Join Advance DevOps to master modern software delivery and infrastructure automation! Sharpen your skills in CI/CD pipelines, containerization, cloud platforms, and monitoring, learn to manage scalable deployments with tools like Docker, Kubernetes, and AWS, and build production-ready systems — all while exploring how AI-driven automation and intelligent monitoring are transforming the future of DevOps engineering.
Yadnesh Nikam
Advance
AWS certification
End-to-End DevOps Mastery
Cloud-Native Excellence
Advanced CI/CD Pipelines
Mentorship & Real-World Simulations
Infrastructure as Code (IaC)
Containerization & Orchestration
Observability & Monitoring
Future-Ready Skills
DevOps & Platform Engineering
Site Reliability Engineering (SRE)
Startups & Scale-Ups
AI & AIOps Roles
Cloud & Infrastructure
Enterprise IT & Consulting
Security & Compliance (DevSecOps)
Freelancing & Remote Work
Advance DevOps is your gateway to becoming a cloud-native, automation-driven engineer capable of managing modern software delivery pipelines and scalable infrastructures. This comprehensive program takes you from the foundations of DevOps culture and CI/CD practices to mastering infrastructure automation, container orchestration, cloud platforms, and intelligent monitoring systems.
You'll start by learning CI/CD pipeline design and infrastructure as code, then move on to containerization with Docker and orchestration with Kubernetes. From there, you'll explore cloud deployments on AWS, Azure, or GCP, dive into observability with Prometheus, Grafana, and ELK, and implement DevSecOps practices to secure and streamline your delivery pipelines. Along the way, you'll also learn how to leverage AI-driven DevOps (AIOps) for predictive monitoring, automated incident response, and intelligent scaling decisions.
Through hands-on labs, real-world projects, and expert mentorship, you'll gain the ability to build, deploy, monitor, and scale applications in production environments with confidence.
By the end of the course, you'll have the practical expertise, automation-first mindset, and job-ready confidence to excel as a DevOps Engineer, Site Reliability Engineer (SRE), Cloud Engineer, or Platform Specialist across tech companies, SaaS platforms, startups, and enterprise IT.
With a structured curriculum, industry-grade projects, and career-focused guidance, Advance DevOps is designed to make you a highly sought-after engineer and future-proof your career in the age of AI-powered automation and intelligent operations.
Before joining CodeKerdos, I was stuck in a support-focused tech role and always dreamt of moving into product development. The DevOps course gave me a clear path with structured learning, real-world projects, and continuous mentor support.
The mock interviews, job preparation sessions, and one-on-one guidance helped me not just gain technical skills but also the confidence to crack interviews. Thanks to this, I successfully transitioned into a core DevOps role.
Join our innovative DevOps Bootcamp, where you'll dive into hands-on projects that leverage cloud technology and artificial intelligence. You'll learn to automate workflows, enhance collaboration, and optimize deployment processes. Get ready to tackle real-world challenges and build skills that will set you apart in the tech industry!
Developed shell scripts to track CPU, memory, and disk usage in real time. Deployed automated alerts to proactively detect performance issues and prevent downtime.
Deployed a static website on Amazon S3 with serverless backend. Integrated AWS Comprehend through Lambda & API Gateway for real-time sentiment analysis.
Collaborated in teams using Git branching strategies, pull requests, and conflict resolution. Improved version control practices and streamlined development workflows.
Built a CI/CD pipeline that automated testing, builds, and deployment to AWS EC2. Ensured faster release cycles and reliable deployments.
Containerized a web application using Docker and orchestrated services with Docker Compose. Simplified local development and achieved environment consistency.
Deployed a multi-tier application on Kubernetes using Pods, ConfigMaps, Secrets, and Ingress. Used KillerKoda playgrounds for scalable, hands-on cloud-native practice.
Discover all the essential information about our courses in our detailed brochure. Get insights on curriculum, schedules, and enrollment options to help you make the best choice for your education.
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Flexible monthly EMI plans available for up to 24 months.
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