- Vishakha Sadhwani
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- Become a 10/10 Cloud Engineer in 2026 and Beyond
Become a 10/10 Cloud Engineer in 2026 and Beyond
7 steps that actually get you building, deploying, and hired in 2026.
Most people learning cloud watch a hundred hours of tutorials and still can't deploy anything. The engineers who stand out do the opposite: they build the muscle memory, pick one platform, and ship real things.
Here's the seven-step path, with a free hands-on resource for every step.
Make Linux a daily habit
Almost every server, container, and cloud instance runs on Linux. You can't be a cloud engineer and freeze at the terminal. The fix isn't another video, it's reps. Do a short lab every single day until the commands are muscle memory.
Daily Linux labs: KodeKloud Linux Labs
More free hands-on labs: KodeKloud Studio Labs
Rule: one lab a day, even a small one. Consistency beats intensity here.
Get networking and system design basics right before cloud
Cloud is just someone else's computers wired together over a network. If you don't understand DNS, ports, load balancers, and how a request actually travels, every cloud service will feel like magic you can't debug. Lock these fundamentals in first.
Networking: Learn Networking in 25 Minutes (crash course)
System Design: System Design Concepts Crash Course
Choose ONE cloud provider and go deep for 3 months
Do not learn three clouds at once. Pick one, learn its core building blocks (compute, storage, networking, IAM), and go deep. The concepts transfer later; the depth is what makes you employable now. Use one roadmap crash course to map the landscape, then build.
Azure: Azure roadmap crash course
OCI: Oracle MyLearn
If you're unsure which to pick: AWS has the most jobs, Azure wins in enterprise, GCP is strong for data/AI. Any of them is a fine first choice, just commit.
Build five end-to-end cloud projects and showcase them on GitHub
Certificates prove you can pass a test. Projects prove you can build. Five end-to-end projects on a clean GitHub profile will do more for your career than any single credential. This walkthrough gives you concrete project ideas to start from.
Project ideas + walkthrough: 5 Cloud Projects to Build
Push each one to GitHub with a real README: what it does, the architecture, and how to run it. That README is what a recruiter actually reads.
Complete one associate-level certification, then prioritize real projects
One associate cert is worth getting, mostly for the structure and the resume checkbox. After that, stop collecting certs and go build. Here are the five most popular associate-level cloud certs, each with a free way to prepare.
1. AWS Certified Solutions Architect – Associate (SAA-C03) — the single most popular cloud cert; broad and job-friendly.
Free course: freeCodeCamp SAA course (Andrew Brown / ExamPro)
Official: AWS SAA page
2. AWS Certified Developer – Associate (DVA-C02) — best if you want hands-on, deployment-focused proof.
Free course: freeCodeCamp Developer Associate course
Official: AWS Developer Associate page
3. Microsoft Azure Administrator (AZ-104) — the go-to associate cert in enterprise/Microsoft shops.
Free course: John Savill's AZ-104 Study Cram (YouTube)
Official: AZ-104 page
4. Google Cloud Associate Cloud Engineer (ACE) — GCP's single associate cert, close to a real entry-level cloud role.
Free course: freeCodeCamp ACE course (11-hour)
Official: Google ACE page
5. AWS Certified SysOps Administrator – Associate (SOA-C02) — the ops-heavy AWS associate cert, great for infra roles.
Pick ONE. Pass it, then get straight back to building.
Build a project manually in the console, then recreate it with Terraform
This one step teaches you more than a month of tutorials. First build something by hand in the cloud console so you understand every piece. Then throw it away and rebuild the exact same thing in Terraform. The contrast is where infrastructure-as-code finally clicks.
Project idea: a highly-available web app on AWS. Build it manually first: a VPC with public and private subnets, an internet gateway, two EC2 instances across two availability zones, an Application Load Balancer in front, and the security groups to tie it together. Click through all of it in the console. Then delete it, and recreate the identical stack from code.
Terraform walkthrough (builds exactly this stack): Terraform with AWS — Real-Time Project
Companion repo: iam-veeramalla/terraform-zero-to-hero (GitHub)
When you can spin the whole thing up and tear it down with terraform apply and terraform destroy, you've understood the point.
Move to Kubernetes once Linux, networking, and Docker are solid
Kubernetes is where a lot of beginners burn out, because they jump in before the foundations are ready. Don't. Once you're comfortable at the terminal, understand networking, and can containerize an app with Docker, then Kubernetes becomes learnable instead of overwhelming.
Docker first: Docker Crash Course
Kubernetes Part 1: The ONLY Kubernetes Course You'll Need
Kubernetes Part 2: Kubernetes for AI: Zero to Hero
Kubernetes Part 3: Kubernetes Security Best Practices
Tie it all together: All DevOps Concepts in 25 Minutes
The Whole Path, in One Line
Linux daily → networking + system design → one cloud, three months → five GitHub projects → one associate cert → console-then-Terraform → Docker → Kubernetes.
Do it in order. Build at every step. That's the difference between someone who knows about the cloud and a 10/10 cloud engineer who can actually run it.
All links above are free courses, crash courses, official docs, or free-to-follow projects. Certification names, prices, exam versions, and video availability change over time, so confirm details on the official pages before booking, and if a video link has moved, a quick search on its title will find the current version.