Course Code: kubiyaai
Duration: 14 hours
Prerequisites:
  • An understanding of DevOps principles
  • Experience with CI/CD pipelines
  • Basic knowledge of cloud infrastructure

Audience

  • DevOps professionals
  • IT managers
  • System administrators
Overview:

Kubiya AI is an advanced AI platform designed to enhance DevOps workflows through intelligent automation and integration.

This instructor-led, live training (online or onsite) is aimed at beginner-level DevOps professionals and IT managers who wish to explore the capabilities of Kubiya AI and integrate it with their existing tools.

By the end of this training, participants will be able to:

  • Understand the features and benefits of Kubiya AI.
  • Set up and configure Kubiya AI in their environment.
  • Implement basic use cases for Kubiya AI in DevOps.
  • Integrate Kubiya AI with existing DevOps tools.

Format of the Course

  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.
Course Outline:

Introduction to Kubiya AI

  • Overview of Kubiya AI
  • Key features and benefits
  • Use cases in DevOps

Setting Up Kubiya AI

  • Installation and configuration
  • Setting up the environment
  • Initial setup and configuration

Basic Use Cases and Applications

  • Automating routine tasks
  • Monitoring and alerting with Kubiya AI
  • Enhancing CI/CD pipelines

Integrating Kubiya AI with Existing DevOps Tools

  • Integration with CI/CD tools (Jenkins, GitLab CI, etc.)
  • Connecting with cloud platforms (AWS, Azure, GCP)
  • Using Kubiya AI with container orchestration tools (Kubernetes, Docker)

Advanced Configurations and Customizations

  • Advanced workflow automation
  • Customizing Kubiya AI for specific needs
  • Security and compliance considerations

Hands-on Projects

  • Real-world project setup
  • Practical implementation and testing
  • Troubleshooting and optimization

Summary and Next Steps

Sites Published:

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