Multi Cloud Devops with MLOPS
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
Course Duration
4 Months
LMS Access
365 Days
Career Support
Till Interview
INTEGRATION
Seamlessly Integrate
with Your Favorite Tools
Seamless Integration, Real-Time Insights, Continuous Improvement
Linux
Git & GitHub
Cloud Computing
AWS
Microsoft Azure
Infrastructure as Code (IaC)
Terraform
Ansible
Git & GitHub
Cloud Computing
AWS
Microsoft Azure
Infrastructure as Code (IaC)
Terraform
Ansible
CI/CD Pipelines
Cloud Computing
AWS
Microsoft Azure
Infrastructure as Code (IaC)
Terraform
Ansible
CI/CD Pipelines
Jenkins
COURSE ROADMAP
Why Multi Cloud Devops with MLOPS
Seamless Integration, Real-Time Insights, Continuous Improvement
Check out First 5 Free Classes of the ongoing batch
Experience our teaching style before you enroll!
Designed by Experts, Tailored for Growth
CURRICULUM
Linux Essentials
Duration: 3 Weeks
- Linux Basics
- File System & Permissions
- Process Management
- Networking Basics
- Shell Scripting
- Automation Scripts
Git & GitHub
Duration: 2 Weeks
- Git Basics
- Branching & Merging
- Pull Requests & Code Reviews
- Git Workflows
- GitHub Actions Overview
Cloud Fundamentals (AWS & Azure)
Duration: 3 Weeks
- Cloud Computing Models
- IAM & RBAC
- AWS Core Services (EC2, S3, RDS)
- Azure Core Services (VMs, Storage, Azure SQL)
- Monitoring Basics
Infrastructure as Code & Configuration Management
Duration: 3 Weeks
- Terraform Basics
- HCL & Providers
- Terraform Workflows
- Ansible Architecture
- Playbooks & Roles
- Terraform + Ansible Integration
CI/CD with Jenkins
Duration: 3 Weeks
- Jenkins Architecture
- Jobs & Pipelines
- Declarative vs Scripted Pipelines
- CI/CD Pipeline Design
- Jenkins Integration with Git
Docker & Kubernetes
Duration: 4 Weeks
- Docker Fundamentals
- Kubernetes Architecture
- Pods, Deployments & Services
- ConfigMaps & Secrets
- Ingress & Autoscaling
- Kubernetes Storage
GitOps, SRE & Observability
Duration: 3 Weeks
- GitOps Principles
- Argo CD
- SRE Concepts (SLI, SLO, SLA)
- Monitoring with Prometheus & Grafana
- Logging & Tracing
- Incident Management
MLOps & Model Deployment
Duration: 4 Weeks
- MLOps Lifecycle
- Experiment Tracking (MLflow / W&B)
- Model Versioning
- CI/CD for ML Pipelines
- Model Deployment on Kubernetes
- Monitoring Model Drift
- Capstone MLOps Project
Capstone Project
Covered throughout the course on any of them like Healthcare, Finance etc...
What will you get after completion of course
Unlock the Full Potential of Your Data with Advanced AI Solutions
Course Completion Certificate
Client Handling Techniques
Building ATS Friendly Resume
Support till you get the interview Calls
Interview Preparation Tips & Tricks
Tips on Soft skills & Corporate Etiquette’s
LMS Platform Access For 365 Days. (All recorded sessions)
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