01
LINUX
Linux Essentials
✓ Linux Basics✓ File System & Permissions✓ Process Management✓ Networking Basics✓ Shell Scripting✓ Automation Scripts
KSR Datavizon
AIOps (DevOps+AI) & MLOps Engineering Program
Bridge the gap between ML models and production-grade DevOps pipelines
Advance your DevOps and MLOps engineering skills. Learn CI/CD automation, Kubernetes container orchestration, and model versioning tracking with MLflow - taught by senior cloud practitioners.
NASSCOM AffiliatedISO 9001:2015 CertifiedStartup India Recognised
Our students work at
TCS
Infosys
Wipro
Capgemini
Deloitte
IBM
HCL
EY
KPMG
PwC
Tech Mahindra
Persistent
Hexaware
LTM Limited
NokiaTCSInfosysWiproCapgeminiDeloitteIBMHCLEYKPMGPwCTech MahindraPersistentHexawareLTM LimitedNokiaDuration4 MonthsLive Training
ModeOnlineMentor-Led
Next Batch11th July 20267:00 PM IST
TrainerMr.Manikanta10+ Years Industry Experience
Why Learn
Why AIOps (DevOps+AI) & MLOps Engineering Program?
Why Choose Multi Cloud DevOPS with MLOPS Training?
Master DevOps & MLOps across AWS and Azure
Learn to automate software deployment and machine learning model lifecycles in the cloud.
Build automated CI/CD pipelines
Set up automated testing, integration, and continuous delivery for applications and model training.
Work on real-time industry projects
Implement automated infrastructure provisioning and model monitoring for live production systems.
Learn Docker and Kubernetes orchestration
Package services into lightweight containers and manage automated scaling with Kubernetes clusters.
Gain hands-on experience with Linux, Git, Jenkins & Terraform
Master the industry-standard automation stack to write infrastructure as code.
Monitor models with Prometheus & Grafana
Configure automated alert notifications for model drift and system health in production.
Who Can Learn
Built for engineers & switchers targeting strong outcomes.
Final-year Students
Graduate ready with deployed projects, not just a degree.
Software Developers
Backend or frontend devs ready to upskill.
Data Analysts
Already use SQL & Excel? Level up to advanced engineering.
Career Switchers
Non-tech professionals planning a complete pivot into technology.
Working Professionals
Upskill in evenings & weekends, with full LMS access for revision.
Systems Administrators
Transition from manual server maintenance to writing Infrastructure-as-Code.
About the Course
Structured, project-based learning.
Go beyond passive video playlists. Learn through mentor-guided coding sprints designed to build real-world engineering skills.
16-Week Structured Sprints
Over 16 weeks of live, mentor-led training, you will move from fundamentals to advanced concepts through hands-on project sprints.
100% Live Practice & Feedback
Sessions are 100% online and live - taught personally by industry practitioners. Every week ends with an assignment reviewed and graded by your mentor.
End-to-End Career Support
Career support continues until you land your first interview call. We help with LinkedIn & Naukri profile building, resume writing, mock interviews, and corporate etiquette.
OUTCOMES
What you walk away with
- Course Completion Certificate
- LinkedIn & Naukri profile building
- ATS-friendly resume preparation
- Support till you get interview calls
- Interview prep - tips & tricks
- Soft skills & corporate etiquette
- 365 days of LMS & recordings access
03Meet Your Trainer
Taught by active practitioners.
Lead Trainer · AIOps (DevOps+AI) & MLOps Engineering Program
Mr.Manikanta
Industry expert with over 10 years of experience shipping production applications.
11+Years Industry
1,600+Mentees Trained
LiveOnline Sessions
4.7Trainer Rating
04Tools & Frameworks
The stack you use on the job.
Work confidently using industry platforms across core deployment targets.
Linux
Git & GitHub
Cloud Computing
AWS
Microsoft Azure
Infrastructure as Code (IaC)
Terraform
Ansible
CI/CD Pipelines
Jenkins
Docker
Kubernetes
GitOps
Argo CD
SRE
Observability
Prometheus
Grafana
MLOps
MLflow
Kubeflow
Curriculum Plan
Step-by-step curriculum roadmap.
Progress logically from foundational concepts to advanced, production-ready engineering skills.
02
GIT-GITHUB
Git & GitHub
✓ Git Basics✓ Branching & Merging✓ Pull Requests & Code Reviews✓ Git Workflows✓ GitHub Actions Overview
03
CLOUD-FUNDAMENTALS
Cloud Fundamentals (AWS & Azure)
✓ Cloud Computing Models✓ IAM & RBAC✓ AWS Core Services (EC2, S3, RDS)✓ Azure Core Services (VMs, Storage, Azure SQL)✓ Monitoring Basics
04
IAC-CONFIGURATION
Infrastructure as Code & Configuration Management
✓ Terraform Basics✓ HCL & Providers✓ Terraform Workflows✓ Ansible Architecture✓ Playbooks & Roles✓ Terraform + Ansible Integration
05
CICD-JENKINS
CI/CD with Jenkins
✓ Jenkins Architecture✓ Jobs & Pipelines✓ Declarative vs Scripted Pipelines✓ CI/CD Pipeline Design✓ Jenkins Integration with Git
06
KUBERNETES
Docker & Kubernetes
✓ Docker Fundamentals✓ Kubernetes Architecture✓ Pods, Deployments & Services✓ ConfigMaps & Secrets✓ Ingress & Autoscaling✓ Kubernetes Storage
07
GITOPS-SRE
GitOps, SRE & Observability
✓ GitOps Principles✓ Argo CD✓ SRE Concepts (SLI, SLO, SLA)✓ Monitoring with Prometheus & Grafana✓ Logging & Tracing✓ Incident Management
08
MLOPS
MLOps & Model Deployment
✓ MLOps Lifecycle✓ Experiment Tracking (MLflow / W&B)✓ Model Versioning✓ CI/CD for ML Pipelines✓ Model Deployment on Kubernetes✓ Monitoring Model Drift✓ Capstone MLOps Project
08Outcomes
Target industry positions directly.
↗ 12,900+ jobs
MLOps Engineer
12 - 28 LPAAutomate model deployment, registry, and drift monitoring.
↗ 25,400+ jobs
DevOps Engineer
8 - 22 LPAMaintain CI/CD pipelines, Docker networks, and Kubernetes clusters.
↗ 14,100+ jobs
Cloud Automation Engineer
10 - 24 LPADeploy configurations dynamically using Terraform.
↗ 8,200+ jobs
Release Engineer
9 - 20 LPACoordinate software build delivery pipelines.
↗ 11,300+ jobs
Site Reliability Engineer (SRE)
12 - 28 LPAMonitor application availability and configure alerts.
↗ 9,800+ jobs
Platform Engineer
11 - 26 LPABuild developer tools and maintain cloud clusters.
30,000+
MLOps & DevOps Active Listings
₹11 - 25 LPA
Average MLOps Engineer Salary
32% YoY
Increase in AI Infrastructure Roles
78%
Companies Scaling ML to Production
Alumni Actions
Real reviews from successful students.
Join a thriving network of industry professionals. Read what our graduates say about their career transformation journey.
Career Launch
Placement networks that act actively.
Our active alumni ecosystem supports you with live workshops, direct placement updates, and mock practice panels until you get hired.
200+
Hiring Partners
85%
Avg. Salary Hike
2,400+
Mentees Placed
6 wks
Avg. Time to Offer
01
Resume & Portfolio Review
ATS-friendly resume rewrite, GitHub audit, and capstone project documentation review.
02
LinkedIn & Naukri Optimisation
Profile rebuild with recruiter-targeted keywords, headline crafting, and weekly content tips.
03
Mock Interviews
Two structured mocks: one technical (live coding + system design), one HR/behavioural.
04
Recruiter Connections
Curated job openings and direct intros via our network of 200+ hiring-partner companies.
05
Soft Skills & Etiquette
Communication, client handling, and corporate-readiness coaching from senior practitioners.
06
Lifetime Alumni Access
Slack community, referral pipeline, and ongoing peer support - useful long after placement.
Priority Enrollment Open
Secure your seat for the upcoming batch.
Talk to our team about flexible pacing, project options, and scheduling before you enroll.
Frequently Addressed Inquiries
What is the duration of the AIOps & MLOps course?
4 months of live online training, with 365 days of LMS access.
What is the difference between DevOps and MLOps?
DevOps focuses on automating traditional software deployment. MLOps extends this to automate the lifecycle of machine learning models, including training, versioning, and monitoring.
What orchestration and automation tools will I learn?
Linux, Git, Jenkins, Terraform, Docker, Kubernetes, Prometheus, Grafana, MLflow, and cloud services on AWS/Azure.
Who is the ideal candidate for this course?
Software engineers, systems administrators, cloud engineers, and data scientists looking to specialize in cloud automation and machine learning operations.
Enroll Now
Get a callback within 2 hours