Zero to Hero AI DevOps Course Implementation with AWS Cloud

Course consists: 43 lectures totalTotal Duration : Nearly 46 hoursIn the modern tech landscape, traditional software delivery is rapidly evolving. Static continuous integration and deployment (CI/CD) pipelines are being upgraded into intelligent, self-optimizing systems. This masterclass takes you from foundational cloud architecture all the way to building cutting-edge, AI-assisted DevOps workflows on Amazon Web Services (AWS). Distilling over the years of real-world enterprise IT and cloud infrastructure experience into a streamlined, hands-on journey, this course bridges the gap between traditional system administration and the future of autonomous DevSecOps. You will not only learn how to automate deployments but also how to implement intelligent agents that autonomously debug build failures, analyze telemetry, and auto-remediate production incidents. Whether you are starting from scratch or looking to modernize your cloud expertise, this course provides a production-ready roadmap to architecting resilient, secure, and AI-powered cloud environments. Next-Gen AWS CI/CD Pipelines: Build automated, production-grade integration and deployment pipelines utilizing AWS CodePipeline, CodeBuild, and GitHub Actions.AI for DevOps: Implement the newly released AWS DevOps Agent and Model Context Protocol (MCP) servers (such as CircleCI and Datadog) to enable autonomous incident triage, root cause analysis, and automated bug fixes. Advanced Identity & DevSecOps: Secure your deployment pipelines by architecting Zero Trust identity frameworks. You will master complex identity governance, including cross-cloud federation between Microsoft Entra ID and AWS IAM to ensure least-privilege access.