Cloud, DevOps & MLOps Engineering
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.
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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.
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.
Linux Internals, Cloud Networking & Terraform IaC
Master core systems administration, cloud networking topologies, and immutable infrastructure provisioning with Terraform.
Production Kubernetes (EKS), eBPF & GitOps with ArgoCD
Architect highly scalable Kubernetes clusters, optimize pod scheduling, and automate continuous application delivery with GitOps.
DevSecOps Pipelines, Canary Deployments & SRE Observability
Build automated security gates into CI/CD pipelines, execute zero-downtime canary rollouts, and implement enterprise observability.
Autonomous MLOps, Model Registries & Kubeflow Serving
Productionize machine learning architectures, track experiments, orchestrate automated retraining pipelines, and monitor model drift.
Industry Platform Engineering Live Projects
Build enterprise-grade cloud platforms and MLOps architectures that demonstrate deep platform leadership to senior engineering hiring managers.
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.
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.
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.
Master the Modern Cloud & MLOps Stack
Learn the exact cloud infrastructure, container orchestration, and MLOps tools expected by high-scale tech organizations.
Apply for Cloud, DevOps & MLOps Engineering
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Frequently Asked Questions
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