Master modern infrastructure, automation, and scalable software delivery with our Advanced DevOps program. This course is designed to help you build real-world DevOps expertise by working with industry-standard tools and production-ready workflows used by top engineering teams.Learn how to design and manage CI/CD pipelines, automate deployments, work with containers using Docker, orchestrate applications with Kubernetes, and deploy scalable infrastructure on cloud platforms like AWS. Gain hands-on experience with monitoring, logging, infrastructure automation, and DevOps best practices that power high-performing systems.Beyond the fundamentals, explore how AI-driven automation, intelligent monitoring, and modern DevOps practices are shaping the future of software engineering. Whether you're a student, developer, or working professional, this program will help you strengthen your practical skills, improve deployment confidence, and prepare for real-world DevOps roles.
10
Modules
15
Hands-on projects
Advance
Level
INSTRUCTOR
Yadnesh Nikam
Advanced SRE & Reliability Engineering Skills
Incident Management & Root Cause Analysis
High Availability & Scalability Practices
Real-World Production Simulations
Monitoring, Logging & Observability Mastery
Automation & Infrastructure Reliability
Kubernetes & Distributed Systems Handling
Performance Optimization & System Resilience
Mentorship from Industry Experts
Future-Ready Reliability Engineering Skills
Curriculum - Cloud + AI-powered DevOps
Container architecture
Namespaces & cgroups
Container runtimes (containerd / CRI-O)
Image layers & optimization
Container security
Tools: Docker, BuildKit, Trivy, Falco
API Server architecture
Scheduler internals
Controller Manager
etcd deep dive & cluster state management
CNI architecture with Cilium
Pod-to-Pod networking
L3 / L4 / L7 network policies
Ingress & Gateway API
Policy enforcement with Kyverno
Node autoscaling with Karpenter
Event-driven scaling with KEDA
Metrics collection with Prometheus
Dashboards with Grafana
Network & traffic insights with Cilium + Hubble
Application delivery with Argo CD
Drift detection & rollbacks
CI/CD integration
Traffic routing & mTLS
Service-to-service security
Sidecarless mesh concepts
AWS architecture patterns
Multi-region deployment
Load balancing strategies
CDN architecture
High availability design
Tools: AWS, CloudFront, Route53, Auto Scaling
Module architecture
State management
Workspaces
Terratest
Policy as code
Ansible advanced automation
Puppet architecture
GitOps architecture
ArgoCD / Flux
Multi-cluster GitOps
Progressive delivery
Jenkins pipelines
GitHub Actions advanced workflows
Artifact signing
Supply chain security
Prometheus architecture
Exporters
Alerting
ELK stack
Loki
OpenTelemetry
Jaeger
Grafana dashboards
Go fundamentals
Concurrency
REST APIs
Kubernetes client libraries
Tools: Go, client-go, cobra
SLIs / SLOs / SLAs
Error budgets
Incident response
Postmortems
Capacity planning
Load testing
Failover strategies
Failure injection
Resilience testing
ML pipelines
Model versioning
MLflow basics
Model deployment
Tools: MLflow, Kubeflow
Join our hands-on SRE Bootcamp and work on real-world cloud-native and AI-powered reliability engineering projects designed for modern production environments. Gain practical experience with Kubernetes, cloud platforms, observability tools, infrastructure automation, incident management, and intelligent monitoring systems while building scalable, resilient, and production-ready systems used by leading tech companies.
Deploy a PHP-based e-commerce application on Ubuntu with Apache, MariaDB and Linux service, networking and security configuration.
Build a Bash-based Linux monitoring utility that collects system metrics, monitors services and processes, and generates automated reports and alerts.
Build a Bash-based deployment automation tool that updates Kubernetes deployment manifests in a Git repository and creates a Pull Request for application releases.
Design and deploy a highly available, fault-tolerant 3-tier e-commerce platform on AWS with automated scaling, load balancing, private networking and a managed relational database.


Sucharitha Poluka
Senior DevOps Engineer
+211%
Salary hike
Software EngineerSr DevOps Engineer
"Moving from dev to a senior DevOps role at a global enterprise was seamless thanks to the deep dive into Kubernetes, CI/CD and GitOps practices."

Parag Telang
SR. SRE @ MASTERCARD
+144%
Salary hike
Devops EngineerSr. SRE
"A well-structured DevOps & SRE program with excellent hands-on labs, real-world troubleshooting, and interview preparation. It helped me sharpen my cloud, Kubernetes, CI/CD, and SRE skills, contributing to my transition to a Senior SRE role at Mastercard."
Master modern Site Reliability Engineering by learning Linux, cloud infrastructure, Kubernetes, observability, automation, incident management, and production reliability practices. Gain hands-on experience with real-world infrastructure, monitoring systems, scalable deployments, and AI-powered operational workflows used by modern tech companies.
Course fees
₹89,999
Final pricing refers to the last and definitive cost of a product or service, including all applicable fees and discounts.
What's included
Live Interactive Classes
Lifetime Recorded Sessions
Study Material & PDFs
Enterprise Assignments
Production AI Projects
1:1 Mentorship Sessions
Mock Interviews
Resume Reviews
Portfolio Building
Industry Certification
Placement Assistance
Pay by UPI, cards, wallet or net banking
Monthly EMI options upto (24) Months
Flexible monthly EMI plans available for up to 24 months.
Modes of Payment ( UPI, Cards, Wallet, Net Banking)
Explore the various modes of payment available today: UPI for instant transfers, cards for secure transactions, wallets for convenience, and net banking for easy online management. Each option offers unique benefits to suit your needs.
Get the complete course details in our brochure.
CodeKerdos is more than just courses. It's a complete learning ecosystem designed to help you gain real skills, build industry-ready projects, get guidance from experienced mentors, and become job-ready.
Explore our coursesLive Classes
& Recordings
1:1 Mentorship
& Guidance
Real-world
Projects
Career Support
& Interview Prep
Career Growth Hub
Guaranteed Skill Transformation
113%
Avg. Salary Hike
Live
Mentor-led Classes
1:1
Dedicated Mentorship
Offer Letter Received
Tier-1 Product Company
1:1 Mentor Available
Project Review
"Production-grade architecture with GenAI integration."
Next Cohort Starting
Limited Seats Available