Advanced DevOps Certification Training Course with Gen AI

Gain Advanced Hands-on DevOps and Gen AI Expertise with Live, Instructor-Led Online Classes

Accelerate your tech career with top-rated Advanced DevOps training and build skills for high-demand DevOps and cloud roles
Master essential DevOps skills and explore Generative AI through expert-led Live Virtual Classes
Learn from industry professionals and gain hands-on experience with real-world DevOps tools and Gen AI workflows
Attend Advanced DevOps with Generative AI Live Virtual Classes, from the comfort of your home
60 hours of practical, interactive online training, designed to boost your confidence and job-readiness
Join our popular Advanced DevOps with Generative AI course, live, career-focused, and competitively priced

Enroll now to build hands-on DevOps and Gen AI skills and prepare for top certifications with expert-led live online training.

Advanced DevOps Training Options

Live-Virtual Class

Attend from the Comfort of Your Home: Join our instructor-led live virtual classes delivered entirely online with no travel required.
60 Hours of Expert-Led Training: Gain deep knowledge through interactive sessions conducted by industry professionals on a live virtual platform.
Flexible Scheduling Options: Pick a schedule that suits you, either 20 sessions of 3 hours each or 15 sessions of 4 hours each.
Taught through real-world case studies and a capstone project, enabling hands-on implementation of CI/CD methodologies using leading DevOps tools.
Build Intelligent CI/CD Pipelines: Design, automate, and optimize scalable CI/CD workflows using modern DevOps tools, integrating AI to enhance monitoring, testing, and deployment efficiency.
Hands-On, Industry-Aligned Projects: Gain real-world experience by implementing containerized applications, automated infrastructure provisioning, GitOps deployments, and AI-enabled observability in production-like environments.
Lifetime Access to Learning Resources: Get unrestricted access to our Learning Management System (LMS), including class recordings, presentations, and course materials.
Certification on Course Completion: “DevOps Engineer” certification granted after successful completion of course requirements and the capstone project.
24x7 Lifetime Support: Access our dedicated support system anytime, even after completing the course

Date : Mar 14 - May 17 (Weekend)

Time : 09:00 AM to 12:00 PM (CST)

View Dates | View Timings

Early Bird Price

USD ~~699~~ 489

Early Bird Price

USD ~~699~~ 489

Mar 14Sat Mar 15Sun Mar 21Sat Mar 22Sun Mar 28Sat Mar 29Sun Apr 04Sat Apr 05Sun Apr 11Sat Apr 12Sun Apr 18Sat Apr 19Sun Apr 25Sat Apr 26Sun May 02Sat May 03Sun May 09Sat May 10Sun May 16Sat May 17Sun

Class Timings :

Class Date (UTC):	Saturday, 14th March 2026 - Sunday, 17th May 2026 03:00 PM - 06:00 PM (UTC)
Class Date (Local time):	Saturday, 14th March 2026 - Sunday, 17th May 2026 09:00 AM - 12:00 PM (CST)
Time zone:	(UTC -06:00) Central Standard Time

Advanced DevOps Certification Course Overview

The Advanced DevOps Training Program with Generative AI Certification Training

The Advanced DevOps Training Program with Generative AI is one of our popular and top-rated courses designed to help professionals master essential skills in modern DevOps practices enhanced with AI-driven automation. Delivered exclusively through Live Virtual Classes, this instructor-led program provides structured guidance, interactive learning, and hands-on implementation aligned with real industry environments.

This program emphasizes extensive hands-on learning through multiple real-world projects, practical demonstrations, and industry-focused use cases. Participants work with widely adopted DevOps tools such as Docker, Kubernetes, Terraform, Jenkins, GitHub Actions, and Prometheus, while building applied expertise in AI-driven DevOps automation, AIOps practices, and intelligent monitoring strategies used in modern enterprise environments.

This program covers the complete DevOps lifecycle, including continuous integration and delivery, containerization, Kubernetes orchestration, Infrastructure as Code using Terraform and Ansible, cloud deployment across AWS and Azure, GitOps workflows, AIOps practices, and AI-powered DevOps optimization. Learners work on real-world projects that simulate enterprise scenarios, enabling practical implementation of CI/CD pipelines, automated infrastructure provisioning, intelligent monitoring, and AI-assisted deployment strategies.

By combining DevOps expertise with Generative AI capabilities, this training helps professionals get in-demand skills required to build scalable, automated, and intelligent DevOps ecosystems.

Enroll now to accelerate your DevOps career with AI-powered automation and build production-ready expertise through live, expert-led training.

Course Outcomes

By the end of the Advanced DevOps Live Virtual Class program, you will be able to:

Design and implement automated CI/CD pipelines using leading DevOps tools
Deploy and manage containerized applications using Docker and Kubernetes
Implement Infrastructure as Code using Terraform and Ansible
Build and manage cloud-native environments on AWS and Azure
Apply GitOps methodologies for streamlined deployments
Integrate Generative AI and AIOps practices into DevOps workflows
Execute end-to-end DevOps implementation through real-world projects

What’ll You Learn

Continuous Integration and Continuous Delivery automation strategies
Containerization concepts and Kubernetes orchestration
Infrastructure automation and configuration management
Cloud architecture and deployment best practices
GitOps workflows and version-controlled deployments
Observability, monitoring, and AIOps fundamentals
AI-enabled automation for testing, monitoring, and release optimization
Capstone implementation of an enterprise-grade DevOps pipeline

Who Should Attend

DevOps Engineers and Cloud Engineers
System Administrators and IT Operations Professionals
Site Reliability Engineers
Software Developers transitioning into DevOps
Platform Engineers
Professionals seeking industry-recognized certifications in DevOps

Why Choose Our Course

Delivered exclusively through Live Virtual Classes for real-time expert interaction
Structured curriculum covering both DevOps fundamentals and Generative AI integration
Hands-on learning through real-world projects and production-like scenarios
Focus on building job-ready, practical DevOps expertise
Designed to help learners master essential skills aligned with industry requirements
One of our popular and top-rated courses trusted by working professionals

Career & Outcomes

Organizations across finance, healthcare, retail, technology, and e-commerce sectors are actively hiring professionals with DevOps and AI automation expertise. Completing this program prepares you for roles such as:

DevOps Engineer
Site Reliability Engineer
Platform Engineer
Cloud Architect
Automation Engineer

With growing adoption of cloud-native and AI-enhanced DevOps ecosystems, professionals with these skills continue to get in-demand opportunities across global markets.

Salary Insight

DevOps professionals with cloud and AI integration expertise command competitive compensation across industries. With experience in CI/CD automation, Kubernetes orchestration, Infrastructure as Code, and AI-driven optimization, professionals can expect strong salary growth in mid-level and senior DevOps roles. As enterprises accelerate digital transformation initiatives, demand for AI-powered DevOps specialists continues to rise.

The Next Steps

If you are looking to advance your DevOps career and combine automation expertise with Generative AI capabilities, this Live Virtual Class program provides the structured pathway you need. Through expert-led sessions, guided implementation, and real-world projects, you will build the confidence and technical depth required to succeed in modern DevOps environments.

Take the next step today. Enroll in the Advanced DevOps Training Program with Generative AI and transform your career with live, instructor-led learning designed to help you master essential skills and secure in-demand DevOps roles.

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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

Whether you're starting out or advancing your career, enroll today and gain the DevOps and Generative AI expertise that sets you apart

The Advanced DevOps Certification with Generative AI training prepares you for the evolving future of software development and IT operations. It equips you with hands-on expertise in CI/CD, infrastructure as code, cloud automation, and AI-driven DevOps practices, helping you build secure, scalable, and intelligent delivery pipelines that modern organizations require.

Key reasons why this certification is valuable:

Practical DevOps Experience: Work on real-world projects that simulate enterprise DevOps environments, including CI/CD pipeline creation, infrastructure automation, and production-level troubleshooting.
AI-Driven Automation Skills: Learn how to integrate AI into DevOps workflows for smarter code generation, automated testing, anomaly detection, and performance monitoring.
End-to-End Lifecycle Mastery: Gain exposure to the complete software delivery lifecycle using widely adopted tools such as Git, Jenkins, Docker, Kubernetes, Terraform, and Ansible.
Industry-Relevant Toolset and Practices: Stay aligned with current DevOps and AI trends by learning tools and methodologies used by leading technology organizations.
Career Advancement Opportunities: Strengthen your professional profile with in-demand DevOps and Generative AI skills that employers actively seek.

Whether you're starting your journey or advancing your expertise, join the program today and master future-ready DevOps skills.

Yes, the course includes extensive hands-on labs and practical exercises designed to reinforce real-world DevOps and Generative AI skills.

Learners receive detailed, step-by-step guidance through the Learning Management System to help them set up environments, configure DevOps tools, and integrate Generative AI capabilities into their workflows. The program provides access to cloud-based lab environments, allowing participants to practice with tools such as Docker, Kubernetes, Terraform, CI/CD pipelines, and AI-powered automation platforms without the need for complex local installations.

Additionally, dedicated support is available to assist learners with technical questions or challenges encountered during lab sessions, ensuring a smooth and uninterrupted learning experience.

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.

There are no mandatory prerequisites for taking the Advanced DevOps certification training. However, having the following knowledge will be beneficial:

Basic understanding of Linux/Unix commands
Familiarity with Git, scripting languages (Python, Bash, YAML)
Exposure to cloud platforms like AWS or Azure
Familiarity with CI/CD concepts, containers, and general IT operations will also be beneficial for deeper comprehension

No prior experience with AI tools is required; the course covers the basics of Generative AI in DevOps from the ground up.

Further, learners will be provided with self-learning refresher material on Linux, Git, and foundational DevOps concepts before beginning the live classes.

Advanced DevOps Certification Course 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

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

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

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

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

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

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

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

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

StatefulSets & DaemonSets
Persistent Volumes & Persistent Volume Claims
Storage Classes & Dynamic Provisioning
Ingress Controllers & Ingress Rules (NGINX, Traefik)
Horizontal & Vertical Pod Autoscaling
Resource Quotas & Limits
Multi-Tenancy & Namespaces
Helm: Package Manager for Kubernetes
Helm Charts: Structure & Best Practices
Kubernetes RBAC & Security

Introduction to Infrastructure as Code
Terraform Architecture & Workflow
HCL (HashiCorp Configuration Language)
Terraform Providers (AWS, Azure, GCP)
Resources, Variables & Outputs
Terraform State Management
Remote State & Backend Configuration
Terraform Modules & Reusability
Terraform Workspaces for Environments
Terraform Cloud & Enterprise

Introduction to Configuration Management
Ansible Architecture: Control Node, Managed Nodes
Ansible Installation & Configuration
Inventory Management (Static & Dynamic)
Ad-hoc Commands
Ansible Playbooks: YAML Syntax
Ansible Modules & Collections
Variables, Facts & Conditionals
Ansible Roles & Galaxy
Ansible Vault for Secrets
Ansible Tower/AWX

AWS Cloud Fundamentals for DevOps
AWS CodePipeline: Architecture & Setup
AWS CodeBuild: Build Automation
AWS CodeDeploy: Deployment Strategies
AWS CodeCommit & CodeArtifact
EC2, VPC, S3, RDS for DevOps
AWS ECS & EKS: Container Orchestration
AWS Lambda & Serverless DevOps
AWS CloudFormation for IaC
AWS CloudWatch: Monitoring & Logging
AWS Systems Manager & Parameter Store

Introduction to Azure DevOps Services
Azure Pipelines Architecture (Classic vs YAML)
Multi-Stage Pipelines & Templates
Azure Repos, Boards & Test Plans
Azure Kubernetes Service (AKS) Deep Dive
Azure Container Instances (ACI)
Azure Functions & Serverless
Azure Resource Manager (ARM) Templates & Bicep
Azure Monitor & Application Insights
Azure Key Vault Integration
GitHub Copilot for Azure DevOps

Monitoring vs Observability: Three Pillars (Metrics, Logs, Traces)
Prometheus: Architecture & Installation
Metrics Collection & PromQL
Grafana: Dashboards & Visualizations
ELK Stack: Elasticsearch, Logstash, Kibana
Loki for Log Aggregation
Application Performance Monitoring (APM)
Distributed Tracing with Jaeger/Zipkin
Alerting & Incident Management
SLIs, SLOs, SLAs & Error Budgets
OpenTelemetry Overview

Introduction to DevSecOps & Shift-Left Security
Static Application Security Testing (SAST)
Dynamic Application Security Testing (DAST)
Software Composition Analysis (SCA)
Container Security Scanning (Trivy, Clair)
Infrastructure Security: CIS Benchmarks
Secrets Management: HashiCorp Vault, Azure Key Vault
Policy as Code: OPA, Kyverno
Security in CI/CD Pipelines
Compliance as Code
AI-Powered Security Analysis

Introduction to GitOps Principles
GitOps vs Traditional DevOps
ArgoCD: Architecture & Installation
Flux CD: Setup & Configuration
Declarative Infrastructure with GitOps
Application Sets & Multi-Cluster Management
Progressive Delivery: Canary, Blue-Green
Argo Rollouts for Advanced Deployments
Feature Flags & A/B Testing
Rollback Strategies & Self-Healing
GitOps Best Practices & Security

Introduction to AIOps: Concepts & Benefits
AIOps Platforms Overview (Dynatrace, Datadog, Splunk)
Machine Learning for IT Operations
Anomaly Detection in Monitoring
Predictive Analytics for System Failures
AI-Powered Log Analysis & Pattern Recognition
Intelligent Alerting & Noise Reduction
Root Cause Analysis with AI
Automated Incident Triage & Response
Capacity Planning with ML
AIOps Integration with Existing Tools

AI in Software Engineering: Overview & Trends
AI Coding Assistants: Copilot, CodeWhisperer, Tabnine
AI-Powered Code Review & Analysis
Automated Test Generation with AI
AI for Code Refactoring & Optimization
Natural Language to Code Conversion
AI-Powered Documentation Generation
Code Security Analysis with AI
AI for Bug Detection & Resolution
ChatOps & Conversational AI for DevOps
Building AI-Enhanced CI/CD Pipelines

Generative AI in DevOps: Advanced Use Cases
LLMs for Infrastructure Code Generation
AI Agents for DevOps Automation
Custom GPT/Claude for DevOps Tasks
Platform Engineering & Internal Developer Platforms (IDP)
Self-Service Infrastructure Portals (Backstage)
FinOps: AI-Driven Cost Optimization
Emerging Trends: WebAssembly, eBPF, Service Mesh
Building AI-Native DevOps Culture

Kubernetes Operators: Concepts & Use Cases
Custom Resource Definitions (CRDs)
Building Custom Operators with Operator SDK
Service Mesh Introduction: Why Service Mesh?
Istio Architecture: Control Plane & Data Plane
Istio Installation & Configuration
Traffic Management: Virtual Services, Destination Rules
mTLS & Security Policies
Observability with Istio: Kiali, Jaeger Integration
Linkerd Overview & Comparison
Multi-Cluster Service Mesh
Service Mesh Best Practices

Introduction to Chaos Engineering
Chaos Engineering Principles & Practices
Chaos Monkey & Netflix Simian Army
Chaos Toolkit & LitmusChaos
Gremlin for Enterprise Chaos
Designing Chaos Experiments
Site Reliability Engineering (SRE) Fundamentals
SRE vs DevOps: Complementary Practices
Service Level Indicators (SLIs)
Service Level Objectives (SLOs)
Error Budgets & Budget Policies
Incident Management & Postmortems
Toil Reduction Strategies
On-Call Best Practices

Advanced Terraform Patterns & Anti-Patterns
Terraform Functions & Expressions
Dynamic Blocks & For Each
Terragrunt: DRY Infrastructure Code
Terragrunt Configuration & Best Practices
Multi-Cloud Infrastructure Management
Terraform Cloud & Enterprise Features
Sentinel Policy as Code
Writing Sentinel Policies
Infrastructure Testing with Terratest
Terraform Import & State Surgery
Terraform CDK (CDKTF) Introduction
Pulumi Overview & Comparison
Cost Estimation with Infracost

Introduction to FinOps: Framework & Principles
FinOps Lifecycle: Inform, Optimize, Operate
Cloud Cost Fundamentals: Pricing Models
Reserved Instances & Savings Plans
Spot/Preemptible Instances Strategies
AWS Cost Explorer & Cost Anomaly Detection
Azure Cost Management & Budgets
Kubecost for Kubernetes Cost Management
Right-sizing Resources
Idle Resource Detection & Cleanup
Tagging Strategies for Cost Allocation
Showback & Chargeback Models
AI-Powered Cost Optimization
Cost Governance & Policies
Building FinOps Culture

Advanced DevOps Certification & Exam

To earn the DevOps Engineer certification, learners must attend all instructor-led virtual sessions, successfully complete course assessments, finish hands-on DevOps assignments, and deliver a comprehensive capstone project. The capstone includes designing and automating a CI/CD pipeline, implementing GitOps-based deployments, and incorporating AI-driven enhancements into the DevOps lifecycle.

This certification validates proficiency in continuous integration and delivery automation, Kubernetes orchestration, infrastructure as code using tools such as Terraform and Ansible, and cloud platforms including AWS and Azure. It also demonstrates working knowledge of GitOps practices, AIOps principles, and AI-enabled DevOps workflows.

Why choose our Advanced DevOps Certification?

Most Popular

Preferred by professionals preparing for the DevOps Engineer certification.

Convenient Schedule

We offer flexible scheduling options, including both weekday and weekend classes to suit the needs of working professionals.

Low Cost

Without compromising on quality, we have priced our DevOps certification training courses very competitively. We guarantee that you will find us more economical than any other training provider.

Unmatched Quality

We, along with our affiliate partners, are dedicated to creating high-quality study materials and delivering an exceptional learner experience. All content adheres to strict quality standards to ensure accuracy and reliability.

Course Design

Backed by years of experience in professional training, our courses are designed not only to help you prepare to be a DevOps Engineer, but also to equip you with real-world best practices.

Trainers

All our trainers are certified professionals with deep expertise in various industry-standard frameworks. They bring over a decade of experience in both consulting and training, and are passionate about sharing their knowledge to help professionals advance their careers.

Never miss a class

If you miss a session for any reason, you can either attend the same session in another live batch (subject to availability) or watch the recorded session in the LMS at your convenience.

Lifetime Access

Enjoy lifetime access to our Learning Management System (LMS), where you can revisit class recordings and presentations anytime online.

Customer Satisfaction

We’re here 24/7 to ensure you’re heard and supported, no matter what questions or doubts you may have. Our team is committed to delivering exceptional customer service to every individual and organization we serve.

Advanced DevOps Training Frequently Asked Questions

The Advanced DevOps Certification with Generative AI course is designed to help you master modern DevOps practices while integrating Generative AI into real-world software delivery workflows.

The program covers the complete DevOps lifecycle, including version control, continuous integration, continuous delivery, containerization, Kubernetes orchestration, Infrastructure as Code, cloud deployments, GitOps practices, monitoring, and AIOps. In addition, it introduces how Generative AI can be applied to automate scripting, optimize CI/CD pipelines, enhance testing, improve observability, and accelerate incident response.

Through hands-on projects and practical implementations, you will gain experience building scalable, cloud-native DevOps environments and intelligent automation pipelines aligned with current industry demands.

By the end of the course, you will be equipped with in-demand DevOps and AI-driven automation skills required to design, deploy, and manage production-ready systems.

Take the next step in your DevOps career. Enroll now to master advanced DevOps practices with Generative AI and become job-ready for modern cloud and automation roles.

Upon completing the Advanced DevOps certification with Generative AI training, you’ll be equipped to pursue roles such as:

DevOps Engineer
Site Reliability Engineer (SRE)
Cloud Infrastructure Engineer
DevOps Automation Specialist
AI-Enabled DevOps Consultant

These roles are in high demand across organizations adopting cloud-native architectures and automated DevOps practices enhanced by AI.

You will develop the following skills through this DevOps Engineer certification course with Generative AI training:

CI/CD Pipeline Design & Automation: Build, optimize, and manage scalable continuous integration and delivery workflows.
Containerization & Orchestration: Deploy and manage applications using Docker and Kubernetes.
Infrastructure as Code (IaC): Automate infrastructure provisioning and configuration with Terraform and Ansible.
Cloud DevOps Practices: Design and manage cloud-native deployments on AWS and Azure.
GitOps & Version Control: Implement automated, declarative deployment strategies using Git-based workflows.
Monitoring, Logging & AIOps: Strengthen observability with intelligent monitoring and AI-driven insights.
Generative AI in DevOps: Use AI to enhance code quality, automate testing, optimize deployments, and improve incident response.
Hands-On Project Experience: Apply your knowledge through real-world, production-oriented DevOps scenarios.

By the end of the course, you will be able to confidently design, automate, and manage intelligent, production-ready DevOps pipelines in enterprise environments.

Ready to become a job-ready DevOps Engineer? Enroll now to master in-demand DevOps and Generative AI skills and accelerate your career in modern cloud and automation roles.

Generative AI is integrated into this DevOps certification course to enhance productivity, automation, and intelligent decision-making across the DevOps lifecycle. As covered in the program, you will learn how to:

Leverage AI for Code & Script Generation: Use Generative AI tools to create configuration files, pipeline scripts, and infrastructure templates more efficiently.
Enhance CI/CD Pipelines with AI: Improve build and deployment workflows through AI-assisted optimization, error detection, and automation.
Automate Testing with AI: Generate test cases, improve test coverage, and streamline validation processes.
Support Infrastructure as Code (IaC): Accelerate Terraform and Ansible template creation with AI-driven recommendations.
Implement AI-Powered Monitoring (AIOps): Analyze logs and metrics intelligently to detect anomalies and predict potential failures.
Accelerate Incident Management: Use AI to summarize logs, identify root causes, and recommend remediation steps.
Automate Documentation & Knowledge Sharing: Generate runbooks, deployment documentation, and technical summaries automatically.

By embedding Generative AI into core DevOps practices, the course enables you to build faster, smarter, and more resilient DevOps pipelines aligned with modern industry needs.

Yes, we do offer additional discounts to group and corporate training customers. Please email us at [email protected] to find out more about our group discount offerings.

Use the "Submit your query"section in this page or check "Contact Us" section. Alternatively, please send an email to [email protected] to find out more about our course offerings.

If you're unemployed right now, or you're a student taking this course for career growth, we do provide additional discounts for you on selected courses. Please email [email protected] to avail this benefit and discount coupon.

Note: These discounts are available on selected courses only.

We do not offer placement or placement assistance services at this time. However, our training is designed to equip you with in-demand skills, hands-on experience, and certification readiness to help you confidently pursue new career opportunities. Many of our learners have successfully transitioned into new roles or advanced in their careers based on the knowledge and certifications gained through our programs

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Advanced DevOps Training Options

Advanced DevOps Certification Course Overview

Who should take this Advanced DevOps Certification Training with GenAI course?

Why is it important to attend the Advanced DevOps certification with Generative AI course?

Will this Advanced DevOps Certification with Generative AI course include hands-on labs and practical exercises? How are they conducted?

What are the system requirements for this Advanced DevOps certification with Generative AI course?

What are the prerequisites for taking this Advanced DevOps certification with Generative AI course?

Advanced DevOps Certification Course Topics

DevOps Fundamentals, Culture, and AI Transformation

GitHub Copilot & AI-Assisted Development

Version Control with Git & GitHub

CI/CD Fundamentals & Pipeline Design

Jenkins CI/CD Implementation

GitHub Actions & Modern CI/CD

Docker Fundamentals & Best Practices

Docker Advanced, Compose & Registry

Kubernetes Fundamentals

Kubernetes Advanced & Helm

Terraform for Infrastructure Automation

Ansible for Configuration Management

AWS DevOps Services & Implementation

Azure DevOps & Cloud Integration

Monitoring, Logging & Observability

DevSecOps & Security Automation

GitOps & Progressive Delivery

AIOps: Intelligent IT Operations

AI-Powered Software Engineering

GenAI for DevOps and Platform Engineering

Advanced Kubernetes Operations & Service Mesh

Chaos Engineering & Site Reliability Engineering (SRE)

Advanced Terraform & Multi-Cloud IaC

Cloud Cost Optimization & FinOps

Advanced DevOps Certification & Exam

Why choose our Advanced DevOps Certification?

Most Popular

Convenient Schedule

Low Cost

Unmatched Quality

Course Design

Trainers

Never miss a class

Lifetime Access

Customer Satisfaction

Advanced DevOps Training Frequently Asked Questions

What is the Advanced DevOps certification with Generative AI course about?

What job roles can you get after completing the DevOps Engineer certification course with Generative AI training?

What skills will you develop through this Advanced DevOps certification with Generative AI training?

How is Generative AI used in DevOps as part of this DevOps certification course?

Do you provide any group or corporate discounts for this training/course?

Whom do I contact to know more about the training program?

Do you provide discounts to unemployed individuals or students?

Do you provide placements or placement assistance after the course?

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