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KSR DataVizon

Understand Big Data

Multi-cloud data engineering and DataOps refer to the practice of managing and automating data processes across multiple cloud providers, such as AWS, Azure, and GCP

NASSCOM AffiliatedISO 9001:2015 CertifiedStartup India Recognised
Multi Cloud Devops with MLOPS — KSR DataVizon
Enrol Now Curriculum

Our students work at

TCSTCS
InfosysInfosys
WiproWipro
CapgeminiCapgemini
DeloitteDeloitte
IBMIBM
HCLHCL
EYEY
KPMGKPMG
PwCPwC
Tech MahindraTech Mahindra
PersistentPersistent
HexawareHexaware
LTM LimitedLTM Limited
NokiaNokia
TCSTCS
InfosysInfosys
WiproWipro
CapgeminiCapgemini
DeloitteDeloitte
IBMIBM
HCLHCL
EYEY
KPMGKPMG
PwCPwC
Tech MahindraTech Mahindra
PersistentPersistent
HexawareHexaware
LTM LimitedLTM Limited
NokiaNokia
Duration4 MonthsLive Training
ModeOnlineMentor-Led
Next Batch28th Aug 20257 PM
Trainer⁠Mr.Manikanta10+ Years Industry Experience
01Why Learn

Why Multi Cloud Devops with MLOPS?

Why Choose Multi Cloud DevOPS with MLOPS Training?

1

Master DevOps & MLOps across AWS and Azure

2

Build automated CI/CD pipelines

3

Work on real-time industry projects

4

Learn Docker and Kubernetes orchestration

5

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 switch into advanced technology roles.

Data Analysts

Already use SQL & Excel? Level up to ML & GenAI engineering.

Career Switchers

Non-tech professionals planning a complete pivot into technology.

Working Professionals

Upskill in evenings & weekends, with full LMS access for revision.

Aspiring Founders

Build AI-first products yourself before you raise a round.

02About the Course

Deliberately sequenced architecture.

Not simple video playlists — mentor-driven engineering sprints optimized directly for scaling up skills.

Multi-cloud data engineering and DataOps refer to the practice of managing and automating data processes across multiple cloud providers, such as AWS, Azure, and GCP

Structured systematically. Focused clearly on active deployments.
03Meet Your Trainer

Taught by active practitioners.

Lead Trainer · Multi Cloud Devops with MLOPS
⁠Mr.Manikanta

With years of specialized application expertise, ⁠Mr.Manikanta drives functional real-world mastery through conversational engineering discussions.

04Tools & Frameworks

The stack you use on the job.

Work confidently using industry platforms across core deployment targets.

Linux
Linux
Git & GitHub
Git & GitHub
Cloud Computing
Cloud Computing
AWS
AWS
Microsoft Azure
Microsoft Azure
Infrastructure as Code (IaC)
Infrastructure as Code (IaC)
Terraform
Terraform
Ansible
Ansible
CI/CD Pipelines
CI/CD Pipelines
Jenkins
Jenkins
Docker
Docker
Kubernetes
Kubernetes
GitOps
GitOps
Argo CD
Argo CD
SRE
SRE
Observability
Observability
Prometheus
Prometheus
Grafana
Grafana
MLOps
MLOps
MLflow
MLflow
Kubeflow
Kubeflow
06Curriculum Plan

Systematically layered foundations.

Sequential core units structured logically to compile robust engineering outcomes.

01linux
Linux Essentials
3 Weeks
Linux BasicsFile System & PermissionsProcess ManagementNetworking BasicsShell Scripting
02git-github
Git & GitHub
2 Weeks
Git BasicsBranching & MergingPull Requests & Code ReviewsGit WorkflowsGitHub Actions Overview
03cloud-fundamentals
Cloud Fundamentals (AWS & Azure)
3 Weeks
Cloud 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 Weeks
Terraform BasicsHCL & ProvidersTerraform WorkflowsAnsible ArchitecturePlaybooks & Roles
05cicd-jenkins
CI/CD with Jenkins
3 Weeks
Jenkins ArchitectureJobs & PipelinesDeclarative vs Scripted PipelinesCI/CD Pipeline DesignJenkins Integration with Git
06kubernetes
Docker & Kubernetes
4 Weeks
Docker FundamentalsKubernetes ArchitecturePods, Deployments & ServicesConfigMaps & SecretsIngress & Autoscaling
07gitops-sre
GitOps, SRE & Observability
3 Weeks
GitOps PrinciplesArgo CDSRE Concepts (SLI, SLO, SLA)Monitoring with Prometheus & GrafanaLogging & Tracing
08mlops
MLOps & Model Deployment
4 Weeks
MLOps LifecycleExperiment Tracking (MLflow / W&B)Model VersioningCI/CD for ML PipelinesModel Deployment on Kubernetes
Download Curriculum
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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