Belo Horizonte - Amadeus Business Tower

6594 Contorno Avenue, floors 16 and 17, Belo Horizonte, Brazil

The Belo Horizonte Amadeus Business Tower Center occupies the 16th and 17th floors of a modern high-rise on one of the city's main streets, located in the prestigious Stavassi commercial district. The building features intelligent hi-tech systems, a cyber café, heliport and parking. It is 25 minutes from Pampulha Airport for domestic flights.

Explore Our Courses

Customizing Kubiya AI for Enterprise DevOps

 14 Hours
This instructor-led, live training in Belo Horizonte (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.
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Kubiya AI for Cloud Operations

 14 Hours
This instructor-led, live training in Belo Horizonte (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.
  • Optimize cloud costs using AI-powered analytics.
  • Enhance cloud security with AI-driven monitoring.
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Integrating Kubiya AI with DevOps Pipelines

 14 Hours
This instructor-led, live training in Belo Horizonte (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.
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Advanced Kubiya AI for DevOps Automation

 21 Hours
This instructor-led, live training in Belo Horizonte (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.
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Introduction to Kubiya AI for DevOps

 14 Hours
This instructor-led, live training in Belo Horizonte (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.
  • Integrate Kubiya AI with existing DevOps tools.
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Upcoming Courses

Introduction to Kubiya AI for DevOps

2025-06-16 09:30
14 hours
Belo Horizonte - Amadeus Business Tower
$ 20883 (Online)
$ 21283 (Classroom)

Introduction to Kubiya AI for DevOps

2025-06-30 09:30
14 hours
Belo Horizonte - Amadeus Business Tower
$ 20883 (Online)
$ 21283 (Classroom)

Customizing Kubiya AI for Enterprise DevOps

2025-07-14 09:30
14 hours
Belo Horizonte - Amadeus Business Tower
$ 20883 (Online)
$ 21283 (Classroom)

Kubiya AI for Cloud Operations

2025-07-28 09:30
14 hours
Belo Horizonte - Amadeus Business Tower
$ 20883 (Online)
$ 21283 (Classroom)

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