01LINUX
Linux Essentials
3 WeeksLinux BasicsFile System & PermissionsProcess ManagementNetworking BasicsShell ScriptingAutomation 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 Batch28th Aug 20257 PM
TrainerMr.Manikanta10+ Years Industry Experience
01Why Learn
Why AIOps (DevOps+AI) & MLOps Engineering Program?
Why Choose Multi Cloud DevOPS with MLOPS Training?
01
Master DevOps & MLOps across AWS and Azure
02
Build automated CI/CD pipelines
03
Work on real-time industry projects
04
Learn Docker and Kubernetes orchestration
05
Gain hands-on experience with Linux, Git, Jenkins & Terraform
→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.
02About the Course
Deliberately sequenced architecture.
Not simple video playlists — mentor-driven engineering sprints optimized directly for scaling up skills.
Over 16 weeks of live, mentor-led training, you will move from fundamentals to advanced concepts through hands-on project sprints.
Sessions are 100% online and live — taught personally by industry practitioners. Every week ends with an assignment reviewed and graded by your mentor.
Career support continues until you land your first interview call. We help with LinkedIn & Naukri profile building, resume writing, mock interviews, and corporate etiquette.
Structured systematically. Focused clearly on active deployments.
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.
10+Years Industry
1,200+Mentees Trained
LiveOnline Sessions
4.9Trainer 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
06Curriculum Plan
Systematically layered foundations.
Sequential core units structured logically to compile robust engineering outcomes.
02GIT-GITHUB
Git & GitHub
2 WeeksGit BasicsBranching & MergingPull Requests & Code ReviewsGit WorkflowsGitHub Actions Overview
03CLOUD-FUNDAMENTALS
Cloud Fundamentals (AWS & Azure)
3 WeeksCloud Computing ModelsIAM & RBACAWS Core Services (EC2, S3, RDS)Azure Core Services (VMs, Storage, Azure SQL)Monitoring Basics
04IAC-CONFIGURATION
Infrastructure as Code & Configuration Management
3 WeeksTerraform BasicsHCL & ProvidersTerraform WorkflowsAnsible ArchitecturePlaybooks & RolesTerraform + Ansible Integration
05CICD-JENKINS
CI/CD with Jenkins
3 WeeksJenkins ArchitectureJobs & PipelinesDeclarative vs Scripted PipelinesCI/CD Pipeline DesignJenkins Integration with Git
06KUBERNETES
Docker & Kubernetes
4 WeeksDocker FundamentalsKubernetes ArchitecturePods, Deployments & ServicesConfigMaps & SecretsIngress & AutoscalingKubernetes Storage
07GITOPS-SRE
GitOps, SRE & Observability
3 WeeksGitOps PrinciplesArgo CDSRE Concepts (SLI, SLO, SLA)Monitoring with Prometheus & GrafanaLogging & TracingIncident Management
08MLOPS
MLOps & Model Deployment
4 WeeksMLOps LifecycleExperiment Tracking (MLflow / W&B)Model VersioningCI/CD for ML PipelinesModel Deployment on KubernetesMonitoring Model DriftCapstone MLOps Project
07Resources
Engineering tasks that compound.
A
Active Assignments
Weekly Task Reviews
- Weekly coding challenges and assignments
- Real-world schema query assignments
- Building and deploying a mini-project
- End-to-end capstone project with codebase audit
N
Module References
Running Notes
- Live session recordings — every class is recorded
- Mentor-written PDF notes for each phase
- Annotated code repositories and guides
- Cheat sheets and quick references
- Interview question bank categorized by topic
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.
10 Lakh+
Tech Jobs in India
25% YoY
Growth in Hiring
09Alumni Actions
Real reviews from successful students.
★★★★★
Manikanta sir explained Docker and Kubernetes beautifully. Setting up CI/CD pipelines with Jenkins and deploying MLflow models on Kubernetes cluster was something I could directly talk about during my interviews. Best MLOps training available.
★★★★★
Managing model drift and setting up Prometheus and Grafana for monitoring model performance was exactly what my current project at Wipro required. Very practical and no fluff.
★★★★★
The course bridged the gap between ML models and DevOps pipelines. We set up automated model registry in MLflow and triggered Jenkins pipelines for redeployment. Manikanta sir’s Docker & Kubernetes labs were challenging but highly detailed.
10Career Launch
Placement networks that act actively.
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 Enrolment Intake Status Active -
Compile execution goals securely.
Intake session opens soon.
Discuss personalized pacing trajectories, audit project module options, and verify scheduling suitability safely directly.
Enroll Now
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