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 Duration 14 hours

Course Outline

Introductory Overview of Kubiya AI

  • General overview of the Kubiya AI platform
  • Primary features and associated benefits
  • Practical applications within DevOps

Deployment and Setup of Kubiya AI

  • Installation processes and configuration details
  • Establishing the necessary environment
  • Initial setup and configuration steps

Fundamental Use Cases and Applications

  • Automating repetitive and routine tasks
  • Leveraging Kubiya AI for monitoring and alerting
  • Optimizing CI/CD pipelines

Connecting Kubiya AI to Current DevOps Tools

  • Integration with CI/CD tools (such as Jenkins, GitLab CI, etc.)
  • Linkage with major cloud platforms (AWS, Azure, GCP)
  • Utilizing Kubiya AI alongside container orchestration tools (Kubernetes, Docker)

Sophisticated Configurations and Personalizations

  • Advanced levels of workflow automation
  • Tailoring Kubiya AI to meet specific organizational needs
  • Addressing security and compliance requirements

Practical, Hands-On Projects

  • Setting up realistic, real-world projects
  • Executing practical implementation and testing phases
  • Identifying issues and optimizing performance

Recap and Future Directions

Requirements

  • A solid grasp of DevOps principles
  • Familiarity with CI/CD pipelines
  • Fundamental understanding of cloud infrastructure

Intended Audience

  • DevOps specialists
  • IT managers
  • System administrators

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