Get in Touch

Course Outline

Getting to know Kubiya AI

  • High-level view of Kubiya AI
  • Core features and key benefits
  • Practical DevOps use cases

Deploying Kubiya AI

  • Installation and initial setup
  • Preparing the environment
  • Initial configuration steps

Foundational Use Cases and Applications

  • Streamlining routine tasks
  • Monitoring and alerting via Kubiya AI
  • Optimizing CI/CD pipelines

Connecting Kubiya AI to Current DevOps Tools

  • Integration with CI/CD platforms (Jenkins, GitLab CI, etc.)
  • Linking with cloud providers (AWS, Azure, GCP)
  • Utilizing Kubiya AI alongside container orchestration (Kubernetes, Docker)

Advanced Setup and Personalization

  • Complex workflow automation
  • Tailoring Kubiya AI to specific requirements
  • Addressing security and compliance needs

Practical Projects

  • Setting up a real-world scenario
  • Hands-on implementation and testing
  • Debugging and performance tuning

Recap and Future Steps

Requirements

  • Familiarity with core DevOps principles
  • Practical experience with CI/CD pipelines
  • Fundamental grasp of cloud infrastructure

Intended Audience

  • DevOps practitioners
  • IT leadership
  • System administrators
 14 Hours

Number of participants


Price per participant

Testimonials (2)

Upcoming Courses

Related Categories