Learn on real servers and cloud accounts, taught by engineers who run production systems every day. For engineering and computer science students, fresh graduates and professionals moving into cloud roles.
lab-01: your practice server student@lab-01:~$ sudo systemctl status nginx Active: active (running) student@lab-01:~$ docker build -t my-app . Successfully tagged my-app:latest student@lab-01:~$ kubectl get pods NAME READY STATUS my-app-7d9f8c6b5-x2k9p 1/1 Running student@lab-01:~$ terraform apply Apply complete! Resources: 6 added.
Take one program as 6-week training, or all three in the 6-month industrial training. New to servers? Start with Linux.
The foundation for every cloud and DevOps role: run, secure and automate Linux servers.
Prepares you for RHCSA exam objectives
Automate how software is built, tested and deployed, the way product teams work today.
Prepares you for CKA and Terraform Associate exam topics
Design, deploy and run applications on Amazon Web Services, securely and on budget.
Prepares you for AWS Cloud Practitioner and Solutions Architect Associate
These are the 6-week programs. The 6-month training covers all three in more depth, with a capstone project.
Installing Linux, working in the terminal, the directory tree, editing files with vim and nano.
Managing accounts, sudo, file ownership, chmod, ACLs and password policies.
systemd, process control, logs with journalctl, installing software with dnf and apt.
IP addressing, DNS, SSH keys, firewalld and ufw, SELinux basics.
Bash scripts, variables, loops, cron jobs and log rotation.
Disks, partitions and LVM, Nginx and Apache, backup scripts, then your final project.
Branches, pull requests, code review and GitHub workflows.
Automated builds and tests with GitHub Actions and Jenkins.
Images, Dockerfiles, registries and Docker Compose.
Pods, deployments, services, ingress, config and Helm charts.
Terraform for cloud resources and Ansible for server setup.
Prometheus, Grafana and alerts, plus using AI assistants to write scripts and read logs.
Regions, the free tier, IAM users, roles and policies, MFA and budgets.
Launching instances, AMIs, EBS volumes, key pairs and security groups.
Subnets, route tables, NAT, load balancers and Route 53.
S3, RDS and DynamoDB, with backups and access control.
Auto Scaling groups, Lambda, API Gateway and SQS.
CloudWatch, Terraform on AWS and cost optimisation, then your final project.
All three programs in one path, each month building on the last, ending with a capstone project you deploy and present.
The full Linux program, with extra lab time on real servers.
Bash and Python automation, Git workflows, Nginx and databases.
IAM, EC2, VPC, S3 and RDS, built by hand before automating them.
Containers and automated pipelines with GitHub Actions and Jenkins.
Clusters on AWS, infrastructure as code, Prometheus and Grafana.
Build and present your capstone, with mock interviews and resume review.
In the final month you take an application from source code to a monitored production deployment on AWS, then present it the way engineers do at work.
A certificate with your program, dates and project details, for your college's industrial training requirement.
Every module ends in something that works, so you finish with a portfolio recruiters can open.
Practise on Linux servers and cloud lab accounts, not just slides and recorded videos.
Mentors who run Kubernetes, AWS and CI/CD for our clients, and teach from real incidents.
Mock interviews, resume and GitHub review, and the questions DevOps and cloud teams really ask.
Learn to use AI assistants for scripting, debugging and reading logs, the way teams work now.
Summer and winter batches line up with college breaks. Weekend batches suit working professionals.
| Program | Duration | Schedule | Mode | Fee |
|---|---|---|---|---|
| 6-week training in Linux, DevOps or AWS | 6 weeks | Monday to Friday, 10:00 am – 1:00 pm | Classroom or live online | ₹15,000 |
| 6-month industrial training, all three programs | 6 months | Monday to Friday, 10:00 am – 4:00 pm | Classroom or live online | ₹45,000 |
| Weekend batch for working professionals | 8 weeks | Saturday and Sunday, 10:00 am – 1:00 pm | Live online | ₹18,000 |
Fees include lab access and study material. Pay in two instalments: half at admission, half by week 3. 10% early-bird discount if you enrol 15 days before the batch starts, and 10% off for groups of 3 or more from the same college.
Students who need industrial training credit, graduates starting a cloud career, and professionals moving into DevOps.
No prior Linux experience needed. Bring a laptop with at least 8 GB of RAM, or use our lab systems.
Yes. You get a certificate of completion with your program, dates and project details, and a training letter if your college asks for one. We follow the formats of IKGPTU, Punjab University and Chandigarh University on request, and can match any other university's format if you bring a copy.
Both. Classroom batches run at our centre in Kharar, and live online batches follow the same syllabus with the same lab access.
No. We provide lab accounts for all class work, and show you how to use the AWS free tier safely for practice at home.
We run mock interviews, review your resume and GitHub, and share openings from our clients and hiring partners for up to 6 months after the training. This is placement assistance, not a job guarantee. Top performers may be offered internships on Artbroods client projects.
Yes. The Linux program starts from the basics, and it is the recommended first step before DevOps and AWS.
Fill in the form and we will call you within 1 working day to confirm your batch and answer your questions.