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Transform Your Career & Enterprise Infrastructure with DevOps Excellence

We're not just a training academy—we're a full-service DevOps consulting partner. Train your team with industry-proven expertise while we help your organization implement real-world DevOps transformations. Master Linux, AWS, Docker, Kubernetes, Jenkins, and more through hands-on training + real enterprise consulting experience. $3,000 comprehensive program with job assistance, consulting exposure, and real-world projects from our client work.

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18+
Years Experience
5,000+
Students Trained
95%
Job Placement
✨ 100% Hands-on Labs
🎓 Expert-Led Sessions
$ kubectl cluster-info
Kubernetes control plane is running at https://10.0.0.1:6443
CoreDNS is running at https://10.0.0.1:6443/api/v1
$ kubectl get nodes
NAME STATUS ROLES AGE VERSION
node-01 Ready control-plane 5d v1.28.1
node-02 Ready <none> 5d v1.28.1
node-03 Ready <none> 5d v1.28.1
$ kubectl get pods --namespace=production
NAME READY STATUS RESTARTS AGE
api-v1-abcde-12345 1/1 Running 0 2h
web-app-fghij-67890 1/1 Running 0 1h
db-server-klmno-24680 1/1 Running 0 3h
cache-redis-pqrst-13579 1/1 Running 0 45m
$ kubectl get services
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S)
api-service LoadBalancer 10.96.0.15 34.123.45.67 80:30001/TCP
web-service LoadBalancer 10.96.0.22 34.123.45.68 443:30002/TCP
$ kubectl scale deployment web-app --replicas=5
deployment.apps/web-app scaled
$ kubectl get deployments
NAME READY UP-TO-DATE AVAILABLE AGE
api-v1 3/3 3 3 5d
web-app 5/5 5 5 5d
db-server 1/1 1 1 5d
$ kubectl describe pod api-v1-abcde-12345
Name: api-v1-abcde-12345
Namespace: production
Priority: 0
Node: node-02/10.0.0.12
Start Time: Mon, 14 Oct 2025 10:30:00 -0400
Labels: app=api-v1
Status: Running
IP: 192.168.1.45
$ kubectl logs api-v1-abcde-12345 --tail=5
[2025-10-14 14:25:30] INFO: Server started on port 8080
[2025-10-14 14:25:35] INFO: Database connection established
[2025-10-14 14:25:40] INFO: Ready to accept requests
[2025-10-14 14:26:15] INFO: Processed 1,234 requests
[2025-10-14 14:27:00] INFO: Health check passed ✓
$ kubectl top nodes
NAME CPU(cores) CPU% MEMORY(bytes) MEMORY%
node-01 850m 42% 3200Mi 65%
node-02 720m 36% 2800Mi 56%
node-03 650m 32% 2600Mi 52%
$ kubectl apply -f deployment.yaml
deployment.apps/new-service created
service/new-service created
configmap/new-service-config created
$ kubectl cluster-info
Kubernetes control plane is running at https://10.0.0.1:6443
CoreDNS is running at https://10.0.0.1:6443/api/v1
$ kubectl get nodes
NAME STATUS ROLES AGE VERSION
node-01 Ready control-plane 5d v1.28.1
node-02 Ready <none> 5d v1.28.1
node-03 Ready <none> 5d v1.28.1
$ kubectl get pods --namespace=production
NAME READY STATUS RESTARTS AGE
api-v1-abcde-12345 1/1 Running 0 2h
web-app-fghij-67890 1/1 Running 0 1h
db-server-klmno-24680 1/1 Running 0 3h
cache-redis-pqrst-13579 1/1 Running 0 45m
$ kubectl get services
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S)
api-service LoadBalancer 10.96.0.15 34.123.45.67 80:30001/TCP
web-service LoadBalancer 10.96.0.22 34.123.45.68 443:30002/TCP
$ kubectl scale deployment web-app --replicas=5
deployment.apps/web-app scaled
$ kubectl get deployments
NAME READY UP-TO-DATE AVAILABLE AGE
api-v1 3/3 3 3 5d
web-app 5/5 5 5 5d
db-server 1/1 1 1 5d
$ kubectl describe pod api-v1-abcde-12345
Name: api-v1-abcde-12345
Namespace: production
Priority: 0
Node: node-02/10.0.0.12
Start Time: Mon, 14 Oct 2025 10:30:00 -0400
Labels: app=api-v1
Status: Running
IP: 192.168.1.45
$ kubectl logs api-v1-abcde-12345 --tail=5
[2025-10-14 14:25:30] INFO: Server started on port 8080
[2025-10-14 14:25:35] INFO: Database connection established
[2025-10-14 14:25:40] INFO: Ready to accept requests
[2025-10-14 14:26:15] INFO: Processed 1,234 requests
[2025-10-14 14:27:00] INFO: Health check passed ✓
$ kubectl top nodes
NAME CPU(cores) CPU% MEMORY(bytes) MEMORY%
node-01 850m 42% 3200Mi 65%
node-02 720m 36% 2800Mi 56%
node-03 650m 32% 2600Mi 52%
$ kubectl apply -f deployment.yaml
deployment.apps/new-service created
service/new-service created
configmap/new-service-config created
100%
Hands-on
27hrs
Kubernetes
15
Modules
5,000+
Students Trained
Active professionals worldwide
50+
Enterprise Clients
DevOps consulting partnerships
95%
Job Placement
Training program success
$500K+
Client Project Value
Infrastructure transformations

Why Choose Landmark Technologies

Training + Consulting hybrid approach: Learn from professionals who actively transform enterprise infrastructure while delivering real-world solutions

Hands-On Training Labs

Real-world projects and scenarios. Build production-ready CI/CD pipelines from day one using live enterprise examples.

Enterprise Consulting

Benefit from our active DevOps consulting practice. Learn techniques we use to transform Fortune 500 infrastructure daily.

AWS Cloud Mastery

Complete AWS training including EC2, S3, EBS, IAM, and architecture best practices from enterprise deployments.

Docker & Kubernetes

45+ hours of containerization training. Master Docker, Kubernetes, and orchestration at enterprise scale.

CI/CD Automation

Jenkins, Git, Maven, SonarQube integration. Automate everything from code to deployment like our consulting clients.

Infrastructure as Code

Terraform and Ansible automation. Build scalable, repeatable infrastructure - proven in 50+ client environments.

Career + Consulting Path

Get hired as a DevOps Engineer OR start your own consulting practice. We show you both paths to $150K+.

DevOps E. Degree Curriculum

Comprehensive training covering all essential DevOps tools and practices. From Linux fundamentals to advanced Kubernetes orchestration. Shaped by our consulting work with 50+ enterprise clients—learn real-world techniques proven in production environments.

🚀DevOps Introduction
0hrs
🐧Linux Administration
0hrs
�Shell Scripting
0hrs
🔀Git & GitHub
0hrs
🔨Maven Build Tool
0hrs
🐱Tomcat Application Server
0hrs
🪶Apache HTTP Server
0hrs
📊SonarQube Code Quality
0hrs
�Nexus Repository Manager
0hrs
🚀Jenkins CI/CD
0hrs
🐳Docker Containerization
0hrs
☸️Kubernetes Orchestration
0hrs
⚙️Ansible Automation
0hrs
☁️AWS Cloud Computing
0hrs
🏗️Terraform IaC
0hrs
0 Hours Total
Certificate Included

What You Get

Everything you need to become a DevOps engineer

  • Hands-on training from basic to expert level
  • Soft copy materials and interview questions
  • Real-time use case scenarios
  • Resume preparation and job assistance
  • 6 comprehensive real-world projects
  • 24/7 support and mentorship
Program Fee
$3,000
Non-refundable (Class 41)
Enroll in Class 41Download Full Syllabus →

Money-Back Guarantee

Not satisfied after the first week? Get a full refund, no questions asked.

Success Stories

Join thousands of students who transformed their careers with Landmark Technologies. Many are now employed at top companies, while others launched successful consulting practices.

Landmark Technologies transformed my career. The hands-on approach and real-world projects gave me the confidence to land my dream job at Amazon. The instructors are incredibly knowledgeable and supportive.

Sarah Johnson
DevOps Engineer at Amazon

Best investment I've made in my career. The curriculum is comprehensive and up-to-date with industry standards. I went from zero DevOps knowledge to deploying production Kubernetes clusters in 6 months.

Michael Chen
Cloud Engineer at Microsoft

The job assistance program is phenomenal. They helped me prepare my resume, practice interviews, and negotiate my offer. I'm now earning 3x my previous salary. Thank you Landmark!

Priya Patel
Site Reliability Engineer at Google
Watch Video Testimonials→

Ready to Transform Your Career?

Join Class 41 and start your journey to becoming a highly-paid DevOps engineer—or launch your consulting practice. Limited seats available.

Starts Soon
Class 41 Enrollment
Limited Seats
Only 30 spots left
Fast Track
6-month program
Enroll in Training - $3,000Consulting Inquiry

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