Program Highlights Engineered for Career Breakthroughs
A high-intensity, career-first learning curriculum developed alongside industry architects to deliver tangible production competence, verified credentials, and guaranteed corporate experience.
6 Months Instructor-Led
Live interactive classes led by Senior Engineers & Tech Leads from top product firms. 150+ hours of live instruction, recorded sessions, and dedicated weekly 1-on-1 doubt clearing.
IBM Learning Ecosystem Access
Authorized access to the IBM SkillsBuild enterprise learning portal, official cloud tools, and verified IBM credentials that authenticate your skills to global employers.
Microsoft Learning Ecosystem Access
Direct access to Microsoft Learn resources, real cloud sandbox architectures, and scenario-based hands-on exercises aligned with industry certification standards.
Projects: Hands-on Portfolio
Build 10+ production-grade end-to-end applications deployed to GitHub and cloud infra. Create a public portfolio of real architectures that impresses technical interviewers.
Credentials: Credential Pathways
Receive verifiable digital badges and accredited certificates recognized across 500+ recruitment partners. Directly shareable on LinkedIn, resumes, and candidate profiles.
Internship*: 6-Month Paid Corporate Internship*
Guaranteed entry into real corporate project teams upon completing capstones. Earn an assured monthly stipend along with an official corporate experience letter.
What You Will Learn
Comprehensive curriculum engineered by Staff Engineers to bridge theoretical concepts and production deployment.
Master the low-level operating system mechanics powering modern container infrastructure.
- ✓ Linux Kernel Architecture: Process states, memory management, system calls, and file descriptors
- ✓ Linux Networking: iptables, netfilter, DNS resolution (/etc/resolv.conf), and routing tables
- ✓ Shell Scripting: Bash automation, error handling, exit codes, and automated system maintenance cron jobs
- ✓ System Security: SSH key hardening, sudo privilege separation, and systemd service unit management
Engineer secure, lightweight container images and orchestrate multi-container environments.
- ✓ Container Internals: Linux namespaces (PID, NET, MNT, IPC), cgroups, and overlay2 storage drivers
- ✓ Production Dockerfile Patterns: Multi-stage builds, distroless images, and non-root execution
- ✓ Container Networking: Bridge, host, and overlay networks; service discovery via Docker DNS
- ✓ Image Scanning: Trivy and Clair integration to achieve zero CVE vulnerabilities in base images
Deploy, orchestrate, and manage resilient applications across Kubernetes clusters.
- ✓ Kubernetes Architecture: API Server, etcd, Controller Manager, Scheduler, Kubelet, and Kube-proxy
- ✓ Pod Lifecycle: Init containers, liveness probes, readiness probes, and startup probes
- ✓ Workload Controllers: Deployments, ReplicaSets, StatefulSets for databases, DaemonSets, and CronJobs
- ✓ Configuration & Secrets: ConfigMaps, Secrets, External Secrets Operator, and HashiCorp Vault integration
Implement enterprise traffic management, service discovery, and zero-trust mesh communication.
- ✓ Container Network Interface (CNI): Calico, Flannel, and AWS VPC CNI routing policies
- ✓ Ingress Controllers: NGINX Ingress, Traefik, Cert-Manager for automated Let's Encrypt TLS certificates
- ✓ Service Meshes with Istio: Sidecar injection, mTLS mutual encryption, traffic splitting, and fault injection
- ✓ Network Policies: Microsegmentation and strict ingress/egress firewall rules within the cluster
Automate continuous software delivery using version-controlled GitOps patterns.
- ✓ Package Management with Helm: Chart structure, values overriding, Helm templates, and chart repositories
- ✓ GitOps with ArgoCD: Declarative application sync, self-healing, automated prune, and multi-cluster management
- ✓ Progressive Delivery: Canary deployments, Blue/Green strategies, and automated metric rollbacks with Flagger
- ✓ Secrets Management: Sealed Secrets and SOPS for committing encrypted credentials into Git
Monitor production clusters and run scalable AI/LLM model serving workloads on Kubernetes.
- ✓ Prometheus & Grafana: PromQL querying, node-exporter, kube-state-metrics, and Alertmanager routing
- ✓ Log Aggregation: Loki, Promtail, and distributed tracing with OpenTelemetry and Jaeger
- ✓ Running AI on Kubernetes: GPU Operator, NVIDIA container runtime, and KubeRay cluster management
- ✓ Cluster Autoscaling: Cluster Autoscaler, Horizontal Pod Autoscaler (HPA) with custom Prometheus metrics
Tools & Technologies
Hands-on enterprise stack used across the program.
6-Month Career Transition Roadmap
A structured, milestone-driven progression designed to take you from foundational concepts to production-grade deployment and enterprise employment.
Foundations & Core Engineering
Master fundamental syntax, systems architecture, statistical principles, and core tooling required to build reliable technical foundations.
Advanced Implementation & Labs
Deep-dive into production frameworks, cloud integrations, automated pipelines, and enterprise-grade hands-on laboratory architectures.
Guaranteed Corporate Internship
Work on real corporate projects during your guaranteed 6-month paid internship* with monthly performance stipends and verified industry credentials.
Placement & Career Advancement
Access 1-on-1 interview preparation, resume branding, mock evaluations, and direct recruitment pathways across our 500+ corporate partners.
Production Capstone Projects
Build a portfolio of enterprise-grade projects evaluated by working tech leaders.
Declarative Zero-Downtime GitOps Multi-Cluster Setup
Multi-environment GitOps pipeline synchronizing Kubernetes state across staging and production using ArgoCD.
Production Microservices Observability with Istio
Service mesh architecture implementing mutual TLS (mTLS), traffic splitting, circuit breakers, and distributed tracing.
Hardened Container Build & Vulnerability Scan Pipeline
Automated build pipeline scanning images with Trivy, verifying cryptographic cosign signatures before deployment.
Intelligent Incident Triage with Prometheus & Grafana
Real-time telemetry pipeline utilizing automated anomaly alerts and incident runbook automation for cluster health.
Career Opportunities & Outcomes
Prepare for top-tier roles across our 500+ corporate recruitment partners.
High-Demand Career Tracks:
Frequently Asked Questions
Everything you need to know about admissions, curriculum, and internships.
This program is beginner-friendly and starts from fundamental core principles before advancing to production-grade enterprise implementations. Prior exposure to basic computing or programming is helpful but not mandatory.
Upon fulfilling course benchmarks and capstone assessments, you are placed into a guaranteed 6-month corporate paid internship* offering competitive monthly performance stipends with verified corporate experience letters and industry credentials.
You will earn official credentials and digital badges aligned with CKA Aligned Curriculum, alongside an official AI Campus Certificate of Mastery that is verifiable on LinkedIn and recognized by 500+ corporate hiring partners.
The program fee of ₹80,000 (inclusive of GST) can be paid via 0% interest no-cost EMI starting from ₹6,666/month with zero down payment required.
Graduates qualify for high-growth roles in Cloud & DevOps with corporate salary packages typically spanning from ₹8 - 26 LPA, backed by our dedicated 100% placement support team.
Confused about your career path? Don't wait — talk directly to a mentor.
Get transparent, personalized guidance on curriculum, eligibility, scholarship waivers, and the guaranteed monthly paid corporate internship*. No sales pressure — just honest advice from working tech leaders.
