Cloud & DevOps
Beginner to Mastery
End-to-end DevOps, Cloud, Kubernetes, MLOps, AIOps, and LLMOps delivery lifecycle.
CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, and automation workflows.
GitOps and declarative delivery for cloud-native and Kubernetes environments.
Infrastructure provisioning using Terraform, cloud templates, and Infrastructure as Code practices.
250 Hours
5 July 2026
Live. Online. Interactive.
Containerization and Kubernetes from fundamentals to production-grade deployments.
Serverless and event-driven CI/CD pipelines with cloud automation workflows.
Observability, logging, reliability engineering, and monitoring using Prometheus, Grafana, and ELK.
Hands-on DevOps, MLOps, AIOps, and LLMOps practices for modern cloud-native environments.
DevOps principles taught through real delivery workflows, not theory.
Pipelines, branching strategies, secure CI, and GitOps-based CD.
Work with Terraform, cloud templates, configuration management, and automation tools.
Master Docker, Kubernetes, Helm, GitOps deployments, and cloud-native operations.
Learn observability, logging, alerting, troubleshooting, and SRE-focused reliability practices.
Gain exposure to MLOps, AIOps, LLMOps, AI pipelines, and intelligent automation systems.
Work on practical cloud, Kubernetes, CI/CD, and production deployment scenarios.
Prepare for DevOps Engineer, Cloud Engineer, SRE, Platform Engineer, and MLOps roles.
5 July 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 build industry-ready DevOps, Cloud, MLOps, AIOps, and LLMOps engineers by aligning closely with real-world enterprise delivery workflows. The learning journey begins with strong foundations in DevOps practices and CI/CD pipelines, then progressively advances into Infrastructure as Code (IaC), automation, and Kubernetes engineering. The program further covers observability, reliability engineering, serverless architectures, and cloud-native operations, and concludes with advanced topics such as MLOps, AIOps, LLMOps, AI pipelines, and production-grade AI infrastructure—preparing learners for modern cloud-native and AI-driven environments.
ENROLL NOW, BOOK YOUR SEAT & AVAIL UPTO 30% FEE WAIVER
Enroll Now →The primary objective of this program is to enable learners to design, build, deploy, monitor, and operate production-grade systems across DevOps, CI/CD, Cloud, Kubernetes, MLOps, AIOps, and LLMOps environments. The program focuses on developing strong practical understanding so learners know when, why, and how to use the right tools, automation workflows, observability practices, serverless architectures, and AI infrastructure technologies in real-world production scenarios—not just theoretical concepts.
Enroll Now →Skills aligned with real enterprise cloud, DevOps, and operational best practices.
Learn real workflows used by DevOps, SRE, Platform, and cloud engineering teams.
Understand the complete lifecycle from code commit to CI/CD, infrastructure, and monitoring.
Work with Terraform, GitOps, Infrastructure as Code, and pipeline automation practices.
Build production-grade deployments, Kubernetes orchestration, and rollback strategies.
Learn monitoring, logging, alerting, reliability engineering, and cloud optimization techniques.
Gain practical exposure to MLOps, AIOps, LLMOps, and AI infrastructure operations.
Work on hands-on labs, architecture mapping, and production-focused deployment scenarios.
Job-ready DevOps, Cloud, MLOps, AIOps, and LLMOps skills for modern engineering roles.
Strong focus on real production environments, deployment workflows, and operational practices.
GitOps, Kubernetes, CI/CD, and cloud-native engineering-first learning approach.
Covers future-ready DevOps, AI infrastructure, and intelligent automation technologies.
Suitable for product engineering, platform engineering, cloud, and AI-driven teams.
Min
$550,000
Average
$900,000
Max
$1,600,000
Comprehensive Multi-Cloud Deployment Experience
Industry-Aligned Advanced Scenarios
Build Enterprise-Grade Production Solutions
WE CAN APPLY FOR JOBS IN
Design, implement, and maintain CI/CD pipelines for automated build, testing, and deployment workflows.
Manage GitOps-based deployment strategies for scalable, secure, and reliable cloud releases.
Provision, automate, and optimize cloud infrastructure using Terraform and Infrastructure as Code practices.
Deploy, manage, and scale Kubernetes workloads in production cloud-native environments.
Implement monitoring, logging, observability, and alerting for system reliability and performance.
Design and manage serverless, event-driven, and cloud automation architectures.
Support MLOps, AIOps, LLMOps pipelines, AI infrastructure, and production ML operations.
Troubleshoot, debug, and resolve production incidents to ensure high availability and operational efficiency.
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 | 5 July 2026 | Saturday & Sunday | Batch 1 |
| Weekend Online Live Sessions | Very Soon | Saturday & Sunday | Batch 2 |
| Feature | Our Course | COMPETITOR A | COMPETITOR B |
|---|---|---|---|
| Foundations | DevOps foundations aligned with real enterprise delivery workflows | Theory-based DevOps concepts | General terminology overview |
| CI/CD | Multi-tool CI/CD pipelines with GitHub Actions, GitLab CI & Jenkins | Single-tool CI demos | Basic pipeline theory |
| GitOps | Dedicated GitOps and declarative deployment workflows | Rarely covered | Limited or missing coverage |
| Infrastructure as Code | Terraform, cloud templates, automation & Infrastructure as Code practices | Basic Terraform only | Introductory IaC concepts |
| Configuration Management | Ansible, Puppet, Chef & real automation workflows | Tool overview only | Single tool focus |
| Containers & Kubernetes | Docker, Kubernetes, Helm & GitOps-based cloud-native deployments | Docker with basic Kubernetes | Introductory container concepts |
| Observability | Prometheus, Grafana, ELK, monitoring & troubleshooting practices | Basic monitoring overview | Limited logging setup |
| Serverless | Event-driven systems and serverless CI/CD workflows | Optional topic | Not covered |
| MLOps & AI Ops | MLOps, AIOps, LLMOps, CI/CT/CD & AI infrastructure operations | Not included | Missing |
| AI Infrastructure | GPU orchestration, ML monitoring, drift detection & AI operations | Completely missing | Not available |
| Career Outcome | DevOps, Cloud, MLOps, AIOps & LLMOps Engineer readiness | Entry-level DevOps focus | General IT operations knowledge |
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.
