How to Become a Cloud Engineer: Skills, Roadmap, Courses & Career Path
Cloud engineering is a growing technology career focused on building, managing, deploying, and maintaining applications and infrastructure on cloud platforms.
If you are interested in becoming a Cloud Engineer, you do not need to learn every cloud technology at once. A better approach is to first understand computer systems and networking, then learn Linux, cloud platforms, databases, security, and automation.
This guide explains how to become a Cloud Engineer from beginner level, which skills to learn, popular cloud platforms, certifications, practical projects, and possible career paths.
What Does a Cloud Engineer Do?
A Cloud Engineer works with cloud-based infrastructure and services used to run applications and store data.
Depending on the organization and role, a Cloud Engineer may work on:
- Cloud infrastructure
- Virtual machines
- Storage
- Databases
- Networking
- Identity and access management
- Cloud security
- Application deployment
- Monitoring and troubleshooting
- Automation
- Backup and disaster recovery
The exact responsibilities vary between companies and job roles.
How to Become a Cloud Engineer
A practical Cloud Engineering roadmap can be divided into several stages:
Computer Fundamentals → Networking → Linux → Cloud Platform → Databases → Security → DevOps & Automation → Projects → Certification → Job Preparation
You don’t need to master everything before starting with cloud. However, understanding the fundamentals makes cloud services much easier to learn.
Step 1: Learn Computer Fundamentals
Start by understanding how computer systems work.
Important concepts include:
- Operating systems
- CPU and memory
- Storage
- Files and directories
- Processes
- Applications
- Client-server architecture
- Virtualization
You don’t need advanced hardware knowledge. The objective is to understand the basic components that cloud infrastructure is built upon.
Step 2: Learn Networking
Networking is one of the most important foundations for a Cloud Engineer.
Start with:
- IP addresses
- IPv4 and IPv6
- Subnets
- DNS
- DHCP
- TCP/IP
- TCP and UDP
- Ports
- Routers and switches
- Firewalls
- VPNs
- HTTP and HTTPS
Later, learn cloud networking concepts such as:
- Virtual networks
- Subnets
- Routing tables
- Security groups
- Load balancers
- Private and public networks
A good understanding of networking will help you troubleshoot many cloud infrastructure problems.
Step 3: Learn Linux
Linux is widely used for servers and cloud infrastructure, so basic Linux knowledge is valuable.
Start with commands such as:
pwd
ls
cd
mkdir
cp
mv
rm
cat
grep
find
chmod
ps
top
You should also understand:
- File permissions
- Users and groups
- Processes
- Services
- Package management
- SSH
- Environment variables
- Basic shell scripting
You don’t need to memorise every command. Focus on understanding how Linux systems work and practise regularly.
Step 4: Choose a Cloud Platform
Once you understand networking and Linux fundamentals, choose one major cloud platform and learn it properly.
The major platforms include:
- Amazon Web Services (AWS)
- Microsoft Azure
- Google Cloud
You don’t need to learn all three at the beginning.
Start with one platform and understand its core services before moving to another.
AWS
Important services to explore include:
- EC2
- S3
- VPC
- IAM
- RDS
- CloudWatch
- Elastic Load Balancing
Microsoft Azure
You can start with services such as:
- Virtual Machines
- Blob Storage
- Virtual Network
- Microsoft Entra ID
- Azure SQL
- Azure Monitor
Google Cloud
Important services include:
- Compute Engine
- Cloud Storage
- VPC
- Cloud SQL
- IAM
- Cloud Monitoring
The service names differ between providers, but many of the underlying cloud concepts are similar.
Step 5: Learn Cloud Storage and Databases
Cloud applications need somewhere to store files and data.
Learn the difference between:
- Object storage
- Block storage
- File storage
- Relational databases
- NoSQL databases
You should understand concepts such as:
- Data durability
- Backups
- Replication
- Availability
- Database security
- Access control
Practical cloud projects will help you understand when different storage and database services are used.
Step 6: Learn Cloud Security
Security is an important part of cloud engineering.
Start with:
- Identity and access management
- Authentication
- Authorization
- Encryption
- Network security
- Firewalls
- Secrets management
- Security monitoring
- Least-privilege access
One of the most important concepts is least privilege: users and services should receive only the permissions they actually need.
Avoid treating security as something to learn only after you understand cloud infrastructure. Basic security practices should be part of every cloud project.
Step 7: Learn DevOps and Automation
Modern cloud environments rely heavily on automation.
After learning the cloud fundamentals, start exploring:
- Git
- CI/CD
- Docker
- Kubernetes
- Infrastructure as Code
- Terraform
- Configuration management
- Monitoring and logging
You can start with Git and Docker before moving into more advanced technologies such as Kubernetes.
Infrastructure as Code
Infrastructure as Code allows you to define infrastructure through configuration files instead of manually creating every resource.
Tools such as Terraform are commonly used for this purpose.
Learning Infrastructure as Code can help you understand how cloud infrastructure can be created, changed and managed consistently.
Step 8: Learn Programming and Scripting
A Cloud Engineer does not necessarily need to be an expert software developer, but scripting and programming skills are useful.
You can learn:
- Python
- Bash
- PowerShell
Focus on practical skills such as:
- Variables
- Conditions
- Loops
- Functions
- Working with files
- APIs
- Automation scripts
The goal is to automate repetitive tasks and work more efficiently with cloud infrastructure.
Step 9: Build Cloud Projects
Projects are one of the best ways to turn cloud concepts into practical skills.
Begin with simple projects and gradually increase their complexity.
Project 1: Deploy a Website
Deploy a simple website on a cloud server and configure:
- Server
- Domain
- DNS
- HTTPS
- Basic monitoring
Project 2: Build a Cloud Storage System
Create a small application that stores files using cloud object storage.
Learn:
- Storage permissions
- Access control
- File uploads
- Security
- Backups
Project 3: Deploy an Application
Deploy a basic web application with:
- Cloud server
- Database
- Networking
- Security rules
- Monitoring
Project 4: Infrastructure as Code
Use Terraform to create cloud infrastructure instead of creating resources manually.
This can help demonstrate practical infrastructure-management skills when building a portfolio.
Cloud Engineer Certification Path
Certifications are not the only way to learn cloud engineering, but they can provide a structured learning path and demonstrate knowledge of a particular cloud platform.
Popular certification paths include:
AWS
You can explore AWS certifications starting with foundational knowledge and then move toward associate-level cloud and architecture certifications.
Microsoft Azure
Azure offers certification paths covering areas such as Azure fundamentals, administration, development and architecture.
Google Cloud
Google Cloud also offers certifications covering foundational, associate and professional-level cloud skills.
Choose certifications based on the cloud platform and role you want to pursue rather than collecting certificates from multiple platforms without practical experience.
Skills Required to Become a Cloud Engineer
| Skill | Why It Matters |
|---|---|
| Networking | Helps manage and troubleshoot cloud infrastructure |
| Linux | Commonly used for cloud servers and infrastructure |
| Cloud Platforms | Provides the core infrastructure and services |
| Security | Protects applications, accounts and infrastructure |
| Databases | Helps manage application data |
| Git | Useful for version control and collaboration |
| Docker | Helps package and deploy applications |
| Terraform | Automates infrastructure deployment |
| CI/CD | Automates application delivery |
| Monitoring | Helps identify performance and infrastructure problems |
| Scripting | Automates repetitive tasks |
Cloud Engineer Career Path
A possible career progression can look like:
Cloud Fundamentals
↓
Cloud Support / Junior Cloud Role
↓
Cloud Engineer
↓
Senior Cloud Engineer
↓
Cloud Architect / Cloud Security / DevOps / Platform Engineering
The exact progression depends on your skills, experience and the organization you work for.
How Long Does It Take to Become a Cloud Engineer?
There is no fixed timeline because people start with different levels of technical knowledge.
A learner starting from scratch could structure their learning approximately like this:
| Stage | Main Focus |
|---|---|
| 1–2 Months | Computer and networking fundamentals |
| 2–4 Months | Linux and basic scripting |
| 4–6 Months | One cloud platform and core services |
| 6–9 Months | Security, databases and cloud projects |
| 9–12 Months | DevOps, automation and advanced projects |
These are learning stages rather than guaranteed timelines. Your progress will depend on your previous experience, study time and practical work.
Common Mistakes Beginners Make
| Mistake | Better Approach |
|---|---|
| Learning AWS, Azure and Google Cloud together | Start with one platform and build a strong foundation. |
| Ignoring networking | Learn networking before going deep into cloud infrastructure. |
| Only watching tutorials | Build projects and practise what you learn. |
| Collecting certifications without practice | Combine certifications with hands-on projects. |
| Skipping Linux | Learn basic Linux administration and troubleshooting. |
| Ignoring security | Include IAM, encryption and access control in your learning from the beginning. |
| Learning too many tools at once | Learn one technology at a time and understand how it fits into the cloud environment. |
Can I Become a Cloud Engineer Without a Degree?
A degree in computer science, information technology or a related field can be useful, particularly for getting started in technology careers.
However, your practical skills, projects, technical knowledge and experience can also be important when applying for cloud-related roles.
If you are starting without a technical background, focus first on networking, Linux, cloud fundamentals and practical projects.
Frequently Asked Questions
What should I learn first to become a Cloud Engineer?
Start with computer fundamentals and networking. Then learn Linux, choose one cloud platform and gradually move into cloud security, databases, automation and DevOps.
Which cloud platform should I learn first?
You can start with AWS, Azure or Google Cloud. Instead of trying to learn all three simultaneously, choose one and understand its fundamental services properly.
Is coding required to become a Cloud Engineer?
Programming is not always the primary responsibility of a Cloud Engineer, but scripting and automation skills are highly useful. Python, Bash and PowerShell are good options to learn.
Is Linux necessary for Cloud Engineering?
Linux knowledge is highly useful because many cloud servers and infrastructure environments use Linux.
Is networking important for Cloud Engineers?
Yes. Networking is a fundamental part of cloud infrastructure. Understanding IP addresses, subnets, DNS, routing, ports and firewalls makes cloud networking much easier to learn.
Are certifications necessary to become a Cloud Engineer?
Certifications are not the only route into cloud engineering. They can provide structured learning and demonstrate knowledge, but practical experience and projects are also important.
Can a fresher become a Cloud Engineer?
Yes. A fresher can work toward cloud-related roles by developing strong fundamentals, gaining hands-on experience and building relevant projects. Entry-level opportunities may also involve cloud support, infrastructure support or junior DevOps responsibilities before progressing into more specialized roles.
What projects should I build for a Cloud Engineer portfolio?
Start with projects such as deploying a website, configuring cloud storage, deploying a web application, setting up monitoring, and managing infrastructure using Terraform.