DevOps Course with Certification Online – Gen AI Training
The DevOps Course with Certification Online – Gen AI Training is designed to equip you with the latest DevOps practices enhanced by the power of Generative AI. This program blends core DevOps principles—such as continuous integration, continuous delivery, automation, containerization, and cloud deployment—with Gen AI–driven tools and workflows that accelerate software development and operations.
5.0
By Namifly
Last updated: September 2025
$1399
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This course includes:
Hands-on experience
Learn DevOps with Gen AI
Boost Your Skills, Elevate Your Career!
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$499.00
Training + Examination
$899.00
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$1399.00
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Course Description
The DevOps Course with Certification Online – Gen AI Training is a future-focused program designed to help professionals master DevOps practices while leveraging the transformative power of Generative AI. Traditional DevOps emphasizes collaboration, automation, and efficiency across development and operations teams. With the integration of Gen AI, this course takes DevOps a step further by introducing intelligent automation, AI-driven insights, and productivity-enhancing tools that reshape how modern software systems are built and managed.
What You’ll Learn
This course provides both DevOps fundamentals and AI-driven enhancements to help you excel in today’s fast-paced tech environment:
Core DevOps Practices – CI/CD pipelines, automation, version control, infrastructure as code, and containerization with Docker & Kubernetes.
Monitoring & Security – Logging, observability, incident response, and integrating DevSecOps into workflows.
Cloud & Scalability – Deploying and scaling applications in AWS, Azure, or GCP environments.
Generative AI in DevOps – Using AI-powered tools to optimize pipelines, automate repetitive tasks, enhance testing, and predict system issues before they occur.
Collaboration & Productivity – Leveraging Gen AI assistants for documentation, code reviews, and streamlined communication between Dev and Ops teams.
Who Should Enroll?
Developers aiming to automate and modernize their workflows
Operations engineers seeking to master cloud-native DevOps practices
IT professionals and managers interested in AI-driven automation
Anyone preparing for a career in DevOps, Cloud, or AI-enabled software delivery
Why This Course Matters
The convergence of DevOps and Gen AI represents the next evolution in software engineering. By learning how to integrate AI into DevOps pipelines, you’ll not only gain the ability to deliver faster and more reliable applications but also future-proof your career in an industry where automation and intelligence are becoming standard.
Career Benefits
Gain a recognized certification in DevOps with Gen AI, showcasing your expertise to employers.
Build real-world skills through hands-on labs and projects.
Stand out in the job market with cutting-edge knowledge in AI-powered DevOps.
Prepare for roles such as DevOps Engineer, Cloud Engineer, SRE, AI/DevOps Specialist, and more.
Key Features :
- Learn DevOps with Gen AI
- 150+ Hours of live instructor-led training
- 100+ Hours of Practical Assignments
- Expert Career Services to Help You Land a Job
- Assured Minimum Package 5-25 LPA
- Dedicated Mentor for Instant Doubt Clarification
Course Curriculum
Expand the sections below to see the detailed curriculum for this course.
Principles of DevOps culture: collaboration, automation, continuous improvement.
Agile vs. DevOps – bridging the gap between development and operations.
Generative AI overview: What is it? Why it matters in DevOps.
Use cases: AI code generation, automated testing, log analysis, predictive monitoring.
Source code management with Git, GitHub/GitLab/Bitbucket.
Branching strategies for CI/CD pipelines.
Integrating AI-assisted version control
Setting up CI/CD pipelines with Jenkins, GitHub Actions, GitLab CI, or AWS CodePipeline.
Automated build, test, and deployment workflows.
GenAI angle: AI-assisted pipeline optimization
Docker & containerization fundamentals.
Kubernetes (K8s) orchestration for microservices.
Helm charts & Kubernetes Operators.
GenAI in orchestration: Auto-generating YAML manifests, anomaly detection in cluster performance.
Terraform and AWS CloudFormation for automated infrastructure provisioning.
Configuration management with Ansible/Chef/Puppet.
GenAI in IaC: Generating reusable Terraform/Ansible code snippets with AI.
Monitoring with Prometheus, Grafana, ELK/EFK stack.
Distributed tracing with Jaeger/OpenTelemetry.
AI Integration (AIOps):
Using AI/ML for anomaly detection.
Generating insights from logs automatically.
Predicting outages and system degradations.
Security integration into CI/CD workflows.
Vulnerability scanning with tools like Trivy, Aqua, Clair.
IAM & secrets management (Vault, AWS Secrets Manager).
Generative AI in Security:
Detecting misconfigurations using AI.
Auto-generating security/compliance policies.
AI-powered threat detection in logs/events.
AI-assisted coding with tools like GitHub Copilot, ChatGPT APIs.
Automating test case creation and unit test generation.
Intelligent incident response with AI-driven bots and runbooks.
Predictive scaling using AI/ML models.
DevOps in AWS, Azure, and GCP environments.
Automation with serverless platforms (AWS Lambda, Azure Functions).
AI Cloud Tools: Anthropic, AWS Bedrock, and OpenAI integration into DevOps workflows.
Building a full DevOps pipeline (code → build → test → deploy → monitor → secure).
Integrating Generative AI modules for:
Automated log analysis.
AI-assisted testing.
Self-healing infrastructure response.
Final assessment: Deploying and securing a GenAI-driven DevOps project.
Certification exam & project presentation.
Instructor information not available.
5.0
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Frequently Asked Questions
Find answers to common questions about this course.
This course is designed to teach you DevOps fundamentals (CI/CD, Containers, Kubernetes, IaC, Monitoring, Security) along with Generative AI (GenAI) applications in DevOps. You’ll learn how AI can automate repetitive tasks, optimize pipelines, predict failures, and improve security, making your DevOps practices smarter and faster.
This training is ideal for:
Software Developers, Cloud Engineers, System Admins, and DevOps Practitioners.
Security Professionals wanting to explore DevSecOps with AI.
IT Managers and Team Leaders seeking AI-driven automation strategies.
Anyone transitioning into DevOps or AIOps (AI for IT Operations).
Basic knowledge of software development or IT infrastructure is recommended.
Some understanding of cloud platforms (AWS/Azure/GCP) is helpful but not mandatory.
AI/ML background is not required—GenAI use cases are taught within the course from the ground up.
You’ll get hands-on training with:
Version Control & CI/CD: Git, GitHub, Jenkins, GitHub Actions.
Predictive monitoring (AI spotting unusual behavior before failure).
Intelligent incident response using AI chatbots and automated playbooks
Yes! Upon successful course completion and final project submission, you’ll receive a DevOps + GenAI Certification, recognized as proof of your expertise in next-gen DevOps with AI integration.
With DevOps + GenAI skills, you can apply for roles like:
DevOps Engineer (AI-enabled)
Cloud Automation Engineer
Site Reliability Engineer (SRE) with AI observability focus
AIOps Specialist
DevSecOps Engineer
Average course length: 8–12 weeks depending on pace.
Time commitment: ~6–8 hours per week (lectures + labs + project).
You’ll complete a real-world final project, such as:
Building a CI/CD pipeline integrating AI-assisted testing.
Deploying a containerized app on Kubernetes with AI-driven anomaly detection for monitoring.
Automating incident response with AI chatbots + AWS Lambda playbooks.
