A cloud engineer builds, deploys, monitors, and supports systems running on platforms such as Amazon Web Services and Microsoft Azure. The job may involve virtual servers, storage, networking, identity management, containers, automation, security, and troubleshooting.
You do not need to master every cloud platform before applying for your first role. A better strategy is to learn the shared foundations, choose one main platform, build several working projects, and develop enough Linux and automation knowledge to explain how your systems operate.
This beginner cloud engineer roadmap for 2026 covers the skills you should learn, the order in which to learn them, and the projects that can help you prove your ability to employers. For a deeper breakdown of certification order and timelines, see this detailed cloud engineer roadmap.
1. Start With Cloud and Networking Fundamentals
Do not begin by memorizing the names of hundreds of AWS or Azure services. First, understand the problems that cloud platforms solve.
Learn these core cloud concepts:
- Public, private, and hybrid cloud
- Infrastructure as a Service, Platform as a Service, and Software as a Service
- Regions and availability zones
- Scalability and elasticity
- High availability
- Shared responsibility
- Consumption-based pricing
- Backup and disaster recovery
Networking is equally important. A cloud engineer must understand how systems communicate.
Focus on:
- IP addresses and subnetting
- Public and private networks
- DNS
- HTTP and HTTPS
- Ports and protocols
- Routing
- Firewalls
- Load balancers
- Network address translation
- Virtual private networks
You do not need advanced network-engineering knowledge at the beginning. However, you should be able to explain how a browser request reaches an application hosted on a cloud server.
Microsoft's Azure Fundamentals learning path covers cloud concepts, core services, management, and governance. AWS Skill Builder also provides foundational training and hands-on learning for new cloud learners. If you are unsure which foundational certification fits your goals, this comparison of AZ-900 vs CLF-C02 vs Google Cloud Digital Leader breaks down the differences between the three entry-level exams.
2. Choose AWS or Azure as Your First Platform
Learning two platforms at the same time often slows beginners down. Choose one as your main platform for the first three to four months. This decision is one of the most important steps in any beginner cloud engineer roadmap, since it shapes every certification and project that follows.
Select AWS when job listings in your area frequently mention services such as EC2, S3, IAM, RDS, Lambda, and CloudWatch.
Select Azure when local employers use Microsoft 365, Windows Server, Active Directory, Entra ID, or other Microsoft technologies.
The concepts transfer between platforms:
Your goal is not to memorize this table. You should deploy and manage these services yourself.
For AWS, begin with IAM, EC2, S3, VPC, RDS, Route 53, CloudWatch, and basic cost management. AWS recommends foundational cloud knowledge before progressing to the Solutions Architect Associate level, particularly for candidates without prior IT experience. If you plan to build a certification path on AWS specifically, this AWS certifications roadmap lays out the recommended order from foundational to professional-level exams, and the AWS certification category page covers exam guides for each level.
For Azure, begin with resource groups, virtual machines, storage accounts, virtual networks, Entra ID, Azure Monitor, and role-based access control. The Azure Administrator path focuses on implementing, managing, and monitoring Azure environments.
3. Learn Linux for Cloud Engineering
Most cloud workloads run on Linux. Even when a company uses Windows, Linux knowledge remains valuable for containers, web servers, automation, and DevOps tools.
Install Ubuntu in a virtual machine or use a low-cost cloud instance. Practice working without relying on the graphical interface.
Learn how to:
- Navigate directories
- Create, copy, move, and remove files
- Manage users and groups
- Read and change file permissions
- Install software packages
- Start and stop services
- Check processes and memory
- Review system logs
- Connect through SSH
- Use pipes and text-processing commands
- Configure basic networking
- Write simple Bash scripts
Commands such as cd, ls, grep, find, chmod, chown, systemctl, ps, top, curl, and ssh should become familiar through use rather than memorization.
The Linux Foundation's introductory training covers Linux commands, filesystems, user accounts, security, networking, system administration, and Git-related development skills.
A useful beginner project is to launch a Linux server, create a non-root administrative user, secure SSH access, install Nginx, publish a basic website, and inspect the server logs.
4. Add Git and Basic Scripting
Cloud engineers rarely configure everything manually. Learn enough scripting to automate repeated work and enough Git to track your changes.
Start with:
- Git repositories, commits, branches, and pull requests
- Bash scripting
- Basic Python
- JSON and YAML
- Environment variables
- API fundamentals
You do not need to become a full-time software developer. You should be able to read a script, modify it, troubleshoot an error, and automate a simple administrative task.
Store every project in GitHub with a useful README file. Explain the problem, architecture, deployment process, security decisions, cost considerations, and lessons learned.
After learning the basics of Git, create a simple GitHub Actions workflow that runs checks or deploys an application when code is pushed. GitHub's official documentation defines workflows as automated processes composed of jobs and steps.
5. Learn Infrastructure as Code
Once you can create resources through the AWS or Azure portal, stop building everything by clicking buttons.
Infrastructure as Code allows you to describe cloud resources in configuration files. This makes deployments repeatable, easier to review, and easier to rebuild.
Terraform is a practical first choice because it can work across several cloud providers. You can later learn AWS CloudFormation or Azure Bicep if your target role requires a platform-specific tool.
Your first Infrastructure as Code project could create:
- A virtual network
- Public and private subnets
- A security group
- A Linux virtual machine
- An object-storage bucket
- Output values for important resource details
Do not place passwords or access keys directly in configuration files. Learn how variables, secrets, state files, and .gitignore rules work.
6. Learn Docker Before Kubernetes
Docker packages an application and its dependencies into a portable container image. Learn Docker before attempting Kubernetes.
Begin with:
- Images and containers
- Dockerfiles
- Ports
- Volumes
- Environment variables
- Container logs
- Networks
- Docker Compose
- Container registries
Docker's official beginner material includes a guided workshop and lessons on building and running containerized applications.
A strong portfolio project is to containerize a small web application, connect it to a database with Docker Compose, store configuration in environment variables, and document the commands required to run it.
7. Learn Kubernetes at a Practical Beginner Level
Kubernetes manages containerized workloads across a cluster. It handles deployment, scaling, service discovery, updates, and recovery, but it introduces many new concepts. Learn it only after you are comfortable with Linux, networking, YAML, and Docker.
Focus on:
- Clusters and nodes
- Pods
- Deployments
- Services
- ConfigMaps
- Secrets
- Namespaces
- Ingress
- Persistent storage
- Health checks
- Scaling
- Rolling updates
A Kubernetes cluster contains a control plane and worker nodes, while Pods are the smallest deployable computing units managed through Kubernetes.
Use Minikube, Kind, or a managed cloud Kubernetes service for practice. The official Kubernetes Basics tutorial walks through creating a cluster, deploying an application, exposing it, scaling it, and updating it.
Do not make Kubernetes your entire beginner roadmap. Many junior cloud roles value strong Linux, networking, IAM, and troubleshooting skills more than shallow Kubernetes knowledge.
8. Build Job-Ready Cloud Projects
Certificates may help your résumé pass an initial screen, but projects give you something meaningful to discuss during interviews.
Build at least three projects:
Secure Static Website
Host a website using object storage, DNS, HTTPS, and a content-delivery network. Add access controls, monitoring, and a simple cost estimate.
Highly Available Web Application
Deploy an application across multiple availability zones using a load balancer, virtual machines or containers, a managed database, logging, and backup.
Automated Container Deployment
Containerize an application, store its image in a registry, deploy it through Infrastructure as Code, and create a CI/CD workflow.
For every project, include an architecture diagram, setup instructions, screenshots, security notes, estimated cost, and a troubleshooting section.
9. Use Certifications As A Starting Point
A beginner certification can provide structure, but it should support hands-on learning rather than replace it.
For AWS, Cloud Practitioner can help complete beginners understand the platform before moving toward an associate-level certification. For Azure, AZ-900 covers foundational concepts, while Azure Administrator Associate aligns more closely with operational cloud work. If you want to compare foundational-level exams across providers before committing, revisit the AZ-900 vs CLF-C02 vs Google Cloud Digital Leader comparison. If AWS is your chosen path, the AWS certifications roadmap shows how Cloud Practitioner connects to Solutions Architect Associate and beyond.
Do not collect several entry-level certificates without building anything. One relevant certification plus three strong projects is usually more convincing than multiple certificates with no practical evidence.
10. Apply Beyond Cloud Engineer Roles
Your first cloud-related position may not be titled "Cloud Engineer."
Search for roles such as:
- Junior cloud engineer
- Cloud support associate
- Technical support engineer
- Systems administrator
- Linux administrator
- Infrastructure technician
- Junior DevOps engineer
- Network operations technician
- Platform support engineer
Tailor your résumé to each role. List tools inside project descriptions instead of creating a long keyword-only skills section.
For example, write that you "deployed a highly available AWS application using EC2, an Application Load Balancer, RDS, IAM, CloudWatch, and Terraform." This shows what you did and how the tools worked together.
A Realistic 2026 Cloud Engineer Roadmap
Spend the first month on cloud, networking, and Linux fundamentals. Use months two and three to learn one cloud platform and build small labs. Add Git, scripting, and Infrastructure as Code in month four. Study Docker and CI/CD in month five. Learn the basics of Kubernetes and complete your strongest portfolio project in month six.
The timeline may be shorter or longer depending on your existing experience. What matters is consistent practice.
The fastest path to a first cloud job is not learning every tool. It is developing solid fundamentals, choosing one cloud platform, building working systems, documenting your decisions, and showing that you can troubleshoot when something fails.
