DevOps Training in Gaia

This instructor-led, live training in Gaia (online or onsite) is aimed at intermediate-level remote teams, project managers, and HR professionals who wish to automate collaboration and task management processes using Make.

By the end of this training, participants will be able to:

• Automate team collaboration tasks and notifications.
• Integrate Make with project management tools.
• Streamline HR and onboarding workflows.
• Improve task tracking and reporting with automation.

This instructor-led, live training in Gaia (online or onsite) is designed for advanced IoT developers and smart home enthusiasts looking to automate IoT processes and develop innovative solutions using n8n.

By the end of this training, participants will be able to:

• Set up and configure n8n for IoT workflow automation.
• Integrate IoT devices and platforms using n8n nodes and connectors.
• Implement custom workflows to automate IoT tasks and processes.
• Utilise IoT protocols such as MQTT and REST APIs within n8n workflows.
• Monitor, troubleshoot, and optimise IoT automation workflows.

This instructor-led, live training in Gaia (online or onsite) is designed for intermediate-level software developers, system administrators, and IT project managers who wish to enhance their skills in building and managing automated, scalable, and collaborative IT environments.

Upon completing this training, participants will be able to:

• Grasp the fundamental principles and advantages of DevOps and Platform Engineering.
• Implement Infrastructure as Code (IaC) and automate the provisioning of IT infrastructure.
• Construct and maintain Continuous Integration and Continuous Delivery (CI/CD) pipelines.
• Deploy and manage microservices using containerization tools such as Docker and Kubernetes.
• Embed security practices into the software development lifecycle through DevSecOps.
• Apply observability techniques to monitor and enhance system reliability.

This instructor-led, live training in Gaia (online or onsite) is aimed at advanced-level IT administrators and DevOps engineers who wish to secure and scale n8n workflows for large-scale, enterprise environments.

By the end of this training, participants will be able to:

• Implement security measures to protect n8n workflows and sensitive data.
• Configure access control and user management for n8n.
• Optimize n8n performance and reliability for large-scale automation.
• Identify and address common scaling challenges in n8n workflows.

Delivered as an instructor-led, live training session in Gaia (online or onsite), this programme is designed for advanced developers and technical consultants aiming to craft tailored automation solutions and extend n8n’s capabilities to meet specific organisational requirements.

Upon completion, participants will be capable of:

• Configuring a development environment for building custom nodes within n8n.
• Creating custom nodes to address distinct business use cases.
• Testing and debugging custom nodes within a controlled setting.
• Deploying and maintaining custom nodes for production environments.

This instructor-led, live training in Gaia (online or onsite) is aimed at advanced-level professionals who wish to deploy fine-tuned models reliably and efficiently.

By the end of this training, participants will be able to:

• Understand the challenges of deploying fine-tuned models into production.
• Containerize and deploy models using tools like Docker and Kubernetes.
• Implement monitoring and logging for deployed models.
• Optimize models for latency and scalability in real-world scenarios.

Conducted by an expert instructor, this live training in Gaia (online or on-site) is designed for advanced participants aiming to deploy Apache Airflow in cloud settings, configure CI/CD pipelines, and implement comprehensive monitoring and logging strategies.

By the conclusion of this training, participants will be able to:

• Deploy Apache Airflow in cloud and containerized environments.
• Set up CI/CD pipelines to automate DAG testing and deployment.
• Integrate monitoring and logging tools to enhance system reliability.
• Optimize Airflow configurations for performance and scalability.
• Implement security best practices for managing workflows and environments.

This instructor-led live training in Gaia (online or onsite) targets advanced-level DevOps teams and IT architects who wish to utilise Kubiya AI to automate and optimise enterprise-level DevOps operations.

By the conclusion 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 Gaia (online or onsite) is designed for intermediate-level data professionals who wish to utilize Make to build automated data pipelines and streamline data synchronization processes.

By the end of this training, participants will be able to:

• Set up automated data pipelines using Make.
• Integrate various data sources, including databases, CRMs, and cloud applications.
• Implement real-time data synchronization and transformation.
• Optimize and troubleshoot automation workflows.

This instructor-led, live training in Gaia (online or onsite) is designed for intermediate DevOps professionals seeking to integrate security into their practices, with a focus on automating security checks and processes within a CI/CD pipeline.

Upon completion of this training, participants will be capable of:

• Understanding the core principles of integrating security into the DevOps workflow.
• Automating security checks using Jenkins and integrating tools such as SonarQube for code analysis and vulnerability scanning.
• Deploying secure applications using Kubernetes.
• Ensuring secure communication between microservices via RabbitMQ, PostgreSQL, and MongoDB.
• Establishing continuous monitoring and auditing to guarantee compliance and security across all deployments.

This instructor-led, live training in Gaia (online or onsite) is aimed at intermediate-level to advanced-level developers, DevOps professionals, and architects who wish to design, deploy, and manage resilient applications using microservices, containers, and continuous integration/continuous deployment (CI/CD) pipelines.

By the end of this training, participants will be able to:

• Understand and implement microservices architecture.
• Deploy and manage containerized applications with Docker and Kubernetes.
• Set up and optimize CI/CD pipelines for automated deployments.
• Apply best practices for security, monitoring, and observability.

This instructor-led, live training in Gaia (online or onsite) is tailored for advanced-level developers, automation specialists, and IT professionals who wish to master custom integrations and multi-step automations in Zapier.

By the end of this training, participants will be able to:

• Create custom Zapier integrations using APIs and webhooks.
• Design and manage complex multi-step workflows.
• Optimize and debug advanced automation workflows.
• Integrate Zapier with proprietary or less common applications.

This instructor-led, live training in Gaia (online or onsite) is targeted at intermediate-level DevOps engineers and CI/CD managers who wish to enhance their pipelines with AI automation using Kubiya AI.

By the conclusion 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 Gaia (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 Gaia (online or onsite) is designed for developers at intermediate to advanced levels, as well as AI enthusiasts, who aim to develop advanced AI workflows in n8n.

Upon completion of this training, participants will be able to:

• Comprehend the integration of AI services within n8n workflows.
• Implement AI-driven decision-making in automated processes.
• Create custom AI nodes and utilize pre-built AI nodes in n8n.
• analyze and optimize the performance of AI workflows.

This instructor-led live training in Gaia (online or onsite) targets intermediate-level IT professionals and automation engineers who wish to master Make’s advanced features, optimize complex workflows, and handle error management effectively.

Upon completion of this training, participants will be able to:

• Leverage advanced Make features for workflow automation.
• Optimize workflows through conditional logic, iterators, and error handling.
• Integrate multiple applications to achieve seamless automation.
• Monitor and troubleshoot workflows to ensure maximum efficiency.
• Apply best practices for scaling workflow automation solutions.

This instructor-led, live training in Gaia (online or onsite) is tailored for DevOps practitioners and IT managers at the beginner level who wish to investigate the capabilities of Kubiya AI and incorporate it into their existing toolsets.

Upon completion of this training, participants will be able to:

• Comprehend the features and advantages of Kubiya AI.
• Deploy and configure Kubiya AI within their operational environment.
• Execute fundamental use cases for Kubiya AI within DevOps contexts.
• Connect Kubiya AI with current DevOps infrastructure.

This instructor-led, live training in Gaia (online or onsite) is aimed at beginner-level participants who wish to learn the basics of workflow automation and simplify their daily tasks using Make.

By the end of this training, participants will be able to:

• Create and manage workflows in Make.
• Integrate different applications into workflows.
• Automate simple tasks such as data synchronization, notifications, and file management.
• Understand how to use pre-built templates and create custom workflows.
• Learn how to troubleshoot and debug workflows.

SonarQube is a platform dedicated to the continuous inspection of code quality and security via static analysis and reporting tailored for developers.

This instructor-led live training, available either online or onsite, targets intermediate-level developers, DevOps engineers, and security professionals aiming to implement static code analysis, integrate SonarQube into Azure DevOps pipelines, and reinforce secure development practices.

Upon completing this training, participants will be capable of:

• Explaining SonarQube’s architecture, core features, and security-centric rule sets.
• Configuring SonarScanner alongside common build tools such as Maven, Gradle, and Ant.
• Integrating SonarQube into Azure DevOps pipelines and importing Azure Repos for continuous analysis.
• Defining and adjusting analysis parameters, adding custom rules via the SonarQube API, and interpreting security reports.
• Implementing improvements to secure development methodologies and mapping responsibilities within the CI/CD process.
• Conducting hands-on analyses across sample repositories (Java + Quarkus and Angular) and addressing identified issues.

Format of the Course

• Interactive lectures and discussions.
• Guided, practical hands-on labs utilizing real repositories.
• Live configuration, testing, and troubleshooting within an Azure DevOps and SonarQube environment.

Course Customization Options

• To request a customized version of this training (such as different language stacks, deeper DevOps integration, or expanded labs), please contact us to arrange.

This instructor-led, live training in Gaia (online or onsite) is aimed at engineering and design professors who wish to understand, apply, and teach modern software development practices relevant to systems engineering, civil engineering, design, and architecture disciplines.

This instructor-led, live training in Gaia (online or onsite) is aimed at DevOps engineers, developers, and SysOps administrators who wish to maximize the tools and features made available through the Ansible project for the advancement of organizational IT infrastructures and processes.

Simultaneously, they can utilize the opportunity to carry out complex Ansible implementations for large-scale applications while employing its open-sourced tower for optimized DevOps management and collaboration functions.

By the end of this training, participants will be able to:

• Install and configure Ansible along with other open-source tools and resources.
• Establish a centralized system for DevOps management using Ansible project features.
• Operate automation tools and advanced resources of Ansible to achieve CI/CD approach.
• Execute better SysOps methods using Ansible's collaborative features for management of larger teams.
• Enhance DevOps tasks execution within the organization and optimize existing ones.
• Integrate Ansible with external platforms and leverage other Ansible tools for the organization's advantage.

This instructor-led, live training Gaia (online or onsite) is designed for developers or DevOps engineers who aim to construct automation pipelines utilising CI/CD practices with Python.

Upon completion of this training, participants will be capable of:

• Configuring the requisite development environment to initiate the construction of CI/CD pipelines with Python.
• Constructing automated pipelines for testing and publishing Python packages using Travis-CI.
• Automating the deployment of containerised applications employing Docker and Heroku.

This intensive 7-day programme offers a comprehensive, hands-on exploration into the design, deployment, and operation of cloud-native applications through modern DevOps methodologies.

Participants will learn to architect scalable microservice systems, optimise containerised environments, and manage production workloads using Kubernetes. The curriculum encompasses advanced deployment techniques, GitOps-driven automation, and observability frameworks to guarantee system reliability and high performance.

Significant emphasis is placed on addressing real-world operational hurdles, such as incident management, failure simulation, and root cause analysis. The programme concludes with the integration of AI-powered tools designed to aid in troubleshooting and expedite operational decision-making processes.

Upon completion, participants will possess a robust understanding of how to construct, deploy, monitor, and sustain resilient distributed systems within a Kubernetes infrastructure.

In this instructor-led, live course in Gaia, participants will learn how to formulate an effective security strategy to address the challenges of DevOps security.

This premier, state-of-the-art, practical workshop places participants directly into the critical realities of securing modern CI/CD pipelines. Tailored for security specialists, DevOps engineers, and developers keen to master advanced breach defense, the training combines live attack simulations with industry-leading tools and practical defensive strategies.

This instructor-led, live training in Gaia (online or onsite) is aimed at DevOps engineers and infrastructure architects who wish to automate the provisioning, monitoring, and lifecycle management of private AI clusters built on EXO.

This instructor-led, live training in Gaia (online or onsite) is designed for engineers looking to evaluate current approaches and tools. The course helps participants make informed decisions about adopting MLOps within their organizations.

Upon completion, participants will be able to:

• Install and configure various MLOps frameworks and tools.
• Build a skilled team capable of constructing and supporting an MLOps system.
• Prepare, validate, and version data for consumption by ML models.
• Understand the components of an ML Pipeline and the necessary tools to construct one.
• Experiment with different machine learning frameworks and servers for production deployment.
• Operationalize the entire Machine Learning lifecycle to ensure it is reproducible and maintainable.

This instructor-led, live training in Gaia (online or onsite) is aimed at DevOps engineers, SREs, and platform teams who wish to replace manual orchestration and brittle glue scripts with automated, node-driven n8n workflows for CI/CD pipelines, infrastructure management, and incident response.

This management-oriented DevOps course offers a thorough grasp of contemporary software delivery practices, integrating DevOps culture, processes, tools, and business strategy. Through a mix of presentations, demonstrations, hands-on labs, and workshops, participants examine the entire DevOps lifecycle, ranging from version control and CI/CD pipelines to containers, infrastructure automation, security integration, and reliability engineering.

Moving beyond mere technical concepts, the programme emphasizes the managerial dimensions of DevOps adoption, such as organizational change, maturity assessment, performance measurement, and the creation of business value. Participants engage with real-world scenarios and their own projects to pinpoint areas for improvement, evaluate current delivery practices, and develop actionable plans for implementing DevOps within their organizations.

This capstone course guides participants in designing, deploying, and managing a complete sovereign digital infrastructure stack from the ground up. Upon completion, students will have established a functioning mini-organization utilising solely self-hosted, open-source tools for identity, communication, productivity, development, security, AI, and monitoring—entirely independent of Google, Microsoft, AWS, or proprietary SaaS solutions.