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

Requirements

  • An understanding of DevOps principles
  • Experience with CI/CD pipelines
  • Basic knowledge of cloud infrastructure

Audience

  • DevOps professionals
  • IT managers
  • System administrators
 14 Hours

Delivery Options

Private Group Training

Our identity is rooted in delivering exactly what our clients need.

  • Pre-course call with your trainer
  • Customisation of the learning experience to achieve your goals -
    • Bespoke outlines
    • Practical hands-on exercises containing data / scenarios recognisable to the learners
  • Training scheduled on a date of your choice
  • Delivered online, onsite/classroom or hybrid by experts sharing real world experience

Private Group Prices RRP from €4560 online delivery, based on a group of 2 delegates, €1440 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.

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Public Training

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