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Course Outline

Kubiya AI Introduction

  • Kubiya AI overview
  • Core features and benefits
  • DevOps use cases

Kubiya AI Setup

  • Installation and configuration
  • Environment setup
  • Initial setup and configuration

Fundamental 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

Practical Projects

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

Summary and Next Steps

Requirements

  • Familiarity with DevOps principles
  • Experience working with CI/CD pipelines
  • Basic knowledge of cloud infrastructure

Target Audience

  • DevOps professionals
  • IT managers
  • System administrators
 14 Hours

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