- An understanding of DevOps principles
- Experience with CI/CD pipelines
- Basic knowledge of cloud infrastructure
Audience
- DevOps professionals
- IT managers
- System administrators
Kubiya AI is an advanced AI platform designed to enhance DevOps workflows through intelligent automation and integration.
This instructor-led, live training (online or onsite) is aimed at beginner-level DevOps professionals and IT managers who wish to explore the capabilities of Kubiya AI and integrate it with their existing tools.
By the end of this training, participants will be able to:
- Understand the features and benefits of Kubiya AI.
- Set up and configure Kubiya AI in their environment.
- Implement basic use cases for Kubiya AI in DevOps.
- Integrate Kubiya AI with existing DevOps tools.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
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
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