Home Applied AI (GenAI & Agentic AI) Gen AI for DevOps Engineer

Gen AI for DevOps Engineer

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With Generative AI for DevOps Engineer certification training one can boost their DevOps practice using Gen AI expertise. Learn about automation, real-time issue solutions, and next-generation deployment technologies.

  • 16 hours of live instructor-led training
  • Integrate Gen AI into DevOps workflows
  • Automate repetitive DevOps tasks with smart prompts
  • Master tools like GitHub Copilot, Jenkins, Docker
  • Real-world use cases and hands-on practice
  • Designed by industry experts for working professionals
  • Capstone project by the end of the training
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    Course Overview

    DevOps is already quick. Gen AI makes it quicker, smarter, and far less annoying. This course is your shortcut to combine AI and automation which allows you to spend more time in developing rather than fighting fires.

    Live seminars and practical labs will teach you how to build effective prompts, deploy Gen AI for debugging, testing, CI/CD, monitoring, and performance optimization like never before. This course prepares you for the future, whether you work in operations or as a software developer.

    Key Highlights

    Real-world use cases of Gen AI in DevOps toolchains

    Prompt engineering tailored for DevOps engineers

    Automating CI/CD pipelines, testing, and monitoring

    Implementing AI-assisted scripting and troubleshooting

    Security, ethics, and governance of AI in DevOps

    Gen AI for DevOps Engineer Course Content

    Download Syllabus
    Module 1 Introduction to AI and GenAI for DevOps
    • AI and Generative AI fundamentals
    • Evolution from traditional AI to GenAI
    • Role of GenAI in modern DevOps workflows
    • Hands-on: Generate Dockerfile & Jenkins pipeline with ChatGPT
    Module 2 AI-Augmented DevOps Principles
    • Recap DevOps principles (CI/CD, automation, collaboration)
    • Mapping GenAI tools across DevOps stages (Planning, Coding, Testing, Deployment, Monitoring)
    • AI-driven collaboration and ChatOps (Slack/GitHub Copilot)
    • Lab: CI/CD pipeline creation using GitHub Copilot and Google Bard
    Module 3 Integrating GenAI into DevOps Pipelines
    • AI integrations in pipelines (Jenkins, GitHub Actions)
    • GenAI use cases: code reviews, test case generation, automated config generation
    • Incident analysis automation using GenAI
    • Lab: Auto-generating release notes using Hugging Face API/ChatGPT
    Module 4 GenAI Tools and Platforms for DevOps Automation
    • Proprietary GenAI tools (ChatGPT, GitHub Copilot, Amazon CodeWhisperer)
    • Cloud-based AI (Google Duet AI, Azure OpenAI services)
    • Open-source GenAI models and frameworks (Hugging Face Transformers, Ollama)
    • Lab: Compare Kubernetes YAML generated by ChatGPT vs Copilot vs Open-source model
    Module 5 Business and Technical Impact of GenAI in DevOps
    • Accelerating software delivery and deployment with GenAI
    • Productivity and efficiency improvements
    • GenAI for quality assurance, monitoring, and incident reduction
    • Lab: Measure manual vs AI-assisted DevOps task efficiency
    Module 6 GenAI Transformation of DevOps Practices
    • Release orchestration and automated release management (GenAI-generated release notes & deployment plans)
    • Intelligent security scanning (automated vulnerability detection and fix suggestion)
    • AI-powered ChatOps and chatbot-driven DevOps operations
    • Lab: Implement DevOps chatbot using Slack integration and ChatGPT API
    Module 7 Advanced GenAI Techniques and Emerging Trends
    • Fine-tuning custom GenAI models for DevOps tasks (with Hugging Face)
    • Autonomous DevOps agents (AutoGPT, LangChain)
    • Reinforcement learning & continual optimization (RL for pipelines)
    • Lab: Fine-tune a simple open-source model on custom DevOps data/Q&A scenarios
    Module 8 Ethics, Governance, and Risks in GenAI for DevOps
    • Data privacy, security, and governance challenges in GenAI
    • Legal considerations: Intellectual property risks
    • Trust and validation: avoiding AI-generated errors and biases
    • Best practices and compliance frameworks (GDPR, IP management)
    • Lab: Case study analysis of GenAI misuse and governance policy development
    Module 9 Future Trends and Strategic Implications of GenAI in DevOps
    • Future of GenAI and fully automated DevOps (towards NoOps)
    • Pervasive AI integrations across DevOps platforms
    • AI-augmented decision-making and strategic planning
    • Skill evolution: Preparing DevOps engineers for an AI-driven future
    • Lab/Workshop: Design a hypothetical fully GenAI-driven DevOps pipeline (2030 vision)

    Schedules for Gen AI for DevOps Engineer

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      Gen AI for DevOps Engineer Exam Details

      Exam Details
      • No formal exam
      • Certification of Completion awarded by Agilefever
      Prerequisites
      • Practical experience in DevOps
      • Basic knowledge of automation, CI/CD, and related tools
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      Gen AI for DevOps Engineer is ideal for

      • DevOps Engineers
      • Site Reliability Engineers (SREs)
      • Automation Engineers
      • Cloud Engineers
      • Technical Leads managing CI/CD
      • Anyone involved in DevOps, Infra, or AI ops
      Enquire Now

      Companies that trust Us

      Happy learners and successful teams, that’s how we measure our impact. Here are just a few of the many who’ve trusted AgileFever.

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      Benefits That Set You Apart

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      Steps to Getting Certified

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      Journeys that keep Inspiring ✨ everyone at AglieFever

      This course helped me automate half my weekly tasks. Gen AI + DevOps is a game-changer. Thank you Agilefever!

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      Rakesh T

      Hands-on, straight to the point, and full of real-world use cases. Highly recommend this for any DevOps pro.

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      Meera P

      The instructors were solid. I now use AI tools daily at work, and my manager noticed the difference!

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      Daniel K

      Frequently Asked Questions

      1. Is this course live or self-paced?

      This course is live and instructor-led with real-time interaction and Q&A.

      2. Do I need to know AI or ML to take this course?

      Not at all! Basic DevOps knowledge is enough—we teach AI from the DevOps angle.

      3. What kind of hands-on activities are included?

      Real-world prompts, Gen AI tool usage, CI/CD integrations, and automation projects.

      4. Is there a test at the end of the course?

      No exam. Just attend, learn, practice, and complete the course.

      5. Will this course help me land a better job?

      Absolutely! Gen AI is one of the hottest skills right now in DevOps hiring.

      6. Can I showcase this certification on LinkedIn?

      Yes, and you should! It’ll stand out to recruiters and hiring managers.

      7. How do I get the certification?

      Just complete the course—it’s that simple. No separate test required.

      8. Is Agilefever’s certificate recognized?

      Yes, our training is recognized by professionals and organizations worldwide.

      9. Will there be projects or assignments?

      Yes, you’ll complete mini-projects that simulate real DevOps environments.

      10. Do I need a high-end system or cloud setup?

      A basic system with internet is enough. We guide you through cloud setup if needed.

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