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DevOps Certification Training Course with Gen AI

4.4 (33100 ratings) 83895 learners [Rate this training]

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

DevOps Training Options

Live-Virtual Class
  • Attend DevOps certification training with Generative AI from the comfort of your home with a computer
  • 36 Hours of Live classes taught by experts over online training platform
  • Classes are taught in 12 sessions of 3 hours each or 18 sessions of 2 hours each
  • Taught using real life case studies and live project based on any of the selected use cases, involving implementation of CI/CD Methodologies using various DevOps Tools
  • Lifetime access to Learning Management System (LMS) where presentations, quizzes, installation guide & class recordings are available
  • In case you miss a session, you can either attend the missed session in any other live batch or view the recorded session in the LMS
  • ā€œDevOps Engineerā€ certification based on the project completed during the training
  • Access to community forums for peer interaction and knowledge sharing
  • 24x7 support for lifetime through ticket based support system
Date : Dec 13 Jan 18 (Weekend)
Time : 08:30 PM to 11:30 PM (IST)

Early Bird Price

USD 549 389
Dec 13Sat Dec 14Sun Dec 20Sat Dec 21Sun Dec 27Sat Dec 28Sun Jan 03Sat Jan 04Sun Jan 10Sat Jan 11Sun Jan 17Sat Jan 18Sun
Class Timings :
Class Date (UTC): Saturday, 13th December 2025 - Sunday, 18th January 2026
03:00 PM - 06:00 PM
(UTC)
Class Date (Local time): Saturday, 13th December 2025 - Sunday, 18th January 2026
08:30 PM - 11:30 PM (IST)
Time zone: (UTC 05:30) India Standard Time

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:

  1. 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.
  2. 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.
  3. Full Software Delivery Lifecycle Coverageā€‹: 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.
  4. 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 throughĀ ourĀ programs

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