DevOps Certification Training with Gen AI

DevOps Engineering combines DevOps practices with AI tools to automate CI/CD, infrastructure, security, and monitoring. It boosts software delivery speed, reliability, and efficiency through smart automation, predictive analytics, and intelligent code generation.

CI/CD stands for Continuous Integration and Continuous Delivery/Deployment. It’s a set of practices that enables developers to integrate code changes frequently, automatically test them, and deploy them to production reliably and quickly.

Infrastructure as Code (IaC) is the process of managing and provisioning computing infrastructure through machine-readable definition files, rather than physical hardware or interactive configuration tools.

Configuration Management involves systematically handling changes to ensure infrastructure and applications maintain desired states. Tools like Ansible automate system configurations across environments.

Containerization is the process of packaging applications and their dependencies into lightweight containers using tools like Docker, ensuring consistency across multiple environments.

Kubernetes is an open-source container orchestration platform that automates deployment, scaling, and management of containerized applications across clusters of machines.

DevSecOps integrates security practices into the DevOps lifecycle, ensuring that security is a shared responsibility from development to production.

Learning AI-Enhanced DevOps equips you to build faster, more secure, and scalable software delivery pipelines. With hands-on experience in automation, CI/CD, IaC, and AI-driven tools, you’ll streamline development, reduce errors, and drive innovation across IT operations.

AI-integrated DevOps streamlines development by integrating automation, AI, and modern DevOps tools into a unified workflow. It reduces manual effort, enhances security, accelerates delivery, and transforms raw code and infrastructure into resilient, intelligent systems.

Absolutely. AI-integrated DevOps is in high demand as businesses adopt smarter, faster, and more secure software delivery methods. Mastering CI/CD, IaC, automation, and AI integration gives you a competitive edge in modern DevOps roles and cloud-native environments.

Learners should have a basic understanding of software development, version control (e.g., Git), and working knowledge of the Linux command line. Familiarity with CI/CD concepts, containers, and general IT operations will also be beneficial.

A DevOps Engineer is responsible for automating and streamlining software development and deployment pipelines, managing infrastructure, ensuring security, and improving system performance. This role requires expertise in CI/CD, cloud infrastructure, configuration management, and automation tools.

AI-driven DevOps brings intelligence to automation, enabling faster releases, fewer failures, and self-healing systems. It enhances traditional DevOps with predictive analytics, real-time optimizations, and smarter workflows.

As modern software delivery demands speed and intelligence, DevOps Engineers with AI skills are highly sought after. The role blends automation, collaboration, and smart tooling to streamline development and operations. You gain hands-on experience across CI/CD, infrastructure as code, and intelligent monitoring while working on AI-powered solutions that shape the future of software engineering.

Participants will learn to build intelligent, secure, and automated DevOps pipelines using tools like GitHub, Jenkins, Terraform, and Kubernetes, while leveraging AI for testing, monitoring, code generation, and predictive analytics.

Yes, it equips engineers with the skills to automate, optimize, and secure software delivery using intelligent tools and workflows. As companies embrace AI-powered development, these skills are in high demand across modern cloud environments.

This program is ideal for DevOps engineers, software developers, system administrators, cloud architects, and IT professionals aiming to build intelligent, automated, and secure DevOps pipelines using modern tools and AI. It’s also suited for those looking to upskill in CI/CD, IaC, container orchestration, and AI-driven automation.

Yes, DevOps is a strong career choice due to its high demand, excellent salary prospects, and critical role in accelerating software delivery. With continuous learning, cross-functional collaboration, and growing adoption of AI and automation, it offers long-term stability, impact, and growth across industries.

Beginners can easily learn AI-driven DevOps as it combines fundamental DevOps practices with intelligent automation. With Edureka’s proper guidance and a structured training program, newcomers can grasp tools like Jenkins, Kubernetes, Terraform, and AI integrations.

This program requires a computer with at least 8 GB RAM and an Intel Core i5 processor (or equivalent), running Windows 10+ or macOS. A stable, high-speed internet connection is essential for accessing course materials, DevOps tools, and cloud services like Jenkins, Docker, and Kubernetes.