19 Must Have Cloud Computing Skills for 2025 | iCert Global

Cloud computing has rapidly transformed the way companies operate and is now a significant aspect of most industries. As a data analyst, you likely understand how it has enhanced data storage, processing, and analysis. This research will examine significant trends, challenges, and impacts of the expanding cloud computing universe.

The Changing World of Cloud Computing

Cloud computing is a method of accessing the internet to deliver computing services such as servers, storage, databases, networking, and software. It makes companies work faster, be more agile, and save costs. Cloud computing has changed with time. It evolves based on new technology, business requirements, and trends. Let's see some of these major changes.

Important Trends in Cloud Computing

• Hybrid and Multi-Cloud Utilization – Numerous companies utilize public and private clouds. This assists them in maintaining a balance between cost and performance. Others also employ varying providers of clouds. This assists them in not relying too heavily on one and enhances dependability.

• Serverless Computing – Cloud services such as AWS Lambda and Azure Functions allow programmers to develop applications without having to manage servers. This eases their tasks and makes them more efficient.

• Edge Computing – This technology processes data close to where it is being generated, reducing delays. It's particularly helpful for intelligent devices, IoT, and autonomous vehicles.

• AI and Machine Learning in the Cloud – Cloud providers provide tools for AI and machine learning, so companies can analyze data and draw conclusions without investing in their own infrastructure.

• Containerization and Kubernetes – Containers simplify developing, deploying, and migrating applications across various cloud platforms. Kubernetes facilitates the efficient management of these containers.

Types of Cloud Services

Cloud services are crucial for contemporary businesses and data analysis. They enable efficient storage, processing, and data analysis. Let us discuss various types of cloud services and their advantages for data analysts.

1. Infrastructure as a Service (IaaS) – IaaS offers virtual machines, storage, and networks over the web. It makes it possible to scale resources used for operations such as data storage and processing. Examples are Amazon EC2 and Microsoft Azure VMs.

2. Platform as a Service (PaaS) offers app development tools. With PaaS, you don't have to manage any infrastructure. It offers preconfigured environments for data analysis. Examples are Google Cloud's BigQuery and AWS Elastic Beanstalk.

3. Software as a Service (SaaS) – SaaS allows you to use programs in the cloud, so you do not need to install them. Data analysts employ tools like Tableau, Power BI, and Google Data Studio. Tools for data visualization and reporting are provided by these.

4. Function as a Service (FaaS) / Serverless Computing – FaaS executes particular functions based on events without the need to manage servers. It is helpful for automated data processing, such as ETL (Extract, Transform, Load) activities. Examples are AWS Lambda and Azure Functions.

5. Database as a Service (DBaaS) – DBaaS offers managed database services that minimize maintenance efforts. Amazon RDS and Azure SQL Database are some of the services that facilitate analysts to store and manage data efficiently.

6.  Analytics as a Service (AaaS) – This cloud service offers AI-driven analytics tools. Tools such as Google BigQuery ML and AWS SageMaker allow analysts to perform data modeling and machine learning with ease. They don't require much coding.

7.  Storage as a Service – Cloud storage services provide secure, elastic storage for large datasets. Examples are Amazon S3 and Azure Blob Storage, which make data readily accessible and analyze-able.

8.  Security as a Service (SecaaS) – SecaaS secures data through identity management, encryption, and threat detection. SecaaS guarantees compliance with privacy laws, and cloud environments are thus made secure.

19 Cloud Computing Skills to Master by 2025

Cloud computing is expanding rapidly, and companies require professionals equipped with the ideal skills. For those interested in establishing a good career in cloud computing, you need to master these skills if you want to remain ahead of the game.

1. Cloud Security

Cloud computing refers to keeping and handling confidential business information online. Therefore, security is extremely crucial. A single security violation can expose customer information, damage a company's reputation, and result in huge losses. That is why cloud security experts are in great demand.

iCert Global's free Certified Cloud Security Professional (CCSP) course is a good place to begin. It has seven hours of self-directed video lessons covering cloud security risks, vulnerabilities, and security architecture. Once you are ready for certification, you can enroll in the full CCSP Certification Training Course. It has live instructor sessions, self-directed videos, hands-on projects, and a voucher for the certification exam.

2. Machine Learning and AI

Artificial intelligence (AI) and machine learning (ML) are revolutionizing industries. Numerous cloud providers provide AI and ML capabilities. This simplifies the use of advanced analytics by businesses in their operations. This has resulted in the growth of Machine Learning as a Service (MLaaS), which is projected to grow at a high rate.

Mixing cloud computing skills with AI and ML boosts your worth as a cloud professional. This can lead to exciting job opportunities.

3. Cloud Deployment and Migration

More companies are moving their IT systems to the cloud. Others are switching between cloud platforms. Cloud migration needs experts to move data safely. They must ensure there’s no downtime or security problems.

To advance your career, learn Amazon Web Services (AWS), Microsoft Azure, and Google Cloud. Employers like professionals who are familiar with all three leading platforms.

4. Database Skills

We create 2.5 quintillion bytes of data daily. Companies utilize cloud databases to store and process vast amounts of data. There is a high demand for professionals who are familiar with cloud databases and query languages.

If you are in the IT sector, now is the best time to learn database technology. This will enhance your cloud computing competence.

5. DevOps

DevOps refers to Development and Operations. It's a system that maximizes software development and release. It enables groups to automate updates, release changes quickly, and enhance cloud-based applications effectively.

DevOps is employed by most cloud businesses. It enables them to simplify processes. Therefore, it's an important skill for cloud professionals.

6. Programming

To work in cloud computing, you require automation programming skills, resource management skills, and cloud application building skills.

• Scripting Languages: Scripting languages such as Python, Bash, or PowerShell help automate work and control cloud resources.

• Infrastructure as Code (IaC) simplifies managing cloud resources. You can use Terraform, Ansible, and CloudFormation to do this using code. This method accelerates setup and makes management easier.

• API Integration: Most cloud platforms (AWS, Azure, Google Cloud) have APIs. Familiarity with them assists in automating operations and integrating cloud services seamlessly.

7. Network Management

Being familiar with cloud networking assists in developing secure and effective cloud environments.

•  Virtual Networking: Familiarize yourself with Virtual Private Cloud (VPC), subnets, security groups, and routing to develop secure cloud networks.

• Network Security: Cloud networks must be secured through firewalls, VPNs, and access control lists to keep cyber attacks at bay.

• Content Delivery: Cloudflare and AWS CloudFront services assist in accelerating website speed and enhancing user experience.

8. Automation

Automation is central to managing big cloud environments effectively.

• Orchestration Tools: Kubernetes and Docker Swarm are employed for managing and scaling applications.

• Serverless Computing: Using AWS Lambda and Azure Functions, you can execute code with ease. No server management required.

• CI/CD Pipelines: Jenkins, Travis CI, and CircleCI are some of the tools that automate software deployment and testing. This accelerates updates.

• Monitoring and Alerting: Prometheus, Grafana, and CloudWatch are some of the tools that aid in identifying issues in cloud infrastructure early.

9. Linux

Linux is prevalent in cloud computing, so learning it is crucial.

•  Operating System Knowledge: Get to know Linux systems. You’ll learn about file systems, user permissions, and how to manage packages.

•  Shell Scripting: Bash scripting helps automate cloud tasks and manage virtual machines.

•  Security: Linux security practices protect cloud resources. This includes firewall settings, access controls, and system hardening.

10. Communication

Technical skills alone aren’t enough—strong communication and teamwork are also important.

•  Clear Communication: Cloud professionals must explain technical ideas to non-technical teams and clients.

•  Teamwork: Cloud projects necessitate working with various teams, and hence teamwork is essential.

•  Documentation: Keeping proper documentation helps in troubleshooting, system maintenance, and knowledge sharing.

11. Change Management

Cloud computing evolves daily, and experts need to be prepared for adapting.

• Flexibility: Cloud environments keep on changing frequently, and hence experts must learn new technology and best practices.

• Planning and Implementation: Proper management of changes avoids downtime. Planning, testing, and rolling out updates smoothly is a required skill.

• Risk Management: Cloud changes may pose risks. Experts need to identify possible issues and create plans to reduce them.

12. Virtualization

Virtualization enables several virtual machines (VMs) to be executed on one physical machine, making cloud computing more efficient.

• Hypervisor Technology: Knowledge of tools such as VMware, KVM, and Hyper-V assists in deploying VMs.

• Containerization: Docker and Kubernetes enhance flexibility and scalability in cloud applications.

• Resource Management: CPU, memory, and storage management in virtual environments reduces costs and enhances performance.

13. Containers

Containers render applications portable, stable, and simple to scale.

• Docker: It is essential to learn how to create, manage, and deploy Docker containers.

• Container Orchestration: Kubernetes and Docker Swarm assist in managing and scaling applications.

• Security: Employ best practices such as image scanning, runtime security, and access control to secure containers.

• Microservices Architecture: Containers are well-suited to microservices, where applications are developed as small, individual services.

14. Disaster Recovery

Disaster recovery provides business continuity in case of unforeseen failures.

• Planning: Develop extensive recovery plans to manage outages and failures.

• Backup and Restore: Utilize cloud backup tools such as AWS Backup or Azure Site Recovery to safeguard data.

• High Availability: Create systems that are still available despite failures.

• Testing and Simulation: Test recovery procedures regularly to make sure they function.

15. Data Migration

Data migration transfers data from one system to another, particularly when moving to the cloud.

• Data Assessment: Determine what data must be migrated and its structure.

• Data Transformation: Clean and transform data for compatibility with cloud platforms.

• Data Transfer Tools: Implement AWS DataSync, Azure Data Factory, or Google Cloud Storage Transfer for seamless migrations.

• Data Validation: Validate data integrity after migration with validation checks.

16. Cloud Orchestration

Cloud orchestration streamlines cloud management activities, minimizing human errors.

• Automated Deployment: Implement tools such as Terraform and Ansible to automate infrastructure deployment.

• Scalability: Orchestration makes resources scale dynamically depending on demand.

• Workflow Automation: Automate server provisioning, software installation, and monitoring.

• Integration: Orchestration allows various cloud services to integrate harmoniously.

17. Performance Testing, Metrics, and Analytics

Cloud systems need to be tested and monitored to provide seamless performance.

• Load Testing: Test how well a system can deal with growing traffic.

• Real-time Metrics: Utilize tools such as CloudWatch and Prometheus to monitor system performance.

• Capacity Planning: Utilize performance data to forecast and manage future resource capacities.

• User Experience Analytics: Track user interactions to enhance cloud application performance.

18. Analytics

Cloud analytics enables companies to base their decisions on data.

• Data Analysis: Identify trends and patterns in order to make informed decisions.

• Predictive Analytics: Make future trend predictions and refine business strategies using historical data.

• Business Intelligence (BI): Software such as Power BI and Tableau visualize data in reports and dashboards.

• Machine Learning: Cloud AI software such as AWS SageMaker and Google AI enable the derivation of insights from big data.

19. Application Programming Interfaces (APIs)

APIs enable various apps to communicate with one another:

• Interoperability: APIs enable various software to work together even if they're developed on disparate technologies.

• Development Efficiency: APIs offer pre-built functions, reducing the time required by developers.

• Scalability: APIs enable individual system components to scale independently.

• Innovation: APIs enable third-party integrations, facilitating new features and services.

How to Get Started with Cloud Computing?

To become proficient in cloud computing skills, do the following:

1. Evaluate Your Skills: Determine what you know and what you need to know.

2. Select the Correct Course: Select a course that aligns with your objectives.

3. Get Hands-on Experience: Learn by doing with cloud platforms to build your skills.

4. Become a Part of Communities: Participate in online forums and communities to remain current.

5. Enhance Soft Skills: Communication and collaboration are crucial in cloud projects.

6. Get Certified: Obtaining cloud certifications will enhance your career prospects.

Ready to be a cloud professional? iCert Global offers cloud computing courses. You can acquire the latest expertise in AWS, Azure, and Google Cloud Platform.

Top Certifications for Cloud Computing Professionals

Obtaining a cloud computing certification is a wise step to demonstrate your skills and enhance your career. Below are the top certifications for cloud professionals:

1. Cloud Computing and DevOps Certificate Program

This course covers cloud computing and DevOps in depth. It is provided with assistance from E&ICT Academy, IIT Kanpur, Microsoft Azure, and AWS.Learn Microsoft Azure and AWS with live classes by IIT Kanpur faculty.

• Access Microsoft Learn and an exclusive Generative AI Masterclass.

•  Develop hands-on skills with 30+ projects and several labs.

2. Cloud Computing and DevOps Certificate Program

This certification collaborates with E&ICT Academy, IIT Guwahati, AWS, and Microsoft Azure. It's perfect for individuals who wish to become experts in cloud infrastructure, Azure, DevOps, and AWS.

•  Comprises 40+ hands-on projects and 20+ tools.

•  Provides an opportunity to attend IIT Guwahati masterclasses and campus immersion.

• Achieve Executive Alumni Status from IIT Guwahati.

3. Post Graduate Program in Cloud Computing

This certification collaborates with Caltech. It also corresponds with Microsoft Azure and AWS.

• Obtain Caltech CTME Circle membership on LinkedIn.

• Learn from Caltech CTME instructors and AWS content directly.

• Achieve 40+ hands-on projects, labs, and a capstone project.

• Earn 15 Continuing Education Units (CEUs) upon graduation.

4. Cloud Architect Master's Program

This course is for individuals looking to pursue a career in cloud architecture. It specializes in AWS, Microsoft Azure, and Google Cloud Platform.

• Learn to design and deploy scalable cloud services.

• MS Azure exam voucher included.

• Obtain content created by AWS professionals.

5. AWS Cloud Architect Master's Program

This program enables professionals to master AWS Cloud Architecture.

• Aligns with the AWS SAA-C03 exam.

• Offers lifetime access to videos and class recordings.

• Learn 20+ in-demand cloud tools to enhance your resume.

6. Microsoft Azure Cloud Architect Master's Program

This Microsoft Azure certification educates students on important Azure concepts. It prepares students for the AZ-900, AZ-305, and AZ-104 exams.

• Delivers an exam voucher and official Microsoft learning content.

• Covers more than 20 Azure cloud tools and skills.

•  Created for professionals wanting to develop skills in Azure cloud computing.

7. Google Professional Cloud Architect Certification

This Google Cloud certification deals with designing, building, and administering secure cloud solutions.

•  Trained by Google-certified instructors.

•  Practically experiences with hands-on lab.

•  Includes self-learning material and simulation tests.

•  Corporate training available.

8. AWS Cloud Practitioner Essentials

This foundational AWS certification covers cloud concepts, architecture, and AWS services.

•  Get AWS-authored content.

•  Learn AWS storage, networking, and databases.

•  Available for corporate training.

9. Cloud Operations on AWS

This AWS course teaches networking, security, and system management in the AWS cloud.

•  Covers installation, monitoring, automation, and troubleshooting.

•  Best for IT professionals and system administrators.

•  Includes hands-on labs using AWS Skill Builder.

•  Available for corporate training.

10. Google Associate Cloud Engineer Certification

This course prepares candidates for the Google Associate Cloud Engineer exam via hands-on exercises.

• Logging, monitoring, deployment, and cost optimization covered.

• 10+ Google Cloud services.

• Corporate training or individual online bootcamps available.

Career Paths in Cloud Computing

Following jobs can be applied for after obtaining cloud certifications:

1. Systems Administrator

• Maintains computer and network systems.

• Provides seamless Wi-Fi, LAN, and WAN connectivity.

2. Java Cloud Developer

• Develops and designs Java cloud applications.

• Works with teams to implement client solutions.

3. Cloud Engineer

• Deploys and maintains cloud infrastructure.

• Manages data and helps development teams.

4. Cloud DevOps Engineer

• Automates software delivery and enhances development lifecycles.

• Manages continuous integration and delivery (CI/CD).

5. Cloud Solutions Architect

• Designs scalable cloud architectures.

• Selects the most appropriate technologies for business requirements.

• Plans cloud strategies with low risk.

How to obtain Cloud Computing certification? 

We are an Education Technology company providing certification training courses to accelerate careers of working professionals worldwide. We impart training through instructor-led classroom workshops, instructor-led live virtual training sessions, and self-paced e-learning courses.

We have successfully conducted training sessions in 108 countries across the globe and enabled thousands of working professionals to enhance the scope of their careers.

Our enterprise training portfolio includes in-demand and globally recognized certification training courses in Project Management, Quality Management, Business Analysis, IT Service Management, Agile and Scrum, Cyber Security, Data Science, and Emerging Technologies. Download our Enterprise Training Catalog from https://www.icertglobal.com/corporate-training-for-enterprises.php and https://www.icertglobal.com/index.php

Popular Courses include:

• Project Management: PMP, CAPM ,PMI RMP

• Quality Management: Six Sigma Black Belt ,Lean Six Sigma Green Belt, Lean Management, Minitab,CMMI

• Business Analysis: CBAP, CCBA, ECBA

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• Scrum Training: CSM

• DevOps

• Program Management: PgMP

• Cloud Technology: Exin Cloud Computing

• Citrix Client Adminisration: Citrix Cloud Administration

The 10 top-paying certifications to target in 2024 are:

• Certified Information Systems Security Professional® (CISSP)

• AWS Certified Solutions Architect

• Google Certified Professional Cloud Architect 

• Big Data Certification

• Data Science Certification

• Certified In Risk And Information Systems Control (CRISC)

• Certified Information Security Manager(CISM)

• Project Management Professional (PMP)® Certification

• Certified Ethical Hacker (CEH)

• Certified Scrum Master (CSM)

Get Started with Cloud Certifications!

Cloud computing is a rapidly growing profession, and certifications will differentiate you. iCert Global offers cloud certification training in AWS, Azure, and Google Cloud. You will become successful in your profession through this training.

FAQs on Cloud Computing Careers

1. How can I transition to a cloud computing career?

To begin with cloud computing, learn the fundamentals. You can take online courses, read books, or training programs. Practice with AWS, Azure, or Google Cloud. Get certified to demonstrate your abilities. Networking, participating in cloud communities, and applying for internships or entry-level positions can also assist.

2. What are the current trends in cloud computing?

Some of the significant cloud computing trends are:

• Serverless computing (executing apps without handling servers)

• Edge computing (processing data near users)

• Hybrid and multi-cloud adoption (utilizing multiple cloud providers)

• Cloud security enhancements

• AI and machine learning integration

• Containers and Kubernetes (for application deployment and management)

Staying abreast of these trends will keep you ahead of the curve.

3. What are some challenges cloud professionals encounter?

Cloud professionals encounter:

• Managing multi-cloud environments (operating with AWS, Azure, and Google Cloud)

• Performance issues (ensuring cloud services operate optimally)

• Security and privacy issues (securing sensitive information)

• Staying current with fast-evolving cloud technology

 4. How is cloud development distinct from cloud architecture?

• Cloud development: Concerned with developing and deploying cloud applications.

• Cloud architecture: It defines the overall structure. It also selects the optimal cloud models and services.

5. Does cloud computing involve coding?

No, coding is not always necessary for cloud computing. Most cloud practitioners work on AWS, Azure, and Google Cloud without coding. But having minimal programming skills (Python, Java, or scripting) is a plus.

6. Is cloud computing a technical skill?

Yes! Cloud computing is a technical skill. It is all about working with cloud platforms, storage, networking, security, and data management.

7. Do I need SQL for cloud computing?

Yes, SQL is great for cloud computing. It helps manage databases, handle large data, and boost performance.

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