Course Outline
Introduction to CI/CD Pipelines and Kubiya AI
- Overview of CI/CD concepts and workflows
- Overview of Kubiya AI and its function in DevOps automation
- Examination of Kubiya AI’s primary features
Integrating Kubiya AI with Leading CI/CD Tools
- Configuring Kubiya AI with Jenkins
- Integration of Kubiya AI with GitLab CI
- Linking Kubiya AI with Docker-based pipelines
Automating CI/CD Pipeline Tasks via Kubiya AI
- AI-assisted automation for build, testing, and deployment phases
- Minimizing manual effort through AI automation
- Optimizing pipeline management and troubleshooting processes
Supervising and Managing CI/CD Pipelines with AI
- Real-time oversight of pipeline status
- Early detection of issues through AI analytics
- Automated alerts and issue resolution workflows
Advanced AI Applications in CI/CD Pipelines
- AI-led optimization of resource distribution
- Predictive analysis for potential pipeline failures
- AI-based anomaly detection within CI/CD pipelines
Strengthening CI/CD Pipeline Security with AI
- Utilizing AI to identify security vulnerabilities
- Improving code review procedures using AI
- Maintaining compliance via automated AI-driven inspections
Scaling CI/CD Pipelines with AI
- Leveraging AI to manage extensive DevOps environments
- Automating the scaling of CI/CD infrastructure
- Real-world examples of AI-facilitated scalability in production
Summary and Future Directions
Requirements
- Foundational knowledge of CI/CD pipelines
- Practical experience with DevOps tools (such as Jenkins, GitLab)
- Acquaintance with automation processes
Target Audience
- DevOps engineers
- CI/CD pipeline managers
- Infrastructure automation specialists
Testimonials (3)
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
Jacek - Softsystem
Course - DevOps Engineering Foundation (DOEF)®
real life examples