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Course Outline

Introduction to Kubiya AI

  • Overview of Kubiya AI
  • Key features and advantages
  • Application scenarios in DevOps

Setting Up Kubiya AI

  • Installation and configuration
  • Environment preparation
  • Initial setup procedures

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)
  • Utilising Kubiya AI with container orchestration tools (Kubernetes, Docker)

Advanced Configurations and Customisations

  • Advanced workflow automation
  • Tailoring Kubiya AI to specific requirements
  • Security and compliance considerations

Hands-on Projects

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

Summary and Next Steps

Requirements

  • A solid grasp of DevOps principles
  • Experience working with CI/CD pipelines
  • Foundational knowledge of cloud infrastructure

Audience

  • DevOps professionals
  • IT managers
  • System administrators
 14 Hours

Custom Corporate Training

Training solutions designed exclusively for businesses.

  • Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
  • Flexible Schedule: Dates and times adapted to your team's agenda.
  • Format: Online (live), In-company (at your offices), or Hybrid.
Investment

Price per private group, online live training, starting from 2600 € + VAT*

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