What is the course fee and duration for IT Certification Training in Noida?

The IT Certification Training program at 4Achievers spans 2 to 4 months with weekend and weekday batch options. We offer Pay After Placement (₹0 upfront fees), easy EMI assistance, and up to 50% merit-based scholarship waivers.

Does 4Achievers provide job placement guarantee for IT Certification Training?

Yes, 4Achievers offers Guaranteed Placement Dedicated Support with unlimited MNC recruitment drives, ATS resume scoring, 1:1 technical mock interviews by industry leads, and connections with 450+ hiring partners.

Can I attend demo sessions in classroom or live online mode?

Yes, students can attend a free 1-on-1 demo session. Training is available in both physical classroom mode at our Noida center and interactive live online instructor-led batches.

Will I work on live industry projects and get certified?

Yes, students build 3+ industry capstone projects with Git portfolio integration and receive globally recognized 4Achievers certification upon successful course completion.

Home / Trending Programs 2026 / Cloud, DevOps & MLOps Engineering

Platform Engineering • 2026 Specialization

Cloud, DevOps & MLOps Engineering

Architect Multi-Region Cloud Platforms, Kubernetes GitOps & Continuous ML Retraining Pipelines

Master the platform engineering discipline powering modern software and AI. Build automated cloud infrastructure with Terraform IaC, orchestrate production Kubernetes clusters on AWS EKS, implement GitOps deployments with ArgoCD, and deploy autonomous MLOps pipelines with MLflow.

7 Months Duration

320+ Hrs Live Mentor Labs

1-on-1 Mentor Guidance

AWS Multi-AZ Dedicated EKS Labs

Apply for Upcoming 2026 Batch → Download Curriculum (PDF)

Get Expert Course Guidance

Speak with a Principal Architect & get a customized roadmap, syllabus, and 0% EMI plans.

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Dual Certification Industry Recognized Certification

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Multi-AZ AWS Cluster AWS EKS & Terraform Cloud Lab

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1:1 Technical Mentorship Architecture Reviews by Lead Engineers

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100% Placement Assistance Dedicated Interview Prep & Hiring Partner Drives

PLATFORM ENGINEERING REALITY

Beyond Basic Bash Scripts & Click-Ops

Manual console clicking is a liability. Modern engineering organizations demand immutable infrastructure as code, declarative GitOps deployments, autonomous Kubernetes scaling, and automated MLOps pipelines.

Infrastructure as Code & AWS Cloud

Define production networks, compute clusters, and databases declaratively with Terraform. Implement state locking, reusable modules, and automated drift detection across multi-AZ environments.

Production Kubernetes & GitOps with ArgoCD

Deploy hardened Kubernetes clusters on AWS EKS with Cilium eBPF networking and Karpenter autoscaling. Synchronize production workloads automatically from Git repositories using ArgoCD.

Autonomous MLOps & AI Pipeline Engineering

Go beyond conventional web applications. Build automated machine learning pipelines with Kubeflow, manage model registries with MLflow, and trigger automatic retraining upon statistical data drift.

COMPREHENSIVE SYLLABUS

Industry-Aligned Practical Modules

A comprehensive curriculum engineered by Principal SREs and Cloud Architects. Progress from Linux networking and Terraform IaC to Kubernetes cluster engineering, GitOps CI/CD, and enterprise MLOps.

MODULE 01 • 7 WEEKS

Linux Internals, Cloud Networking & Terraform IaC

Master core systems administration, cloud networking topologies, and immutable infrastructure provisioning with Terraform.

MODULE 1.1

Linux Kernel, Systemd & Networking Diagnostics

Process namespaces, cgroups, systemd services, TCP/IP stack tuning, iptables, and network troubleshooting with netstat/tcpdump.

MODULE 1.2

AWS Multi-AZ Cloud Architecture & Security

VPC peering, private subnets, NAT gateways, Route 53 DNS routing, IAM roles with least-privilege policies, and CloudWatch.

MODULE 1.3

Terraform HCL, Modularization & State Locking

Reusable modules, input variables, remote state in S3 with DynamoDB locking, terraform plan validation, and workspace isolation.

MODULE 1.4

Infrastructure Testing & Automated Drift Detection

Terratest in Go, tflint static analysis, Trivy IaC security scans, and scheduled drift reconciliation workflows.

HANDS-ON LIVE PROJECT: Multi-Tier High-Availability AWS Cloud Infrastructure Provisioned Entirely via Modular Terraform with Remote State Locking.

MODULE 02 • 7 WEEKS

Production Kubernetes (EKS), eBPF & GitOps with ArgoCD

Architect highly scalable Kubernetes clusters, optimize pod scheduling, and automate continuous application delivery with GitOps.

MODULE 2.1

Kubernetes Internals & EKS Cluster Engineering

API server, etcd consensus, controller managers, kube-proxy, worker node pools, and AWS EKS managed control planes.

MODULE 2.2

Next-Gen CNI Networking with Cilium eBPF

eBPF kernel-level packet filtering, Cilium network policies, service mesh capabilities, and transparent encryption.

MODULE 2.3

Dynamic Node Autoscaling with Karpenter

Replacing legacy cluster autoscalers with Karpenter, rapid EC2 spot instance provisioning, and bin-packing optimization.

MODULE 2.4

Declarative GitOps Delivery with ArgoCD

Application CRDs, Helm chart management, automated sync loops, health checks, and multi-cluster GitOps orchestration.

HANDS-ON LIVE PROJECT: Self-Healing Production Kubernetes Cluster on AWS EKS with Cilium eBPF, Karpenter Autoscaling, and ArgoCD GitOps Sync.

MODULE 03 • 7 WEEKS

DevSecOps Pipelines, Canary Deployments & SRE Observability

Build automated security gates into CI/CD pipelines, execute zero-downtime canary rollouts, and implement enterprise observability.

MODULE 3.1

Enterprise CI/CD with GitHub Actions

Self-hosted runners, OIDC authentication with AWS, caching strategies, and automated artifact publishing to Amazon ECR.

MODULE 3.2

Container Security, Trivy & Runtime Protection

Vulnerability scanning with Trivy, admission controllers with OPA Gatekeeper, and runtime threat detection with Falco.

MODULE 3.3

Zero-Downtime Progressive Delivery with Argo Rollouts

Blue/green switching, canary traffic splitting with AWS ALB, automated rollback triggers based on error budgets.

MODULE 3.4

Prometheus, Grafana & OpenTelemetry SRE Dashboards

PromQL queries, Grafana dashboards, Golden Signals of SRE, OpenTelemetry distributed traces, and Alertmanager routing.

HANDS-ON LIVE PROJECT: Production DevSecOps Deployment Pipeline with Automated Vulnerability Scans, Canary Rollouts, and SRE Alerting.

MODULE 04 • 7 WEEKS

Autonomous MLOps, Model Registries & Kubeflow Serving

Productionize machine learning architectures, track experiments, orchestrate automated retraining pipelines, and monitor model drift.

MODULE 4.1

MLflow Tracking, Artifacts & Model Registry

Experiment metadata tracking, model versioning, transition stages (Staging, Production), and artifact storage in S3.

MODULE 4.2

Feature Store Architecture with Feast

Offline stores (Snowflake/Parquet), low-latency online stores (Redis), point-in-time joins, and feature serving.

MODULE 4.3

Kubeflow Pipelines on Kubernetes Clusters

Containerized pipeline components, DAG execution on EKS, volume mounting, GPU resource slicing, and artifact passing.

MODULE 4.4

Model Drift Detection & Continuous Retraining Loops

Data drift and concept drift monitoring with Evidently AI, automated pipeline triggers on drift detection, and shadow deployment.

HANDS-ON LIVE PROJECT: End-to-End Autonomous MLOps Platform with Kubeflow, MLflow Registry, and Automated Retraining Loops Triggered by Data Drift.

PLATFORM PORTFOLIO

Industry Platform Engineering Live Projects

Build enterprise-grade cloud platforms and MLOps architectures that demonstrate deep platform leadership to senior engineering hiring managers.

LIVE PROJECT 01 • KUBERNETES GITOPS

Multi-Region Kubernetes GitOps Platform on AWS

A production multi-AZ AWS EKS cluster provisioned via Terraform, automated by ArgoCD, and equipped with Cilium eBPF networking and Karpenter autoscaling.

INFRASTRUCTURE: Terraform Modular Architecture + Remote S3 State

ORCHESTRATION: AWS EKS v1.31 + Karpenter Just-In-Time Node Scaling

NETWORKING: Cilium eBPF CNI with strict L3/L4/L7 network policies

DEPLOYMENT LOOP: ArgoCD multi-environment repository synchronization

LIVE PROJECT 02 • DEVSECOPS & SRE

Enterprise DevSecOps Pipeline with Canary Rollouts

An end-to-end automated deployment pipeline with integrated Trivy vulnerability scanning, OPA Gatekeeper policies, and Argo Rollouts canary deployments.

CI RUNNER: GitHub Actions with AWS OIDC authentication

SECURITY GATES: Trivy vulnerability gates + OPA admission control

CANARY STRATEGY: Argo Rollouts automated traffic shift (10% → 50% → 100%)

OBSERVABILITY: Prometheus metric evaluation with auto-rollback triggers

LIVE PROJECT 03 • AUTONOMOUS MLOPS

Autonomous MLOps Continuous Retraining Pipeline

A production model delivery platform that tracks experiments with MLflow, runs distributed training on Kubeflow, and automatically retrains on data drift.

PIPELINE RUNNER: Kubeflow Pipelines on EKS with GPU allocation

MODEL REGISTRY: MLflow Model Registry with versioning stages

FEATURE STORE: Feast Feature Store with Redis online cache

DRIFT DETECTION: Evidently AI monitoring triggering automated retraining

ENTERPRISE TOOLCHAIN

Master the Modern Cloud & MLOps Stack

Learn the exact cloud infrastructure, container orchestration, and MLOps tools expected by high-scale tech organizations.

IAC

Terraform

Declarative infrastructure as code, modular architecture, and state locks

CONTAINER ORCH

Kubernetes (EKS)

Production cluster design, CKA exam alignment, and pod scheduling

CLOUD PLATFORM

AWS Cloud

VPCs, IAM roles, EKS, ECR, S3, RDS, CloudWatch, and Route 53

GITOPS

ArgoCD

Declarative continuous delivery and GitOps reconciliation loops

CI/CD

GitHub Actions

Automated build, test, and container release pipelines with OIDC

PACKAGING

Helm 3

Kubernetes application packaging, templating, and versioning

OBSERVABILITY

Prometheus & Grafana

Metrics collection, PromQL alerts, and SRE telemetry dashboards

NETWORKING

Cilium eBPF

High-performance kernel networking, security policies, and mesh

MLOPS CORE

MLflow

Model registry, experiment tracking, and production stage lifecycle

ML PIPELINES

Kubeflow

Cloud-native machine learning workflows and GPU orchestration

SECURITY

Trivy & Falco

Container vulnerability scanning and runtime threat detection

AUTOSCALING

Karpenter

High-speed node autoscaling and cost optimization on AWS

ADMISSIONS • 2026 SPECIALIZATION

Apply for Cloud, DevOps & MLOps Engineering

Submit your details to receive the comprehensive 28-week platform curriculum breakdown, cloud lab sandbox details, and connect with our senior career counsellors.

COMMON QUESTIONS

Frequently Asked Questions

Direct answers regarding certifications, cloud sandbox credits, MLOps vs DevOps, and career assistance.

Does this course prepare me for CKA (Kubernetes) and AWS certifications?+

Yes. The syllabus aligns comprehensively with the domains of the Certified Kubernetes Administrator (CKA), Terraform Associate, and AWS Certified Solutions Architect - Associate exams.

What are the batch options and locations?+

Learners can attend classroom training in our Noida technical campus or join live interactive online sessions from anywhere in India. Weekend batches (Saturday-Sunday) are specially structured for working system admins, developers, and engineers.

What cloud lab and practical environments are provided?+

Every learner receives dedicated cloud lab environments on AWS to provision multi-AZ VPC networks, manage elastic Kubernetes (EKS) clusters, deploy ArgoCD GitOps pipelines, and build automated CI/CD workflows.

Why is MLOps included alongside DevOps?+

In 2026, leading enterprises are deploying AI and machine learning models alongside traditional software. MLOps (model registry, feature stores, drift monitoring, MLflow) represents the fastest-growing salary segment in the cloud industry.

How does 4Achievers support my job placement?+

We provide comprehensive career support: resume restructuring for Cloud/DevOps roles, live scenario-based mock interviews with senior DevOps leads, infrastructure portfolio building on GitHub, and direct interview scheduling with top Indian tech employers.

Can freshers or developers without cloud experience join?+

Yes. We start Module 01 with Linux administration, shell scripting, Git, and networking fundamentals before advancing to Docker, Terraform, Kubernetes, and automated release engineering.

Learning Hubs & Availability

Find Your Preferred Learning Location

Explore verified training hubs across Delhi NCR and India's prime tech corridors offering interactive live mentor labs, classroom options, and dedicated career placement support.

Delhi NCR Learning Hubs

Noida Campus HQ Hub

Sector 63 · Metro Connected

Delhi NCR Metro Connected

South Extension & Connaught Place

Gurgaon / Gurugram Tech Corridor

Cyber City · DLF Phase 2

Ghaziabad NCR Hub

RDC Raj Nagar

Greater Noida Campus Zone

Knowledge Park · Pari Chowk

India Tech Corridors & Nationwide Hubs