Whether delivered online or on-site, these instructor-led live Kubiya AI training courses utilize interactive, hands-on exercises to demonstrate how to leverage Kubiya AI for automating DevOps workflows, improving collaboration, and optimizing cloud operations via conversational AI.
Kubiya AI training is offered as either "online live training" or "onsite live training." Online live training, also referred to as "remote live training," is conducted through an interactive remote desktop environment. Onsite live training can be hosted directly at the client's premises in Prague or at NobleProg's corporate training centers located in Prague.
From Prague Main Train Station (Praha hlavní nádraží)
Take tram 9 from Hlavní nádraží toward Sídliště Řepy.
Get off at Újezd.
Walk about 10 minutes toward Malostranské náměstí / Prokopská.
Continue along Prokopská to 296/8.
Alternative: Take the metro C from Hlavní nádraží → Muzeum, change to metro A → Malostranská, then walk across Malá Strana. This involves more walking.
From Prague Bus Station — Florenc
Take metro B from Florenc toward Zličín.
Get off at Můstek.
Change to metro A toward Nemocnice Motol.
Get off at Malostranská.
Walk approximately 10–15 minutes to Prokopská 296/8.
This live, instructor-led training in Prague (online or in-person) is aimed at senior DevOps teams and IT architects who wish to use Kubiya AI to automate and optimize enterprise-level DevOps operations.
By the end of this training, participants will be able to:
Configure Kubiya AI for specific enterprise DevOps environments.
Integrate Kubiya AI with CI/CD tools used in enterprise DevOps.
Improve DevOps automation with AI-driven workflows.
Ensure security and compliance within AI-driven DevOps processes.
This instructor-led, live training in Prague (online or onsite) is aimed at intermediate-level cloud engineers and operations managers who wish to improve their cloud infrastructure management using Kubiya AI.
By the end of this training, participants will be able to:
Integrate Kubiya AI into cloud infrastructure.
Automate cloud resource provisioning and management.
This instructor-led, live training in Prague (online or on-site) is designed for intermediate-level DevOps engineers and CI/CD managers who aim to enhance their pipelines with AI automation through Kubiya AI.
Upon completing this training, participants will be capable of:
Grasping the core principles of integrating AI into DevOps pipelines.
Deploying Kubiya AI within widely used CI/CD platforms such as Jenkins and GitLab CI.
Automating CI/CD pipeline operations using Kubiya AI.
Monitoring and managing CI/CD pipelines with AI to detect issues proactively.
This instructor-led, live training in Prague (online or onsite) is aimed at advanced-level DevOps engineers and automation specialists who wish to deepen their understanding of Kubiya AI and leverage its full capabilities for large-scale operations.
By the end of this training, participants will be able to:
Automate complex workflows using Kubiya AI.
Customize AI responses and actions.
Scale DevOps operations with Kubiya AI.
Troubleshoot and optimize Kubiya AI implementations.
Understand and implement security and compliance measures.
Integrate Kubiya AI with advanced CI/CD tools and additional cloud services.
Set up performance monitoring and create custom reports.
This instructor-led, live training in Prague (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.
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