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Cloud Computing, DevOps & MLOps

Build, deploy, and manage cloud infrastructure across AWS, Azure, and GCP. Master Docker, Kubernetes, CI/CD, and ML deployment pipelines.

6Programs
250–600Hours
AWS/AzureCertified
20+Skills
Cloud DevOps courses

Cloud, DevOps & MLOps Programs

Industry-certified programs for cloud engineers and DevOps professionals.

AWS Focused
Certified AWS Engineer Program

Certified AWS Engineer Program

250 Hours 20+ Skills

Master all core AWS services — EC2, S3, RDS, Lambda, VPC, IAM — with security best practices and cost optimisation.

Curriculum Highlights
  • AWS Core Services (EC2, S3, RDS)
  • Serverless (Lambda, API Gateway)
  • VPC, IAM & Security Best Practices
  • Auto Scaling & Load Balancing
  • AWS DevOps Tools (CodePipeline)
  • Cost Optimisation Strategies
  • AWS Monitoring (CloudWatch)
  • Hands-on Labs & Projects
ModeOnline / Offline
Projects10+ Projects
CertAWS Certified
SupportCareer Guidance
Azure Focused
Certified Azure Engineer Program

Certified Azure Engineer Program

250 Hours 15+ Skills

Azure infrastructure management, Azure DevOps, Active Directory, and hybrid cloud solutions with Microsoft certification prep.

Curriculum Highlights
  • Azure Core Services (VMs, Storage)
  • Azure Active Directory & IAM
  • Azure DevOps Pipelines
  • Hybrid Cloud & Azure Arc
  • Azure Kubernetes Service (AKS)
  • Azure Monitor & Security Center
  • Azure AI & Cognitive Services
  • AZ-900 / AZ-104 Prep
ModeOnline / Offline
Projects10+ Projects
CertAzure Certified
SupportCareer Guidance
AWS + MLOps
AWS DevOps MLOps Engineer

AWS DevOps & MLOps Engineer

400 Hours 20+ Skills

Combine AWS DevOps tooling with MLOps — deploy ML models at scale, set up monitoring pipelines, and automate ML workflows on AWS.

Curriculum Highlights
  • AWS DevOps Core Services
  • SageMaker & ML Deployment
  • MLflow & Experiment Tracking
  • CI/CD for ML Pipelines
  • Model Monitoring & Drift Detection
  • Containerisation (Docker, ECS, EKS)
  • Logging & Observability (CloudWatch)
  • Real-world MLOps Projects
ModeOnline / Offline
Projects12+ Projects
CertAWS + MLOps Cert
SupportPlacement Assistance
Azure + MLOps
Azure DevOps MLOps Engineer

Azure DevOps & MLOps Engineer

410 Hours 18+ Skills

Azure DevOps pipelines + Azure ML services + container orchestration — a complete package for Azure-based ML deployments.

Curriculum Highlights
  • Azure DevOps Pipelines & Boards
  • Azure ML Studio & AutoML
  • MLflow on Azure
  • AKS Container Orchestration
  • Azure Container Registry (ACR)
  • Model Monitoring on Azure
  • Infrastructure as Code (Bicep/ARM)
  • End-to-end MLOps Projects
ModeOnline / Offline
Projects12+ Projects
CertAzure + MLOps Cert
SupportPlacement Assistance
Platform Agnostic
Certified DevOps MLOps Engineer

Certified DevOps & MLOps Engineer

250 Hours 20+ Skills

Platform-agnostic DevOps & MLOps — covers ML lifecycle management, automated testing, deployment, and monitoring across any cloud.

Curriculum Highlights
  • DevOps Culture & Practices
  • Git & Version Control
  • CI/CD Pipelines (Jenkins, GitHub Actions)
  • Docker & Kubernetes
  • ML Lifecycle Management
  • Automated Testing Frameworks
  • Monitoring & Alerting
  • Industry Capstone Projects
ModeOnline / Offline
Projects10+ Projects
CertIndustry Recognized
SupportCareer Guidance

Launch your Cloud career today

AWS, Azure, GCP — master all three with expert guidance and real-world projects.

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