About
DevOps with AI is a live, instructor-led training program designed to help you build job-ready DevOps skills and learn how to use AI to work faster, smarter, and with more confidence. In this hands-on course, you’ll learn how modern teams plan, build, test, release, and operate software reliably—while using AI assistants to accelerate scripting, troubleshooting, documentation, and automation. What you’ll learn • DevOps foundations: culture, CI/CD, Git workflows, branching strategies, and release best practices • Linux and networking essentials for DevOps engineers • Containers with Docker: images, registries, Compose, and container troubleshooting • Kubernetes fundamentals: deployments, services, ingress, config maps/secrets, scaling, and observability basics • Infrastructure as Code: automate environments and repeatable deployments (e.g., Terraform concepts and workflows) • Configuration management and automation: build repeatable server/app setups • CI/CD pipelines: build, test, and deploy using industry-standard tools and patterns • Cloud & DevOps operations: monitoring, logging, alerting, incident response, and cost-aware practices • DevOps with AI: prompt patterns for DevOps tasks, generating scripts safely, pipeline assistance, root-cause analysis support, and creating runbooks How the program works • Live interactive sessions with an expert trainer • Guided labs and real-world exercises after every module • A capstone project that mirrors real DevOps work: from code to production with automated pipelines • Q&A, doubt-clearing, and practical troubleshooting during class Who this is for • Students and working professionals aiming for DevOpsroles • Developers and QA engineers moving toward automation and CI/CD • System administrators transitioning to cloud-native operations By the end of the program, you’ll be able to design and run CI/CD pipelines, containerize applications, deploy to Kubernetes, automate infrastructure, and apply AI responsibly to speed up everyday DevOps tasks—ready to contribute to real projects from day one.