Cloud, DevOps & MLOps Engineering Course in Ghaziabad
Architect Immutable Cloud Infrastructure, GitOps Pipelines & Scalable Model Serving Platforms. Master practical enterprise skills, real-time cloud labs, and direct Industry Networking & Mock Interviews across Ghaziabad's top tech hubs.
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Speak with a Principal Career Counselor in Ghaziabad & get a customized roadmap, syllabus, and 0% EMI plans.
Why Master Cloud, DevOps & MLOps in Ghaziabad?
Ghaziabad is home to rapidly expanding tech hubs, global capability centers (GCCs), and enterprises investing heavily in Cloud, DevOps & MLOps.
Ghaziabad Tech Corridors
Direct access to recruitment cycles across premier IT parks including RDC Commercial Tech Hub, Sahibabad Industrial IT Area, Crossings Republik Hub. Leading employers actively hiring include TCS, Wipro, Ericsson, Reliance Jio, Tech Mahindra, GlobalLogic.
Ghaziabad Salary Benchmarks
Industry packages reflecting current 2026 enterprise demand in Ghaziabad:
Industry-Aligned Practical Modules
Engineered in collaboration with enterprise technical leaders. Every module incorporates theoretical rigor, live coding labs, and a portfolio deliverable.
Module 01: Cloud Architecture on AWS/Azure & Linux Internals
6 Weeks • 65 Hours- VPC design, subnets, route tables, NAT Gateways & security groups
- Compute instances (EC2), auto-scaling groups & IAM policies
- Object storage (S3), lifecycle rules, encryption & KMS
- Linux system administration, bash automation & SSH hardening
Module 02: Containers & Multi-Cluster Kubernetes Orchestration
6 Weeks • 70 Hours- Docker multi-stage builds, rootless containers & optimization
- Kubernetes architecture, Pods, Deployments, ReplicaSets & Services
- ConfigMaps, Secrets, Persistent Volumes & StatefulSets
- Helm package management, ingress controllers & cert-manager
Module 03: Infrastructure as Code (Terraform) & GitOps CI/CD
6 Weeks • 75 Hours- Terraform HCL syntax, modules, remote state locking with S3/DynamoDB
- GitOps workflows with ArgoCD & declarative continuous delivery
- GitHub Actions CI/CD pipelines, automated testing & image scanning
- Zero-downtime deployment strategies (Blue-Green, Canary)
Module 04: Production MLOps, Model Serving & Observability
6 Weeks • 70 Hours- MLflow model registry, lifecycle tracking & artifacts
- Serving deep learning models with Triton & TorchServe on GPU nodes
- Prometheus metrics collection, Grafana dashboards & alerts
- Log aggregation with Loki/Elasticsearch & distributed tracing with Jaeger
Production Capstone Live Projects
Build production-grade systems during your specialization that demonstrate verified architecture competence to tech interviewers.
Production Multi-Region Kubernetes EKS Infrastructure with Terraform & Helm
Provision a resilient AWS Kubernetes cluster across 3 availability zones using modular Terraform code, managing deployments via Helm charts and cert-manager SSL automation.
Enterprise Zero-Downtime GitOps CI/CD Pipeline with Automated Security Audits
Build a continuous delivery pipeline using GitHub Actions, Trivy container vulnerability scanning, and ArgoCD to perform automated Canary rollouts without downtime.
Scalable GPU-Enabled Model Serving Pipeline with Triton & Prometheus Monitoring
Deploy open-source language models on AWS EKS with Nvidia GPU operator, Triton Inference Server, custom auto-scaling metrics, and real-time Grafana telemetry.
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4Achievers Ghaziabad Learning Campus
Visit our state-of-the-art learning facility in Ghaziabad to meet industry mentors, review curriculums, and observe live training classes.
Campus Highlights & Facilities
- ✓ Dedicated GPU-enabled cloud lab sandboxes
- ✓ High-speed optical fiber WiFi & collaborative breakout pods
- ✓ 1-on-1 offline mentorship & architecture review rooms
- ✓ Career Mentorship Desk interview prep & mock coding booths
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Frequently Asked Questions (Ghaziabad)
Direct, transparent answers regarding batch modes, campus facilities, and Career Guidance & Interview Prepin Ghaziabad.