Cloud & DevOps
Beginner to Mastery
End-to-end Azure administration with real governance, networking, and enterprise cloud scenarios.
Hands-on DevOps with CI/CD, GitOps, Infrastructure as Code, and cloud automation workflows.
Containerization and Kubernetes engineering using Docker, AKS, Helm, and scalable cloud deployments.
Production-ready monitoring, observability, reliability, MLOps, AIOps, and LLMOps practices.
410 Hours
23 May 2026
Live. Online. Interactive.
Emphasizes hands-on Azure administration, automation, and Infrastructure as Code practices.
Covers real-world DevOps with CI/CD, GitOps, Docker, Kubernetes, and cloud automation.
Prepares learners for Azure Cloud, DevOps, MLOps, AIOps, and LLMOps engineering roles.
Introduces production MLOps, AI infrastructure, model lifecycle management, and intelligent operations.
Build strong foundations in Azure governance, networking, compute, storage, security, and hybrid connectivity.
Work on real CI/CD pipelines, GitOps workflows, Infrastructure as Code, and Kubernetes deployments.
Learn production-grade Azure, DevOps, MLOps, AIOps, and LLMOps tools and operational practices.
Designed to prepare learners for in-demand cloud, DevOps, platform, and MLOps roles.
23 May 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 strong Azure administration skills combined with production-ready DevOps, MLOps, AIOps, and LLMOps practices. Learners gain hands-on experience across Azure infrastructure, automation, CI/CD pipelines, containers, Kubernetes, observability, and AI-driven cloud operations. The curriculum follows a real enterprise learning path—starting from cloud governance and core infrastructure, progressing through DevOps engineering and Kubernetes, and extending into modern MLOps, AIOps, and AI infrastructure concepts. Practical labs, real-world scenarios, and architecture-driven learning ensure learners are prepared to work confidently in 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 Azure, DevOps, MLOps, AIOps, and LLMOps Engineers with strong practical skills beyond tools and certifications. The focus is on real enterprise workflows, automation, scalability, and production cloud operations. Learners will understand when, why, and how to implement Azure services, DevOps pipelines, Kubernetes, MLOps, AIOps, and LLMOps practices in real business scenarios—enabling them to contribute effectively from day one in production environments.
Enroll Now →Skills aligned with real enterprise cloud, DevOps, MLOps, AIOps, and LLMOps environments.
Deep hands-on experience with Microsoft Azure architecture and services.
Master infrastructure automation using Terraform, ARM templates, and configuration management tools.
Build, deploy, and manage applications using Docker, AKS, Kubernetes, and Helm.
Learn observability, logging, alerting, monitoring, and troubleshooting using industry-standard tools.
Understand data versioning, model lifecycle management, AI operations, and intelligent infrastructure concepts.
Prepare for Cloud Engineer, DevOps Engineer, SRE, Platform Engineer, MLOps, AIOps, and LLMOps roles.
Job-ready skills focused on real-world Azure, DevOps, MLOps, AIOps, and LLMOps implementations.
End-to-end learning from Azure foundations to DevOps, Kubernetes, and AI infrastructure operations.
Strong emphasis on automation, Infrastructure as Code, CI/CD pipelines, and GitOps workflows.
Training aligned with production-grade architectures, monitoring, reliability, and operational practices.
Exposure to modern industry-standard tools used by real cloud and DevOps engineering teams.
Future-ready skill development covering cloud-native platforms, automation, MLOps, AIOps, and LLMOps concepts.
Min
$600,000
Average
$1,000,000
Max
$1,800,000
Comprehensive Multi-Cloud Deployment Experience
Industry-Aligned Advanced Scenarios
Build Enterprise-Grade Production Solutions
WE CAN APPLY FOR JOBS IN
Deploy, manage, and scale Azure cloud infrastructure using enterprise best practices.
Provision and automate resources using Terraform, ARM templates, Azure CLI, and PowerShell.
Design and manage compute, storage, networking, and hybrid cloud connectivity solutions.
Implement CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, and GitOps workflows.
Build and manage containerized applications using Docker, Kubernetes, and Azure AKS.
Apply RBAC, identity governance, cloud security, and least-privilege access controls.
Monitor cloud systems using Azure Monitor, Prometheus, Grafana, ELK Stack, and observability tools.
Perform troubleshooting, incident response, reliability engineering, and production support operations.
Implement backup, disaster recovery, cost optimization, and high-availability cloud strategies.
Support MLOps, AIOps, and LLMOps workflows including model deployment, 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 | 23 May 2026 | Saturday & Sunday | Batch 1 |
| Feature | Our Course | COMPETITOR A | COMPETITOR B |
|---|---|---|---|
| Course Duration | 400 hours with live sessions, capstone projects, labs, and self-paced learning | 200–250 hours total | 150–200 hours with limited practical exposure |
| Multi-Cloud Coverage | Comprehensive AWS, Azure, GCP, DevOps, MLOps, AIOps & LLMOps coverage | Single cloud focus | Limited multi-cloud exposure |
| Hands-On Projects | Capstone projects, real-world labs, assignments, and deployment case studies | Few theoretical projects | Limited practical experience |
| DevOps & Automation | Terraform, Docker, Kubernetes, Jenkins, GitHub Actions, GitOps & CI/CD workflows | Basic Docker and Jenkins | Limited automation coverage |
| Instructor Quality | Certified industry experts with real-world Cloud, DevOps & AI infrastructure experience | Industry trainers only | Mixed academic and industry faculty |
| Career Support | Mock interviews, dedicated support team, career guidance & placement assistance | Basic placement support | Limited career support |
| Security & Compliance | DevSecOps, IAM, GDPR, HIPAA, ISO 27001 & Policy as Code concepts | Basic security concepts | Minimal compliance coverage |
| Advanced Topics | FinOps, Serverless, Hybrid Cloud, Multi-Cloud Integration, MLOps, AIOps & LLMOps | Limited advanced topics | Few advanced concepts covered |
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.
