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Immerse yourself in our comprehensive DevOps course in New York. Covering essential topics like automation, continuous integration/continuous deployment (CI/CD), cloud computing, and containerization, our curriculum ensures a deep understanding of DevOps principles. Hands-on exercises and real-world scenarios enhance practical skills, while collaborative projects foster teamwork. Explore industry-standard tools, learn to optimize software development pipelines, and master the art of efficient collaboration between development and operations teams. Elevate your career with this immersive New York DevOps experience, equipping you with the knowledge and expertise needed to thrive in today's fast-paced IT landscape.
The DevOps Training Bootcamp in New York offers a comprehensive introduction to the concepts of DevOps, designed for individuals who want to build a successful career in the DevOps domain. The course is developed by experts covering concepts from basic to advanced levels, providing the learner with the skills that are essential for streamlining software development and IT operations. Additionally, the learners will gain Hands-on experience with real-life projects, which will help them to understand and solve real-life scenarios and problems.
This industry-leading program covers the complete DevOps lifecycle integrated with Generative AI capabilities. You'll master essential DevOps tools including Docker, Kubernetes, Jenkins, Terraform, Ansible, and cloud platforms like AWS, Azure, and GCP. What sets this course apart is the GenAI integration. You'll learn to leverage AI-powered tools for intelligent automation, code generation, predictive monitoring, and self-healing infrastructure. By completion, you'll have hands-on experience with 30+ industry tools, GenAI-assisted DevOps workflows, and 10 real-world projects.
DevOps is a cultural philosophy and a set of practices supported by tools that bring together software development (Dev) and IT operations (Ops). Its goal is to automate and accelerate the software delivery lifecycle by improving collaboration, communication, and continuous integration, resulting in faster, more reliable releases. By breaking down traditional silos between teams, DevOps enables developers and operations teams to work together across the entire lifecycle; from planning and development to deployment and monitoring to ensure that high-quality software can be delivered quickly and consistently to meet customer needs.
GenAI is woven throughout the curriculum, not treated as an afterthought. You'll learn to use AI coding assistants like GitHub Copilot for writing Infrastructure as Code and automation scripts. The course covers AI-powered monitoring and AIOps platforms for intelligent alerting and root cause analysis. You'll explore ChatOps integration, natural language infrastructure queries, and GenAI tools for documentation generation, incident summarization, and automated runbook creation. This prepares you for the future of DevOps where AI augments every stage of the software delivery lifecycle.
This course is designed with a progressive learning path that welcomes motivated beginners while also challenging experienced professionals. We start with DevOps fundamentals and Linux basics before advancing to complex topics and GenAI integration. If you have basic programming knowledge and understand how software applications work, you're ready to begin. Our hands-on labs break down complex concepts into practical exercises, and no prior DevOps or AI experience is require
Yes, learning DevOps with GenAI is absolutely worth it. As a rapidly growing field with significant potential to revolutionize how organizations build, deploy, and manage software, it is regarded as one of the most valuable skill combinations for the future of work. GenAI is transforming DevOps by automating complex tasks, enabling intelligent decision-making, and facilitating seamless human-AI collaboration across CI/CD pipelines, infrastructure management, and incident response. Professionals with both DevOps and GenAI skills are commanding premium salaries across industries.
In order to complete this course successfully, participants need to have a basic understanding of programming concepts (preferably Python or Shell scripting), Linux fundamentals, and general IT operations. Familiarity with cloud computing basics is helpful but not mandatory. However, learners will be provided with self-learning refresher material on Linux, Git, and foundational DevOps concepts before beginning the live classes. No prior experience with Generative AI is required as GenAI fundamentals are covered within the course.
Upon completing the Advanced DevOps Certification Training with GenAI, participants will learn to design and build automated CI/CD pipelines using tools like Jenkins, GitHub Actions, and ArgoCD. They will implement containerization with Docker, orchestration with Kubernetes, and Infrastructure as Code using Terraform and Ansible. The course covers GenAI integration with tools like GitHub Copilot and Amazon CodeWhisperer for intelligent code generation, AIOps platforms for predictive monitoring, and ChatOps for natural language automation. Participants will also learn cloud deployment on AWS, Azure, and GCP, along with observability using Prometheus, Grafana, and ELK Stack. Hands-on projects ensure practical expertise in building scalable, real-world DevOps solutions powered by AI.
The Advanced DevOps Certification Training with GenAI is ideal for IT enthusiasts, developers, and professionals looking to build automated, intelligent software delivery pipelines. It is best suited for:
Yes, GenAI-powered DevOps is shaping the future of software delivery by enabling intelligent, automated systems that can reason, predict, and act independently. Unlike traditional DevOps, which relies heavily on manual scripting and rule-based automation, GenAI-powered DevOps dynamically adapts, learns from patterns, and interacts with infrastructure intelligently.
As industries move toward faster releases, zero-downtime deployments, and self-healing infrastructure, GenAI will play a crucial role in revolutionizing CI/CD pipelines, incident management, security automation, and infrastructure optimization.
A step-by-step guide for setting up environments, configuring DevOps tools, and integrating GenAI assistants will be provided in the Learning Management System (LMS). Participants will have access to cloud-based lab environments for practicing Docker, Kubernetes, Terraform, CI/CD pipelines, and GenAI tools without complex local setups. Edureka's Support Team will be available 24/7 to assist learners in case they have any questions or face any technical issues during the practicals.
The system requirements for this Advanced DevOps Certification Training with GenAI include:
Hardware Requirements:
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