Cloud & DevOps
Beginner to Mastery
End-to-end AWS cloud engineering with real-world use cases
Hands-on DevOps using CI/CD, GitOps, and Infrastructure as Code
Containerization & Kubernetes with Docker, EKS, ECS, and Helm"
Production-grade monitoring & reliability with AWS, Prometheus, Grafana, and ELK

400 Hours
08 Feb 2026
Live. Online. Interactive.
Practical MLOps exposure for model lifecycle and production ML systems
Weekly sessions with industry professionals
Dedicated Learning Management Team
400+ hours of hands-on learning experience

AWS architecture, security, networking, governance, and cost optimization.
CI/CD, Terraform, CloudFormation, GitOps, Kubernetes on AWS.
AWS, Docker, Kubernetes, CI/CD, observability, and MLOps.
Prepares for AWS Cloud, DevOps, Platform, and MLOps Engineer roles.
08 Feb 2026

30 MINUTE MEETING
Web conferencing details provided upon confirmation.
Corporate Training, Enterprise training for teams
| Batch | Batch Type |
|---|---|
| Online Live Instructor Led Session | Full-Time |
| Online Live Instructor Led Session | Part-Time |
| Batch | Batch Type |
|---|---|
| IST (India Standard Time) | 09:00 PM–12:00 AM |
| Bahrain, Qatar, Kuwait, Saudi Arabia | 06:30 PM–09:30 PM |
| UAE / Oman | 07:30 PM–09:00 PM |
This program is designed to develop strong AWS cloud engineering skills combined with production-ready DevOps and MLOps practices. Learners gain hands-on experience across AWS infrastructure, automation, CI/CD pipelines, containers, Kubernetes, observability, and AI-driven operations.The curriculum follows a real enterprise learning journey — starting from AWS cloud foundations and security, progressing through DevOps engineering and Kubernetes, and extending into modern MLOps and AI infrastructure. Practical labs and real-world scenarios ensure learners are ready to work in live production environments.
ENROLL NOW, BOOK YOUR SEAT & AVAIL UPTO 30% FEE WAIVER
Enroll Now →The primary objective of this program is to build industry-ready AWS DevOps & MLOps Engineers with strong practical skills beyond tools and certifications. The focus is on real enterprise workflows, automation, scalability, and reliability.Learners will understand when, why, and how to apply AWS services, DevOps pipelines, Kubernetes, and MLOps practices in real business scenarios—enabling them to contribute effectively from day one in production environments.
Enroll Now →Skills aligned with real enterprise AWS, DevOps, and MLOps environments.
Deep hands-on experience with AWS architecture, services, security, and best practices.
CI/CD pipelines, GitOps, testing, automation, and release strategies.
Infrastructure automation using Terraform, CloudFormation, and configuration management.
Build, deploy, and manage applications using Docker, Amazon EKS/ECS, and Helm.
Observability, logging, alerting, and troubleshooting using industry-standard tools.
Data versioning, model lifecycle management, AI infrastructure, and model monitoring basics.
Prepared for Cloud Engineer, DevOps Engineer, SRE, Platform Engineer, and entry-level MLOps roles.
Job-ready skills focused on real-world AWS and DevOps implementations
End-to-end learning from AWS foundations to DevOps, Kubernetes, and MLOps
Strong emphasis on automation, Infrastructure as Code, and CI/CD pipelines
Training aligned with real production architectures and operational practices
Future-ready skill set covering cloud-native, platform engineering, and MLOps concepts




Min
$600,000
Average
$1,000,000
Max
$2,000,000

Comprehensive Multi-Cloud Deployment Experience
Industry-Aligned Advanced Scenarios
Build Enterprise-Grade Production Solutions
WE CAN APPLY FOR JOBS IN
Deploy, manage, and scale AWS cloud infrastructure following AWS Well-Architected and enterprise best practices.
Provision and automate AWS cloud resources using Terraform and AWS CloudFormation.
Design and manage compute, storage, networking, and security services on AWS (EC2, S3, VPC, RDS, IAM, etc.).
Implement and manage CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, and GitOps workflows.
Build, deploy, and operate containerized applications using Docker and Kubernetes (Amazon EKS / ECS).
Apply IAM-based identity governance, security policies, least-privilege access, MFA, and compliance controls.
Monitor AWS infrastructure and applications using CloudWatch, Prometheus, Grafana, and ELK Stack.
Perform troubleshooting, incident response, alerting, and reliability engineering in production environments.
Implement backup, disaster recovery, cost optimization, auto-scaling, and high-availability strategies on AWS.
Support MLOps workflows, including data and model versioning, pipeline deployment, model monitoring, and AI infrastructure operations.
















































































































The application process consists of three simple steps. An offer of admission will be made to selected candidates based on the feedback from the interview panel. The selected candidates will be notified over email and phone, and they can block their seats through the payment of the admission fee.
We partnered with financing companies to provide competitive finance options at 0% interest rate with no hidden costs.


| Batch | Date | Time (IST) | Batch Type |
|---|---|---|---|
| Weekend Online Live Sessions | 1st Week of March 2026 | Saturday & Sunday | Batch 1 |
| Weekend Online Live Sessions | TBD | Saturday & Sunday | Batch 2 |
| Feature | Our Course | COMPETITOR A |
|---|---|---|
| Cloud Focus | AWS-first, production-grade | Tool-based or certification-only |
| DevOps Coverage | End-to-end CI/CD, GitOps, IaC | Limited pipeline exposure |
| Kubernetes | Advanced EKS, Helm, GitOps | Basic container concepts |
| Observability | Prometheus, Grafana, ELK, AWS tools | Minimal monitoring coverage |
| MLOps | Full ML lifecycle & AI ops | Usually not included |
| Learning Approach | Real enterprise workflows | Mostly theoretical |
| Job Readiness | High – production aligned | Medium |
Proud to be a Recognised Skilling Partner of IT-ITeS SSC Nasscom

Certificate of Partnership
SkillzRevo Solutions Private Limited
Organization
SkillzRevo Solutions Private Limited
Recognition Status
Recognised Skilling Partner
Certifying Authority
IT-ITeS SSC Nasscom
Validity Period
24/11/2025 - 24/11/2026
A MeitY - Nasscom Digital Skilling Initiative empowering professionals with cutting-edge IT skills
10+
Year Partnership
100%
Certified
As a recognized skilling partner, we are dedicated to delivering world-class IT training and development programs aligned with industry standards and government initiatives.