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Course Outline
Introduction to Kubiya AI
- Overview of Kubiya AI
- Key features and advantages
- Use cases within DevOps
Setting Up Kubiya AI
- Installation and configuration
- Environment setup
- Initial 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 Customisations
- Advanced workflow automation
- Customising Kubiya AI for specific needs
- Security and compliance considerations
Hands-on Projects
- Real-world project setup
- Practical implementation and testing
- Troubleshooting and optimisation
Summary and Next Steps
Requirements
- A working knowledge of DevOps principles
- Experience with CI/CD pipelines
- Foundational understanding of cloud infrastructure
Audience
- DevOps professionals
- IT managers
- System administrators
14 Hours
Testimonials (2)
Craig was extremely involved in the training, always making sure we are paying attention, adapted the examples to our day-to-day activities and always provided an answer when asked, even if the information was not added in the presentation.
Ecaterina Ioana Nicoale - BOOKING HOLDINGS ROMANIA SRL
Course - DevOps Foundation®
High level of commitment and knowledge of the trainer
