Online or onsite, instructor-led live Kubiya AI training courses demonstrate through interactive hands-on practice how to use Kubiya AI to automate DevOps workflows, enhance collaboration, and streamline cloud operations using conversational AI.
Kubiya AI training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Recife onsite live Kubiya AI trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Recife - JCPM Trade Center
60 Eng. Antonio de Goes Avenue, 7º and 14º floor, , Recife, Brazil, 51010-000
The Recife JCPM Trade Center is in a 20-story building. The center has access to a helipad and five floors of parking. It is 10km from Guararapas International Airport.
Recife, Cicero Dias - Shopping Center Recife
Rua Padre Carapuceiro, 858 , Recife, Brazil, 51020-280
The business center is located in the Cicero Dias Tower, part of a prestigious complex of five buildings, the Queiroz Galvão Center. Its stands out for its distinctive architecture and for being located in an area with a consolidated entrepreneurial vocation. The business center has a privileged position in Pernambuco, in one of the greatest development axis of northeastern Brazil. The business center is walking distance to one of the Recife's greatest shopping centers and from Shopping subway station. It is also 30 minutes away from the Port of Suape, one of the most important seaports in the country and a 7-minute drive from Guararapes International Airport.
This instructor-led, live training in Recife (online or onsite) is aimed at advanced-level DevOps teams and IT architects who wish to leverage Kubiya AI to automate and optimize enterprise-level DevOps operations.
By the end of this training, participants will be able to:
Customize Kubiya AI for specific enterprise DevOps environments.
Integrate Kubiya AI with CI/CD tools used in enterprise DevOps.
Enhance DevOps automation with AI-driven workflows.
Ensure security and compliance within AI-driven DevOps processes.
This instructor-led, live training in Recife (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 Recife (online or onsite) is aimed at intermediate-level DevOps engineers and CI/CD managers who wish to enhance their pipelines with AI automation using Kubiya AI.
By the end of this training, participants will be able to:
Understand the fundamentals of integrating AI into DevOps pipelines.
Implement Kubiya AI within popular CI/CD tools such as Jenkins and GitLab CI.
Automate CI/CD pipeline tasks with Kubiya AI.
Monitor and manage CI/CD pipelines using AI for proactive problem detection.
This instructor-led, live training in Recife (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 Recife (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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