Why enroll for Advanced DevOps Certification Training with GenAI in Calgary?
Average salary of a DevOps Engineer in Calgary is $137,000.
Companies hiring devops professionals in Calgary – Google, Amazon, Deutsche Bank, Goldman Sachs & many more
According to Linkedin, 669+ DevOps jobs available in Calgary
DevOps Training with GenAI Benefits in Calgary
The DevOps market is growing rapidly, as organizations worldwide adopt DevOps practices driven by cloud-native technologies, containerization, and AI-powered automation. Our comprehensive program equips you with job-ready skills to stand out, as demand for skilled DevOps professionals is at an all-time high.
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Why Advanced DevOps Certification Training with GenAI from edureka in Calgary
Live Interactive Learning
World-Class Instructors
Expert-Led Mentoring Sessions
Instant doubt clearing
Lifetime Access
Course Access Never Expires
Free Access to Future Updates
Unlimited Access to Course Content
24x7 Support
One-On-One Learning Assistance
Help Desk Support
Resolve Doubts in Real-time
Hands-On Project Based Learning
Industry-Relevant Projects
Course Demo Dataset & Files
Quizzes & Assignments
Industry Recognised Certification
Edureka Training Certificate
Graded Performance Certificate
Certificate of Completion
About your Advanced DevOps Certification Training with GenAI
DevOps Skills Covered in Calgary
CI/CD Pipeline Design & Automation
Container Orchestration
Infrastructure as Code (IaC)
Observability & Site Reliability Engineering
DevSecOps & Security Integration
AI-Powered DevOps
DevOps Tools Covered in Calgary
DevOps Course Curriculum in Calgary
Curriculum Designed by Experts
DOWNLOAD CURRICULUM
Through the DevOps training in Calgary with Edureka, you will learn the processes and principles that define, govern, and dictate DevOps. In this Devops certification in Calgary you will learn all the techniques that are involved in continuous development, integration, and deployment of projects using DevOps and its tools. Further, you can streamline the workflow, inter-team communication, feedback loops using DevOps principles and automation. These skills will also make it easier to manage, measure, and monitor projects as they move towards complete development. DevOps course in Calgary powered by Edureka will act as the stepping stone for your future success!
Module 1: DevOps Fundamentals, Culture, and AI Transformation
9 Topics
Topics
Introduction to DevOps: History, Evolution & Benefits
DevOps Culture, Practices & Core Principles
DLC vs DevOps Lifecycle
DevOps Toolchain Overview & Tool Selection
Agile, Lean & DevOps Integration
Key Metrics: DORA Metrics, Lead Time, MTTR, Change Failure Rate
DevOps Transformation Roadmap
Introduction to AI in DevOps: Overview & Use Cases
Essential Linux Commands for DevOps
Hands-on
Set up DevOps learning environment
Create DevOps maturity assessment for a sample organization
Design a DevOps transformation roadmap
Calculate and analyze DORA metrics from case studies
Practice essential Linux commands for daily DevOps tasks
Explore AI tools landscape for DevOps
Skills
Understanding DevOps philosophy, principles, and lifecycle
Differentiating between traditional and DevOps approaches
Identifying key DevOps metrics and KPIs (DORA)
Recognizing AI's transformative role in DevOps
Mapping DevOps career paths
Module 2: GitHub Copilot & AI-Assisted Development
9 Topics
Topics
Introduction to GitHub Copilot & AI Coding Assistants
Setting up Copilot in VS Code & JetBrains IDEs
Copilot for Shell Script & Bash Generation
AI-Assisted Python Scripting for Automation
Prompt Engineering Best Practices for DevOps
Copilot Chat for Code Explanation & Debugging
AI Code Review & Suggestions
Copilot for Documentation Generation
Ethical AI Usage & Best Practices
Hands-on
Install and configure GitHub Copilot in VS Code
Generate shell scripts for system automation using Copilot
Create Python automation scripts with AI assistance
Use Copilot Chat for code explanation and debugging
Practice prompt engineering for DevOps tasks
Generate documentation using Copilot
Compare AI-generated code with manual coding
Skills
Setting up and configuring GitHub Copilot
Leveraging AI for code and script generation
Using Copilot for infrastructure code generation
Applying prompt engineering techniques for DevOps
Accelerating development with AI assistance throughout course
Module 3: Version Control with Git & GitHub
10 Topics
Topics
Git Fundamentals: Architecture & Workflow
Git Installation & Configuration
Repository Operations: Clone, Commit, Push, Pull
Branching Strategies: GitFlow, Trunk-Based Development
Merging, Rebasing & Conflict Resolution
GitHub: Pull Requests, Code Reviews, Issues
Git Tags, Stash & Advanced Commands
Git Hooks & Pre-commit Automation
GitHub Actions Introduction
Using Copilot for Git Commands & Workflows
Hands-on
Initialize Git repository for a project
Create feature branches and merge workflows
Resolve merge conflicts in team scenarios
Set up GitHub repository with branch protection
Implement GitFlow workflow with Copilot assistance
Create and manage pull requests with code reviews
Configure Git hooks for code quality
Skills
Implementing version control workflows
Managing branches and resolving conflicts
Collaborating using GitHub (with Copilot assistance)
Applying Git best practices in team environments
Implementing Git hooks and automation
Module 4: CI/CD Fundamentals & Pipeline Design
10 Topics
Topics
Continuous Integration Principles & Benefits
Continuous Delivery vs Continuous Deployment
CI/CD Pipeline Architecture & Stages
Build Automation & Artifact Management
Automated Testing in CI/CD (Unit, Integration, E2E)
Code Quality Gates & Static Analysis
Deployment Strategies: Blue-Green, Canary, Rolling
Pipeline as Code Concepts
CI/CD Security Considerations
Metrics & KPIs for CI/CD
Hands-on
Design multi-stage CI/CD pipeline architecture
Create a simple CI pipeline with automated builds
Implement automated testing in pipeline
Set up artifact repository
Simulate blue-green deployment strategy
Build a deployment pipeline decision tree
Design pipeline for microservices application
Skills
Designing CI/CD pipelines for various scenarios
Understanding pipeline stages and best practices
Implementing automated testing strategies
Applying CI/CD patterns and anti-patterns
Planning deployment strategies
Module 5: Jenkins CI/CD Implementation
10 Topics
Topics
Jenkins Architecture & Installation
Jenkins UI & Job Configuration
Freestyle vs Pipeline Jobs
Declarative Pipeline Syntax
Jenkinsfile & Pipeline as Code
Jenkins Plugins: Git, Maven, Docker, SonarQube
Distributed Builds & Jenkins Agents
Jenkins Security & Access Control
Jenkins Shared Libraries
Jenkins Integration with Cloud Platforms
Hands-on
Install Jenkins on Linux server
Create freestyle job with Git integration
Build Java/Python application pipeline
Write Jenkinsfile for multi-stage pipeline using Copilot
Configure Jenkins agents for distributed builds
Implement parameterized builds
Set up Jenkins credentials and role-based access
Create shared library for reusable pipeline code
Skills
Installing and configuring Jenkins
Creating declarative and scripted pipelines
Integrating Jenkins with Git, Docker, and build tools
Implementing advanced Jenkins features
Using Copilot for Jenkinsfile generation
Module 6: GitHub Actions & Modern CI/CD
10 Topics
Topics
GitHub Actions Architecture & Concepts
Workflow Syntax & Triggers
Jobs, Steps & Actions
Secrets & Environment Variables
Matrix Builds & Strategy
Caching & Artifacts
Reusable Workflows & Composite Actions
Self-Hosted Runners
GitHub Actions Marketplace
Security Best Practices for Actions
Hands-on
Create first GitHub Actions workflow
Build multi-platform application with matrix builds
Implement caching for faster builds
Create reusable workflow for deployment
Set up self-hosted runner
Integrate Docker build and push
Implement security scanning with CodeQL
Compare workflow with equivalent Jenkins pipeline
Skills
Building workflows using GitHub Actions
Implementing matrix builds and caching
Creating reusable workflows and actions
Integrating security scanning in workflows
Comparing GitHub Actions with Jenkins
Module 7: Docker Fundamentals & Best Practices
10 Topics
Topics
Introduction to Containerization & Benefits
Docker Architecture: Images, Containers, Registry
Docker Installation & Configuration
Docker Images: Building, Tagging, Pushing
Dockerfile Best Practices & Multi-Stage Builds
Container Lifecycle Management
Docker Networking: Bridge, Host, Overlay
Docker Volumes & Data Persistence
Container Resource Management
Docker Logging & Debugging
Hands-on
Install Docker on Linux
Run your first container
Create custom Dockerfile for web application with Copilot
Build multi-stage Docker images
Push images to Docker Hub
Configure container networking
Implement volume mounting for data persistence
Containerize a 3-tier application
Debug container issues
Skills
Understanding containerization concepts
Building and managing Docker images
Running and orchestrating containers
Implementing Docker networking and storage
Using Copilot for Dockerfile generation
Module 8: Docker Advanced, Compose & Registry
10 Topics
Topics
Docker Image Optimization Techniques
Docker Compose: Architecture & Syntax
Multi-Container Application Management
Docker Compose for Development & Testing
Docker Security: Image Scanning, Secrets
Vulnerability Scanning with Trivy
Docker Registry: Harbor, ECR, ACR
Docker in CI/CD Integration
Docker Buildx & Multi-Platform Images
Container Runtime Security
Hands-on
Optimize Docker image size (reduce by 70%+)
Create Docker Compose file for microservices with Copilot
Deploy multi-tier application with Docker Compose
Configure custom networks and service discovery
Implement Docker secrets management
Scan images for vulnerabilities using Trivy
Build automated Docker image pipeline
Set up private Docker registry
Skills
Optimizing Docker images for production
Orchestrating multi-container applications
Implementing Docker security best practices
Managing private Docker registries
Integrating Docker in CI/CD pipelines
Module 9: Kubernetes Fundamentals
10 Topics
Topics
Kubernetes Architecture: Control Plane, Nodes
Kubernetes Objects: Pods, Services, Deployments
Kubernetes Installation: Minikube, kind, kubeadm
kubectl Commands & Operations
YAML Manifests for Kubernetes
ReplicaSets & Deployments
Services & Networking in Kubernetes
ConfigMaps & Secrets Management
Labels, Selectors & Annotations
Kubernetes Namespaces
Hands-on
Set up Minikube cluster locally
Deploy first pod using kubectl
Create deployment for web application with Copilot
Expose application using Services (ClusterIP, NodePort, LoadBalancer)
Calculate potential savings from Reserved Instances
Implement Spot instances for non-critical workloads
Create cost optimization recommendations report
Build cost dashboard with Grafana
Implement automated cost alerts and actions
Skills
Implementing FinOps practices and principles
Optimizing cloud costs across AWS and Azure
Using AI for cost prediction and optimization
Implementing cost governance and allocation
Designing cost-aware architectures
DevOps Training in Calgary Description
Make collaboration easier and increase the efficiency of your business with our DevOps certification training in Calgary. In this Devops course in Calgary, we will be covering everything that you need to know about DevOps and its tools. We will begin with the importance of DevOps and why it has gained such prominence in recent times. Through the DevOps training in Calgary, you will learn version control using Git, continuous integration using Jenkins, continuous testing through Selenium, continuous deployment through Docker, and configuration management with Ansible, amongst the many other things. All the training modules revolve around striking the perfect balance between theoretical knowledge and hands-on practical training. The industry experts involved in designing the DevOps course in Calgary at Edureka have extensive experience in their field and once you have successfully completed the training and course, you will be fit for scoring high positions at MNCs. Edureka awards a certification upon the completion of the course, which will be the highlight of your resume.
What will I learn in the Advanced DevOps Certification Training with GenAI?
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.
What is DevOps?
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.
How is Generative AI integrated into this DevOps training program?
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.
Is this Advanced DevOps course suitable for beginners with no prior experience?
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
Is it worth learning DevOps with GenAI?
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.
What are the prerequisites for this Advanced DevOps Certification Training with GenAI?
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.
Why should professionals become DevOps Engineers with GenAI skills?
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.
Who should take this Advanced DevOps Certification Training with GenAI?
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:
Software Developers wanting to expand into DevOps
System Administrators transitioning to cloud and automation roles
IT Operations professionals seeking modern DevOps practices
DevOps Engineers looking to upgrade their skills with GenAI
Cloud Engineers wanting to integrate AI into infrastructure management
Freshers who want to leverage DevOps and GenAI for career growth
Is GenAI-powered DevOps the future?
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.
How will I execute the practicals in this Advanced DevOps Certification Training with GenAI?
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.
What are the system requirements for this Advanced DevOps Certification Training with GenAI?
The system requirements for this Advanced DevOps Certification Training with GenAI include:
Hardware Requirements:
CPU: Multi-core processor (minimum 2 cores, 4 or more recommended)
Memory (RAM): At least 8 GB (16 GB recommended for running Docker and Kubernetes locally)
Storage: Minimum 50 GB of free disk space for container images and tools
GPU: Not required for this course
Software Requirements:
Operating System: Windows 10/11, macOS, or Linux (Ubuntu 20.04+ recommended for DevOps development)
Programming Language: Basic proficiency in Python or Shell scripting
Development Tools: VS Code, Terminal/Command Line
Virtualization: Docker Desktop (installation guided in course)
Browser: Chrome or Firefox for accessing cloud consoles and GenAI tools
Package Management: Familiarity with pip, npm, or apt is helpful
DevOps Training Projects in Calgary
Build an AI-Powered CI/CD Pipeline Generator
Develop an intelligent CI/CD pipeline generator using GitHub Copilot and LLMs that automatically creates optimized Jenkins and GitHub Actions pipelines based on project requireme....
Create an AIOps-Powered Incident Response System
Build an intelligent incident management system that uses machine learning to detect anomalies in production environments, predict system failures, and automatically trigger reme....
Design a GitOps-Based Multi-Cloud Deployment Platform
Develop a comprehensive GitOps platform using ArgoCD and Flux CD that enables declarative, automated deployments across AWS, Azure, and GCP. Implement progressive delivery strate....
Build a Kubernetes Resource Optimization Agent with AI
Create an AI-powered agent using Python and Kubernetes APIs that continuously monitors cluster resource utilization, identifies over-provisioned and under-utilized resources, and....
Develop an Intelligent Security Scanning Pipeline
Build a comprehensive DevSecOps pipeline that integrates multiple security scanning tools (SonarQube, Trivy, Snyk, Checkov) with AI-powered vulnerability prioritization. The syst....
Create a Self-Service Infrastructure Portal with Backstage
Design and implement an Internal Developer Platform (IDP) using Backstage that provides self-service infrastructure provisioning, template-based application scaffolding, and AI-a....
Build an AI-Powered Log Analysis and Troubleshooting System
Develop an intelligent log analysis platform using ELK Stack and machine learning that automatically identifies patterns in application and infrastructure logs, correlates events....
Design a Container Image Security and Compliance Scanner
Create an automated container security solution that scans Docker images for vulnerabilities, malware, and compliance violations before deployment. Use AI to assess risk scores, ....
Develop a Multi-Region Disaster Recovery Automation System
Build an automated disaster recovery (DR) system for Kubernetes applications that uses Terraform and ArgoCD to maintain synchronized infrastructure across multiple regions. Imple....
Create an Infrastructure-as-Code Testing and Validation Framework
Develop a comprehensive testing framework for Terraform and Ansible code using Terratest, Molecule, and AI-powered test generation. The system automatically generates test scenar....
DevOps Certification in Calgary
Edureka provides the Advanced DevOps GenAI certification upon successful course completion. The certification is valid for lifetime with no renewal required.
Complete all 20 live modules, pass quizzes, finish hands-on DevOps assignments and complete the capstone project with CI/CD pipeline, GitOps deployment, and AI integration.
This certification validates expertise in CI/CD automation, Kubernetes orchestration, infrastructure as code (Terraform/Ansible), cloud platforms (AWS/Azure), GitOps, AIOps, and AI-powered DevOps workflows. It opens opportunities in DevOps Engineering, SRE, Platform Engineering, and Cloud Architecture roles across finance, healthcare, retail, and technology industries.
You can apply for multiple job roles which includes: DevOps Engineer, Site Reliability Engineer (SRE), Platform Engineer, Cloud DevOps Engineer, Kubernetes Administrator, Infrastructure Automation Engineer, DevSecOps Engineer, AIOps Engineer, CI/CD Engineer, Cloud Solutions Architect, and more.
The certification requires understanding CI/CD, containerization, Kubernetes, infrastructure as code, and cloud platforms. With structured learning across 20 modules, 80+ hours of hands-on practice with Docker, Jenkins, Terraform, and GitHub Copilot, plus expert guidance, it's achievable for dedicated learners.
Yes, you receive lifetime access to all course materials including 20 live module recordings, 5 self-paced modules, hands-on labs, project templates, and regular updates on DevOps tools and AI automation trends.
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The Certificate ID can be verified at www.edureka.co/verify to check the authenticity of this certificate
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Venkateswarlu ponnaAgile Test Lead (UAT)
★★★★☆
Edureka is Best Online training in throughout my career (11 years). I subscribed for DevOps and course is well organized and will get hands by just following PPT, Videos and Lab exercises (Before they launch any course they do lot of home work). Best thing about Edureka is when you stuck while doing Lab exercises just mail to support team, they will call and guide to solve it for sure. It has excellent trainers and support team with 24x7 support.
I got full value from Edureka's DevOps course. I had to come out of my comfort zone as I was expecting a lot theory but this had continuous Lab/practice by the trainer in all trending tools - GIT, GitHub, Jenkins, Docker, Puppet & Nagios. Trainer was very knowledgeable and helpful. High technical content/slides. Timing was great due to promotion offer for free self-paced Chef & Ansible & Jenkins-indepth modules. Sometimes had to ask trainer to slow down and some install commands were failing at times but these were were minor as I learned how to handle such issues. Am now all set to work/manage with confidence in a DevOps environment. Edureka had also called me prior to the training to capture my needs.
December 09, 2017
Gagan Maheshwari
★★★★★
Thanks a lot for your Android course. Right from the point of the start of the demo class, until the end of the complete course, the ride has been truly joyous and full of learning . I had no insight into Android development but with the help of your excellent instructor, I now stand a chance to explore wider into this. The webinars were truly awesome. Live Online sessions were highly interactive. The edureka! methodology for Online classes has changed the way I look at webinars now. Plus point is the knowledgeable course material. I am falling short of words describing the great experience of my Android training at edureka!. Thanks Team edureka!
December 09, 2017
P
Puneet Jhajj
★★★★★
I have done Spring Framework and Hadoop framework training from Edureka. I am very happy with the training and help they are providing.The sessions were very informative. The instructors are highly knowledgeable.They provide a set of videos from a previous session, so you can watch the course before you participate. This way you can get the most out of the course.Excellent Customer Service starting with signing up of the course. I really appreciate Edureka Support team. They are really doing a fantastic job. All my queries were answered properly and promptly.You get recording of the classes, presentations and labs in LMS. And good feature is you have lifetime access to LMS of course you have taken, so you can refer, revise any topic when you want.I can safely say Edureka is one of the best training company.
December 09, 2017
Raghava BeeragudemSenior Big Data Consultant at Clarity Solution Group
★★★★★
I have taken 3 courses (Hadoop development, Python and Spark) in last one year. It was an excellent learning experience, most of the instructors were very interactive and having extensive industry knowledge. The support team is highly professional, always ready to assist you and let you chose your classes based on your own availability.
The Learning Management System(LMS) is great. and good thing is that you would get Lifetime access to all the course that you have registered. Apart from courses and instructors, Edureka support is excellent as they provide quick resolution to any issues(example VM setup. cluster connectivity issues and etc) . If you are looking for Big Data related courses then Edureka is the right place.
There is a plethora of online training material available for Android; the reason I chose Edureka is the rare combination of great instructors, comprehensive course material . The course has a clear direction, which is perfect for efficiency-oriented professionals like us! What differentiates Edureka training from numerous other Android trainers is that they bring a lot of corporate experience on the table, and that is evident in their teaching techniques.
December 09, 2017
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Shyam VermaTech Lead for IMTS - Cloud & DevOps
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DevOps Training in Calgary FAQs
What are the key features of Advanced DevOps Certification Training with GenAI training?
AI-First approach with GitHub Copilot from Module 2, coverage of 35+ tools (Jenkins, Kubernetes, Docker, Terraform, ArgoCD, AWS, Azure), dedicated AIOps and AI Software Engineering modules, platform engineering with Backstage, GitOps workflows, 10+ industry projects, and comprehensive capstone with microservices deployment.
Why should I enroll in Advanced DevOps Certification Training with GenA training?
Master AI-powered DevOps automation with GitHub Copilot, Kubernetes, Terraform, ArgoCD, and AIOps platforms. Get hands-on experience with 20 comprehensive modules, 10+ industry projects, expert-led instruction, and lifetime access. Opens doors to high-demand DevOps Engineer, SRE, and Platform Engineer roles with competitive salaries across technology, finance, healthcare, and retail industries.
What are the objectives of Advanced DevOps Certification Training with GenA certification course?
Learn to design and deploy production-ready DevOps pipelines with AI automation using Jenkins, GitHub Actions, Docker, Kubernetes, Terraform, Ansible, and ArgoCD. Gain expertise in CI/CD, container orchestration, infrastructure as code, AWS/Azure cloud platforms, observability with Prometheus/Grafana, DevSecOps, GitOps, AIOps, and platform engineering with real-world projects and cost optimization (FinOps).
What is the role of a DevOps Engineer with AI expertise?
Design automated CI/CD pipelines, manage Kubernetes clusters, provision infrastructure with Terraform, use GitHub Copilot for code generation, implement AIOps for predictive monitoring, build self-service developer platforms, ensure DevSecOps practices, deploy with GitOps methodologies, and optimize cloud costs using AI-driven recommendations on AWS and Azure.
What if I miss a live Advanced DevOps Certification Training with GenAI class?
Access recorded sessions of all 20 live modules anytime. All hands-on Docker, Kubernetes, Jenkins, Terraform labs and demonstrations are available for review at your convenience.
What support is available after completing DevOps GenAI training?
Contact Edureka's support team for queries and access active community forums for DevOps best practices, networking, and ongoing help. Receive regular updates on new DevOps tools, Kubernetes features, and AI automation trends.
What skills will I acquire in Advanced DevOps Certification Training with GenA training?
Master CI/CD with Jenkins and GitHub Actions, Docker containerization, Kubernetes orchestration, Terraform and Ansible for infrastructure as code, AWS and Azure cloud platforms, GitOps with ArgoCD, monitoring with Prometheus and Grafana, DevSecOps, GitHub Copilot for AI-assisted coding, AIOps for intelligent operations, and platform engineering.
How does DevOps GenAI certification help career advancement?
DevOps GenAI certification provides specialized skills in CI/CD automation, Kubernetes, cloud platforms, and AI-powered DevOps. Opens doors to DevOps Engineer, SRE, and Platform Engineer roles with 20-40% salary increases. Demonstrates expertise in Jenkins, Terraform, ArgoCD, AIOps, and GitHub Copilot for faster career progression to senior and leadership positions.
What tools and technologies are covered in DevOps GenAI certification?
Can beginners with minimal DevOps experience take this course?
Yes, if you have basic software development, Linux, and programming fundamentals (Python/scripting). The course starts with DevOps fundamentals and progresses systematically through Docker, Kubernetes, CI/CD, and cloud platforms, making it accessible for those transitioning from development, system administration, or IT operations roles.
Is DevOps Engineering a good career choice in 2026?
Yes, DevOps Engineering is highly promising with exponential demand across all industries. DevOps Engineers with AI automation skills command salaries of $100K-$180K+ in the US. The role offers clear progression to Senior DevOps Engineer, SRE, Platform Engineer, DevOps Architect, and leadership positions with excellent job security.
What is the future of AI in DevOps and automation?
AI is revolutionizing DevOps through AIOps (predictive monitoring, automated incident response), GitHub Copilot for infrastructure code generation, intelligent testing, self-healing systems, and automated cost optimization. AI-powered DevOps enables faster deployment, improved reliability, reduced manual intervention, and significant efficiency gains across CI/CD pipelines, Kubernetes management, and cloud operations.
What industries hire DevOps professionals with AI skills?
Technology and SaaS companies, financial services and banking (BFSI), healthcare and life sciences, e-commerce and retail, telecommunications, media and entertainment, manufacturing, government and public sector, and startups building cloud-native applications with Kubernetes and microservices architectures.
When do I get access to Advanced DevOps Certification Training with GenA course content?
Immediate access after signup to course materials, pre-requisite resources, community forums, and environment setup guides. Live sessions start as per your selected batch schedule.
Is lifetime access included for course materials?
Yes, lifetime access to all 20 live module recordings, 5 self-paced modules (Service Mesh, Chaos Engineering, FinOps, Advanced Terraform, Career Development), lab environments, project templates, code repositories, infrastructure templates, and documentation with regular updates.
What is the difference between DevOps and Platform Engineering?
DevOps focuses on CI/CD pipelines, automation, and collaboration between development and operations. Platform Engineering builds Internal Developer Platforms (IDP) with self-service infrastructure, standardized workflows, and developer experience optimization. Module 20 covers platform engineering with Backstage, enabling you to pursue both DevOps and Platform Engineer career paths.
Have more questions?
Course counsellors are available 24x7
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