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Course Outline
Kubiya AI Fundamentals
- General overview of Kubiya AI
- Core features and value propositions
- Practical applications in DevOps
Kubiya AI Deployment
- Installation procedures and configuration
- Preparing the operational environment
- Initial setup and parameter tuning
Core Use Cases and Applications
- Automating repetitive tasks
- Utilizing Kubiya AI for monitoring and alerts
- Strengthening CI/CD pipelines
Connecting Kubiya AI to the DevOps Ecosystem
- Linking with CI/CD tools (Jenkins, GitLab CI, etc.)
- Syncing with cloud platforms (AWS, Azure, GCP)
- Collaborating with container orchestration tools (Kubernetes, Docker)
Advanced Setup and Customization
- Sophisticated workflow automation
- Tailoring Kubiya AI to specific business needs
- Addressing security and compliance standards
Practical Projects
- Setting up real-world scenarios
- Applying and testing implementations
- Debugging and performance optimization
Recap and Future Directions
Requirements
- Foundational knowledge of DevOps concepts
- Proficiency with CI/CD pipelines
- Basic familiarity with cloud infrastructure
Intended Audience
- DevOps practitioners
- 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