DevOps Engineer Certification Training | Instructor-led Live Online DevOps Course

DevOps Certification Training Course with Gen AI

Gain Practical DevOps and Gen AI Expertise with Live, Instructor-Led Online Classes

Accelerate your tech career with top-rated 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 DevOps with Generative AI – Live Virtual Classes, from the comfort of your home
36 hours of practical, interactive online training — designed to boost your confidence and job-readiness
Join our popular 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.

DevOps Certification Course Overview

The DevOps Training Program with Generative AI is designed to equip learners with the skills and knowledge required to master AI-integrated DevOps practices across the entire software delivery lifecycle. Through a blend of theoretical learning and practical application, participants gain hands-on experience in building intelligent, automated, and secure DevOps pipelines. What sets this program apart is its focus on integrating artificial intelligence to enhance key DevOps processes—such as code generation, automated testing, and performance analytics.

This in-depth course covers essential tools and technologies including Git for version control, Jenkins for continuous integration, Terraform for infrastructure as code, Ansible for configuration management, Docker and Kubernetes for containerization and orchestration, as well as robust monitoring solutions.

By the end of the course, learners will have built real-world, scalable CI/CD pipelines enhanced with AI capabilities, positioning them to lead in modern, future-ready DevOps environments. Whether you’re looking to upskill or transition into an advanced DevOps role, this program provides the comprehensive, practical training needed to stay ahead in today’s tech-driven landscape.

Following are the DevOps Skills that you gain as part of the DevOps training with Generative AI course:

Git & GitHub Management
AI-Driven CI Automation
Infrastructure Provisioning
Container Deployment & Orchestration
DevOps Monitoring & Log Analysis
DevOps Security & Compliance

Ready to build job-ready DevOps and Generative AI skills?

Join our live, instructor-led training and gain hands-on experience with real-world tools, workflows, and Gen AI applications. Designed for professionals and beginners alike, this course helps you confidently step into high-demand tech roles. Enroll now to accelerate your career with expert-led Live Virtual Classes.

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As modern software delivery demands speed and intelligence, DevOps Engineers with AI skills are highly sought after. DevOps practitioners are among the highest paid IT professionals today. With the market demand for skilled DevOps Engineers growing rapidly, DevOps certification has become one of most sought-after IT certifications today. The DevOps certification with Generative AI training is ideal for:

DevOps Engineers
Software Developers
System Administrators
Cloud Architects
IT professionals aiming to build intelligent, automated, and secure DevOps pipelines using modern tools and AI.
Those looking to upskill in CI/CD, IaC, container orchestration, and AI-driven automation

The DevOps certification with Generative AI training equips you with the critical skills required for the future of software delivery. You’ll gain hands-on experience in CI/CD, infrastructure as code, and AI-driven automation—enabling you to build intelligent, secure, and scalable pipelines. These are exactly the capabilities that top employers are seeking in modern DevOps professionals.

Here are a few key reasons why this certification training is a valuable investment in your career:

Hands-On DevOps Training with Real-World Projects: Get practical, job-ready skills through immersive training that replicates enterprise DevOps environments. You'll build and manage CI/CD pipelines, automate infrastructure, and troubleshoot production-like scenarios to prepare for real-world challenges.
Integration of AI in DevOps Pipelines: Learn to incorporate AI into your DevOps workflows to enable smarter automation. Apply AI tools for code generation, testing, anomaly detection, and performance analytics—reducing manual effort, enhancing security, and accelerating delivery. You’ll transform raw code and infrastructure into resilient, intelligent systems.
Full Software Delivery Lifecycle Coverage: Master every phase of the software delivery process—from version control and build automation to deployment, monitoring, and scaling. Use widely adopted tools like Git, Jenkins, Docker, Kubernetes, Terraform, and Ansible in real-world scenarios.
Aligned with the Latest Industry Practices and Toolsets: Stay up to date by learning the latest in DevOps and AI trends. This program is continually updated to reflect current industry standards and best practices—ensuring you train with the tools and techniques trusted by top tech companies.

Yes — the DevOps Certification with Generative AI training includes extensive hands-on labs and practical exercises delivered through a secure, cloud-based lab environment.

Your Cloud Lab Access Includes:

Preconfigured infrastructure with popular DevOps tools like Git, Jenkins, Docker, Kubernetes, Terraform, Ansible, and more
A ready-to-use environment to practice real-world CI/CD pipelines and AI-integrated workflows
Single Sign-On (SSO) access for seamless navigation
Guided exercises to help you apply skills in infrastructure automation, container orchestration, and performance monitoring

These labs are designed to help you apply what you learn in a practical setting, so you build confidence and real-world project experience alongside theory.

Since this is a live online course delivered via a web-conferencing platform, you can join from anywhere and interact directly with the instructor in real time. All you need is a standard computer with a headset or speakers and a stable internet connection.

For practical sessions, there's no need to worry about system setup or compatibility. You’ll work on a Cloud Lab — a secure, pre-configured environment that comes with all the necessary DevOps tools and services required for this Generative AI-powered training.

There are no mandatory prerequisites for taking the 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.

DevOps Certification Course Topics

Evolution of software development methodologies
DevOps culture and organizational impact
Core DevOps principles: collaboration, automation, measurement, sharing
Key DevOps practices and lifecycle
DevOps reference architectures and implementation strategies
Overview of CI/CD pipelines
Value stream mapping and process optimization
Introduction to DevOps toolchain
AI-driven automation concepts in DevOps (e.g., predictive analytics for bottleneck identification)
Industry case studies of successful DevOps transformations

Git architecture and core concepts
Repository management and Git commands
Branching strategies: GitFlow, GitHub Flow, Trunk-based development
Pull requests and code review processes
Merge conflict resolution techniques
Git hooks for automation
GitHub Actions introduction
AI-powered code review with GitHub Copilot
Repository security best practices

Jenkins architecture and components
Jenkins installation and configuration
Pipeline as Code with Jenkinsfile
Jenkins plugins ecosystem
Parameterized builds and triggers
Automated testing and static code analysis
Pipeline optimization techniques
Jenkins security and credentials management
Multi-branch and pipeline visualization
AI-driven test selection and deployment risk analysis

IaC concepts and benefits
Terraform basics: HCL, providers, state management
AWS CloudFormation fundamentals
State management in Terraform
Modules, variables, and outputs
Security in IaC: secrets management and policy enforcement
Testing infrastructure code
AI-assisted code generation using HashiCorp Waypoint AI and Tabnine
Anomaly detection in infrastructure metrics
Resource cost prediction and optimization using ML models (e.g., AWS Forecast)

Configuration management concepts and tools
Ansible architecture and components
YAML syntax for Ansible
Playbooks, roles, and inventories
Variables, templates, and conditionals
Ansible Vault for secrets
Error handling and idempotency
Ansible integration with CI/CD tools
AI-assisted playbook generation using tools like GitHub Copilot, Tabnine, or CodeWhisperer
Natural Language to YAML: Prompt-to-playbook using LLMs (e.g., OpenAI, Codex)
Self-healing scripts with AI triggers and remediation logic

Container concepts and Docker architecture
Dockerfile syntax and best practices
Image layering and optimization
Docker networking models
Volume management and data persistence
Docker Compose for multi-container apps
Container registries and image scanning
Runtime security and resource limits
AI-based image scanning (e.g., Trivy) for security vulnerabilities
AI-based Dockerfile generation using tools like GitHub Copilot, Tabnine, or Codex

Kubernetes architecture and core components
Pods, ReplicaSets, Deployments, and DaemonSets
Kubernetes Services: ClusterIP, NodePort, LoadBalancer
ConfigMaps, Secrets, and Environment Configuration
Namespaces and RBAC for multi-tenancy and security
Kubernetes CLI (kubectl) for cluster management
Pod lifecycle management and scaling strategies
Rolling updates, rollbacks, and deployment strategies
AI-assisted Deployment Strategies
Using AI to Analyze Pod Health and Recommend Restarts or Scaling

Labels, Selectors, Annotations, and Service Discovery
Types of Services: ClusterIP, NodePort, LoadBalancer, Headless
Persistent Volumes (PVs), Persistent Volume Claims (PVCs), Storage Classes
Ephemeral vs. Projected Volumes and Access Modes
StatefulSets for stateful workloads
Helm: Kubernetes package manager and Helm Charts
Prometheus setup and metrics scraping for Pods, Nodes, and Deployments
Grafana dashboards for monitoring Kubernetes environments
Alerting with Grafana and using Prometheus exporters
Security best practices and Pod Security Policies

Monitoring principles and the four golden signals
Prometheus architecture and data model
Prometheus setup and PromQL queries
Grafana dashboard creation
ELK Stack components (Elasticsearch, Logstash, Kibana)
Log aggregation strategies
Alerting and notification configuration
SLIs, SLOs, and SLAs
Performance analysis techniques
Distributed tracing concepts

Security as Code concept
DevSecOps principles and implementation approaches
Static Application Security Testing (SAST)
Dynamic Application Security Testing (DAST)
Software composition analysis (SCA)
Container and infrastructure security scanning
Secrets management (HashiCorp Vault, AWS Secrets Manager)
Security policy as code (OPA, Kyverno)
Compliance as Code
Security monitoring and intrusion detection
Incident response and audit trails

Gen AI concepts: LLMs, transformers, and diffusion models
AI coding assistants (GitHub Copilot, Amazon CodeWhisperer)
Prompt engineering for infrastructure and automation scripts
AI for automated documentation and test generation
Ethical considerations and AI governance in DevOps

Use Git/GitHub for version control and collaboration
Build a Jenkins pipeline integrating Terraform, Ansible, Docker, and Kubernetes
Incorporate AI tools for code generation, testing, and monitoring
Implement security gates and automated compliance checks
Deploy a containerized application with monitoring and alerting

DevOps Certification & Exam

To be awarded the certification, you must attend all live sessions, complete the course modules, and successfully finish all quizzes, hands-on projects, and lab exercises. You’ll also need to submit a final project, which must be reviewed and approved by our expert panel. Once your project is approved, you will be awarded a certificate by us certifying you as a DevOps Engineer, showcasing your skills in Generative AI-powered DevOps automation.

This certification validates your ability to implement real-world DevOps practices—including CI/CD, containerization, infrastructure as code, and AI-driven workflow enhancements—making it a strong asset for career growth in modern cloud and DevOps roles.

Why choose our 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.

DevOps Training Frequently Asked Questions

Yes, we do offer additional discounts to group and corporate training customers. Please email us at support@encertify.com to find out more about our group discount offerings.

The DevOps Certification with Generative AI Training is a live instructor-led virtual training program that helps you gain expertise in modern DevOps tools and practices such as CI/CD, infrastructure provisioning, container orchestration, and monitoring. It also integrates the use of Generative AI tools to automate and enhance DevOps workflows.

The course is delivered exclusively via Live Virtual Classroom (LVC) sessions, allowing real-time interaction with instructors and hands-on project guidance.

Upon completing the 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.

The DevOps certification with Generative AI training helps you build expertise in the following six core areas:

Git & GitHub Management – Source control workflows, branching, collaboration
AI-Driven CI Automation – Using tools like GitHub Copilot, AWS CodeWhisperer for pipeline automation
Infrastructure Provisioning – Automating cloud infrastructure using Terraform and Ansible
Container Deployment & Orchestration – Managing Docker containers and Kubernetes clusters
DevOps Monitoring & Log Analysis – Using ELK Stack, Prometheus, and Grafana
DevOps Security & Compliance – Integrating security into DevOps pipelines (DevSecOps practices)

The training demonstrates real-world applications of AI in DevOps, including:

Generating automation scripts and YAML files using LLMs
AI-assisted testing and deployment planning
Auto-documenting pipelines and workflows
Prompt engineering for tool integration
Using tools like GitHub Copilot, AWS CodeWhisperer, and ChatGPT to optimize DevOps processes

Use the "Submit your query"section in this page or check "Contact Us" section. Alternatively, please send an email to support@encertify.com 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 support@encertify.com 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