine learning (ML) and deep learning (DL) can leverage it over the cloud. Aspirants with big data backgrounds can also go for crash courses on Certificate Program in Big Data on Cloud.
Integrating Machine Learning (ML) in the Cloud
Artificial Intelligence(AI) and Machine Learning (ML) are steadily making their way into all possible realms of enterprises - from product to marketing. The pay-per-use model of cloud computing has also become a boon for AI and ML workloads.
By using the cloud, enterprises can easily experiment with all ML potential and scale up as per project requirements when placed in production or as demand increases.
Even the cloud vendors are implementing AI and ML algorithms to add intelligent capabilities of understanding requirements, security, & scale efficiently on demand. Top cloud providers like Amazon AWS, Google Cloud Platform, and Microsoft Azure provide specialized AI and ML certification/courses for aspirants and professionals.
Anyone with a good understanding of cloud computing skills can go for these courses to enhance their skills and get a better job in this demanding market. Aspirants & professionals having a basic understanding of the cloud or a beginner’s background in AI and ML development, can opt for the following ML courses. But make sure to try learning one track at a time (Azure Cloud/AWS/Google Cloud/IBM).
Most IT students are already aware of the enormous cloud computing demand. Career opportunities range from cloud architects and developers to data scientists, big data, network security professionals, and many more. Because of the cloud prospects, the modern university curriculum is delivering specialization courses in cloud computing.
Let's see why a career in cloud computing is the next big thing in 2022.
Make Cost-Effective Business Operations
For running a successful business, most enterprises leverage the cloud benefits as they are cost-saving & can align with the business quality standards. It increases business efficiency and flexibility.
Nowadays, every enterprise wants in-house cloud computing professionals and cloud architects to help make better cloud computing decisions or manage on-premise data centers and backups. Almost all companies from different verticals can use the cloud benefits.
Hence, a cloud computing career will be a good choice for the next generation of aspirants, as more and more job opportunities are popping up every day. Companies like Amazon, LoginRadius, Microsoft, SAP, Google, Dell, Accenture, VMware, Deloitte, etc., hire cloud professionals and interns.
The average cloud architects' salary in India is INR 1,900,000, and that of a cloud network engineer is 6,00,000. An aspirant can start the career with fundamental courses like Coursera's Introduction to Cloud Computing or Pluralsight's Fundamentals of Cloud Computing, and go for a basic certification like AWS Cloud Practitioner and slowly become a cloud architect.
Data Management is Secure
Data stored on the cloud is more secure as cloud vendors cater to robust encryption and other security mechanisms; for both data at rest and in transit.
Cloud data resides as small-sized virtual data. It enables the enterprise to operate their massive amount of data effectively, and the information stored on the cloud requires less processing time.
There is minimal chance of data theft or cloud security breach, making the cloud computing scenario entirely trustworthy, reliable, and safe. Aspirants and professionals having specializations in cloud computing security or cybersecurity background get a chance to work on the security vertical of the cloud.
Companies like Microsoft, SAP, KPMG, Rackspace, Accenture, Servify, and Deloitte hire cloud security professionals. The average cloud security salary in India is INR 1,550,000. An aspirant or professional with a core cybersecurity background can apply for cloud security profiles.
Courses like Whizlabs Google Cloud Certified Professional Cloud Security Engineer or edX's Cloud Computing Security can benefit the aspirant to have a better understanding of cloud security.
Instant Scalability
Every business starts small and grows with time. Buying in-house infrastructure and creating on-premise data centers for storing a bulk quantity of data becomes costly. So, companies prefer to go with the cloud.
Scalability has become a hallmark feature for the cloud as enterprises can increase or decrease the requirement according to the resource demand. With the company's growth, it can effortlessly scale up the requirements and the users would not have to face downtime.
Cloud engineers are responsible for taking care of an organization's data scalability and backup-related matters. A course like QuickStart's CompTIA Cloud+ (Intermediate) can help you better understand cloud scalability; and how the pay per use model works within it.
Cloud for Big Data
Big Data has become a buzzword over the past few years as it provides a new paradigm for handling extensive data getting generated daily. For storing such massive and unpredictable data expansion, the cloud has become the most efficient option to store and manage them.
Cloud providers are leveraging various tools and concepts to reap the maximum benefit of big data. For example, "Elastic Map Reduce" of Amazon reveals how companies can use the strength of elastic computes in big data processing.
If any aspirant is new to this field, cloud vendors like Amazon AWS and Microsoft Azure provide big data certifications plus courses. These courses help aspirants to become data engineers or big data professionals. It also enables aspirants to master the skills of handling massive data amounts.
Courses like Coursera's Google Cloud Big Data and Machine Learning Fundamentals can help you better understand big data and how new technologies like machine learning (ML) and deep learning (DL) can leverage it over the cloud. Aspirants with big data backgrounds can also go for crash courses on Certificate Program in Big Data on Cloud.
Integrating Machine Learning (ML) in the Cloud
Artificial Intelligence(AI) and Machine Learning (ML) are steadily making their way into all possible realms of enterprises - from product to marketing. The pay-per-use model of cloud computing has also become a boon for AI and ML workloads.
By using the cloud, enterprises can easily experiment with all ML potential and scale up as per project requirements when placed in production or as demand increases.
Even the cloud vendors are implementing AI and ML algorithms to add intelligent capabilities of understanding requirements, security, & scale efficiently on demand. Top cloud providers like Amazon AWS, Google Cloud Platform, and Microsoft Azure provide specialized AI and ML certification/courses for aspirants and professionals.
Anyone with a good understanding of cloud computing skills can go for these courses to enhance their skills and get a better job in this demanding market. Aspirants & professionals having a basic understanding of the cloud or a beginner’s background in AI and ML development, can opt for the following ML courses. But make sure to try learning one track at a time (Azure Cloud/AWS/Google Cloud/IBM).
