DevOps Training in Dobrogea

This instructor-led, live training in Dobrogea (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 Dobrogea (online or onsite) is aimed at advanced-level AI/ML engineers, data scientists, and tech innovators who wish to integrate AI capabilities into Make workflows to optimize and automate processes.

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

• Understand AI and machine learning capabilities in automation.
• Integrate AI/ML models into Make workflows using APIs.
• Implement sentiment analysis, predictive modeling, and data-driven decision-making.
• Optimize and scale AI-driven automation workflows.

This instructor-led, live training in Dobrogea (online or onsite) is designed for advanced-level developers, system integrators, and technical operations teams who wish to enhance their automation processes by integrating external APIs with Make.

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

• Understand Make’s API and how to extend its functionality.
• Work with APIs to integrate third-party applications.
• Create custom connectors for unsupported applications.
• Use advanced automation techniques with Make and APIs.

This instructor-led, live training in Dobrogea (online or onsite) is aimed at 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.

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

• Understand the core principles and benefits of DevOps and Platform Engineering.
• Implement Infrastructure as Code (IaC) and automate the provisioning of IT infrastructure.
• Build and maintain Continuous Integration and Continuous Delivery (CI/CD) pipelines.
• Deploy and manage microservices using containerization tools like Docker and Kubernetes.
• Integrate security practices into the software development lifecycle with DevSecOps.
• Apply observability techniques to monitor and improve system reliability.

This instructor-led, live training in Dobrogea (online or onsite) targets advanced DevOps professionals aiming to automate CI/CD pipelines, infrastructure monitoring, and cloud deployments using Make.

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

• Automate CI/CD workflows using Make and integrate with Jenkins, GitHub, and Docker.
• Manage infrastructure automation for provisioning and monitoring cloud resources.
• Implement efficient workflow automation for code deployment, testing, and rollback strategies.
• Optimize infrastructure orchestration using Make’s advanced integrations.

This instructor-led, live training in Dobrogea (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.

This instructor-led live training, held in Dobrogea (online or onsite), is designed for intermediate-level professionals who wish to leverage Make to integrate various business applications, streamline operations, and enhance productivity.

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

• Set up automated workflows between different business applications.
• Use Make to connect SaaS tools such as Google Workspace, Slack, Trello, and Stripe.
• Design and implement multi-step workflows without coding.
• Optimize and troubleshoot automated workflows.

This instructor-led live training, conducted in Dobrogea (online or onsite), is tailored for advanced business professionals and automation engineers who want to leverage Zapier and AI integrations to scale operations effectively.

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

• Design and implement complex automation workflows using Zapier.
• Integrate AI models into business processes for predictive insights.
• Optimize operations by automating tasks across multiple platforms.
• Monitor and troubleshoot automated workflows for continuous improvement.

This instructor-led live training in Dobrogea (online or on-site) is designed for advanced participants seeking to deploy Apache Airflow in cloud environments, set up CI/CD pipelines, and implement comprehensive monitoring and logging practices.

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

• Deploying Apache Airflow in cloud and containerized environments.
• Establishing CI/CD pipelines to automate DAG testing and deployment.
• Integrating monitoring and logging tools to enhance system reliability.
• Tuning Airflow configurations for improved performance and scalability.
• Implementing security best practices for workflow and environment management.

This instructor-led, live training in Dobrogea (online or onsite) is designed for advanced DevOps teams and IT architects who wish to utilize Kubiya AI to automate and optimize enterprise-level DevOps operations.

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

• Adapt Kubiya AI for specific enterprise DevOps environments.
• Integrate Kubiya AI with CI/CD tools commonly used in enterprise DevOps.
• Enhance DevOps automation through AI-driven workflows.
• Ensure security and compliance within AI-driven DevOps processes.

This instructor-led, live training in Dobrogea (online or onsite) targets intermediate-level data professionals eager to leverage Make for constructing automated data pipelines and streamlining data synchronization processes.

Upon completing this training, participants will be equipped to:

• Establish automated data pipelines using Make.
• Connect various data sources, such as databases, CRMs, and cloud applications.
• Execute real-time data synchronization and transformation.
• Optimize and troubleshoot automation workflows.

This instructor-led, live training in Dobrogea (online or onsite) is aimed at intermediate-level e-commerce professionals who wish to automate order processing, payments, and customer support using Zapier.

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

• Automate order processing and fulfillment.
• Sync payment data with accounting systems.
• Enhance customer support through automation.
• Optimize marketing and sales workflows.

This instructor-led live training in Dobrogea (online or onsite) is aimed at intermediate-level participants who wish to automate and manage machine learning workflows, including model training, validation, and deployment using Apache Airflow.

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

• Set up Apache Airflow for machine learning workflow orchestration.
• Automate data preprocessing, model training, and validation tasks.
• Integrate Airflow with machine learning frameworks and tools.
• Deploy machine learning models using automated pipelines.
• Monitor and optimize machine learning workflows in production.

This instructor-led, live training in Dobrogea (online or onsite) is tailored for intermediate-level DevOps professionals who wish to incorporate security into their DevOps practices, emphasizing the automation of security checks and processes within a CI/CD pipeline.

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

• Comprehend the fundamentals of integrating security within the DevOps process.
• Automate security checks using Jenkins and integrate tools like SonarQube for code analysis and vulnerability scanning.
• Deploy secure applications with Kubernetes.
• Ensure secure communication between microservices using RabbitMQ, PostgreSQL, and MongoDB.
• Set up continuous monitoring and auditing to ensure compliance and security across deployments.

This instructor-led, live training in Dobrogea (online or onsite) is aimed at intermediate-level eCommerce professionals who wish to streamline their sales and inventory management processes using Make.

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

• Integrate eCommerce platforms like Shopify, WooCommerce, and Etsy with Make.
• Automate inventory updates and order tracking across multiple platforms.
• Set up automated workflows for customer communication and support.
• Optimize sales and inventory management through advanced automation strategies.

This instructor-led, live training in Dobrogea (online or onsite) is aimed at intermediate-level marketers who wish to automate lead generation, email campaigns, and customer follow-ups using Zapier.

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

• Understand Zapier’s role in marketing automation.
• Set up workflows to automate lead generation and nurturing.
• Integrate marketing tools such as CRMs, email platforms, and analytics tools.
• Optimize and troubleshoot automation workflows for maximum efficiency.

This instructor-led, live training in Dobrogea (online or on-site) targets advanced-level participants who aim to develop custom operators, sensors, and plugins in Apache Airflow, integrating them with current data systems for advanced automation and monitoring.

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

• Develop custom operators, hooks, and sensors tailored to specific workflows.
• Design and implement Airflow plugins to extend functionality.
• Integrate Airflow workflows with external systems and services.
• Optimize and monitor workflows using advanced debugging tools.
• Leverage best practices for managing large-scale Airflow deployments.

This instructor-led, live training in Dobrogea (online or onsite) is designed for advanced developers, automation experts, and IT professionals aiming to master custom integrations and complex multi-step automations within Zapier.

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

• Build custom Zapier integrations utilizing APIs and webhooks.
• Design and oversee intricate multi-step workflows.
• Optimize and troubleshoot advanced automation processes.
• Integrate Zapier with proprietary or niche applications.

This instructor-led, live training in Dobrogea (online or onsite) is designed for intermediate-level DevOps engineers and CI/CD managers who want to enhance their pipelines using AI automation via 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 Dobrogea (online or onsite) is aimed at intermediate-level marketing professionals who wish to automate repetitive tasks, nurture leads effectively, and optimize customer engagement through workflow automation.

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

• Use Make to automate marketing campaigns and lead nurturing workflows.
• Create personalized customer journey maps through integrated platforms.
• Sync data across marketing tools like Mailchimp, HubSpot, and social media platforms.
• Monitor and analyze automated workflows to optimize campaign performance.
• Adopt best practices for scalable marketing automation strategies.

This instructor-led live training Dobrogea (online or onsite) is designed for advanced DevOps engineers and automation specialists who aim to deepen their expertise in Kubiya AI and utilize its comprehensive capabilities for large-scale operations.

By the conclusion 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 Dobrogea (online or onsite) is designed for intermediate-level professionals who want to create and optimize automated workflows using Zapier for business operations.

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

• Design and implement efficient Zapier workflows.
• Integrate multiple business apps for seamless automation.
• Optimize Zap performance and troubleshoot common issues.
• Scale workflow automation to meet business needs.

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

Upon completion, participants will be able to:

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

This guided, live training session in Dobrogea (online or in-person) is designed for beginner-level DevOps engineers and IT managers who want to explore Kubiya AI's capabilities and integrate them into their current tools.

Upon completion of this course, attendees will be equipped to:

• Grasp the functionality and advantages offered by Kubiya AI.
• Install and configure Kubiya AI within their specific environment.
• Deploy fundamental use cases for Kubiya AI within DevOps contexts.
• Connect Kubiya AI with their existing DevOps infrastructure.

This instructor-led live training in Dobrogea (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.

The SRE Practitioner Certification Preparation is a thorough training program focused on advanced Site Reliability Engineering practices, aligned with the official DevOps Institute syllabus, designed to help participants succeed in their certification journey.

Delivered by an instructor either online or in-person, this training targets experienced DevOps and SRE professionals who want to master advanced SRE techniques and prepare for the DevOps Institute SRE Practitioner certification exam.

Upon completing this training, participants will be able to:

• Identify and address common SRE anti-patterns.
• Effectively define and manage SLIs, SLOs, and error budgets.
• Design systems that are secure, fault-tolerant, and highly reliable.
• Implement advanced strategies for observability, automation, and incident response.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical practice.
• Hands-on implementation in a live-lab environment.

Customization Options

• To request a customized version of this course, please contact us to make arrangements.

This instructor-led, live training in Dobrogea (online or onsite) is aimed at beginner-level professionals who wish to use Zapier to automate repetitive tasks and improve efficiency without coding.

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

• Understand the basics of Zapier and its automation capabilities.
• Set up and configure Zaps to automate tasks.
• Integrate popular business tools with Zapier.
• Manage and optimize automated workflows.

This instructor-led, live training in Dobrogea (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 Dobrogea (online or onsite) is aimed at DevOps engineers, developers, and project managers who wish to efficiently execute preprogrammed functions and administer software development workflows using the powerful RESTful API of Ansible AWX.

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

• Install and configure Ansible AWX on their preferred software development environment.
• Understand the DevOps principles and concepts foundational to Ansible AWX.
• Utilize AWX's automation tools to enhance workflows and facilitate DevOps processes.
• Integrate AWX with external resources to leverage its features and collaborate with teams.

This instructor-led, live training in Dobrogea (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 in Dobrogea (online or onsite) is aimed at DevOps engineers and developers who wish to use CodePipeline to automate release pipelines for efficient updating of applications and infrastructures.

By the end of this training, participants will be able to use CodePipeline features and tools to automate and configure workflows in software release workflows.

This intensive 7-day program offers a comprehensive, practical exploration into the design, deployment, and operation of cloud-native applications using contemporary DevOps methodologies.

Attendees will delve into the creation of scalable microservices architectures, the optimization of containerized environments, and the management of production workloads via Kubernetes. The curriculum encompasses advanced deployment techniques, GitOps-driven automation, and observability strategies to guarantee system reliability and optimal performance.

Significant emphasis is placed on addressing real-world operational challenges, including incident response protocols, failure simulation exercises, and root cause analysis. The program concludes by integrating AI-powered tools to facilitate 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 ecosystem.

This instructor-led, live training in Dobrogea (online or onsite) is aimed at DevOps engineers who wish to automate code and code deployment with Atlassian Bamboo.

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

• Employ a CI/CD system.
• Supply application configuration files for targeted environments.
• Build and package code with Atlassian Bamboo.

This program is tailored for professionals involved in designing, implementing, and managing DevOps deployment pipelines and toolchains that facilitate Continuous Integration, Continuous Delivery, Continuous Testing, and potentially Continuous Deployment. The curriculum emphasizes the underlying processes, metrics, APIs, and cultural aspects integral to Continuous Delivery.

Learn how to optimize testing, to test faster and still obtain good quality and a consistent stable result.

Discover what DevOps Engineering entails, why it is crucial, and how to engineer DevOps for success.

The course begins with a brief review of DevOps foundational principles before moving into the implementation of DevOps. Designed from an engineering perspective, it covers topics such as the relationship between DevOps and other frameworks, technologies,
application design practices, continuous integration, continuous delivery and deployment, continuous testing, elastic infrastructures, monitoring, metrics, observability, governance, human factors, and future trends in DevOps engineering.

The DevOps Foundation course establishes a foundational understanding of essential DevOps terminology, ensuring that all team members share a common language. It also highlights the benefits of DevOps to drive organizational success.

The course highlights the human dynamics of cultural change and equips participants with practices, methods, and tools to engage people across the DevOps spectrum through the use of real-life scenarios and case studies. Upon completion of the course, participants will have tangible takeaways to leverage when back in the office such as understanding Value Stream Mapping.

In this instructor-led live course in Dobrogea, participants will learn how to formulate the appropriate security strategy to confront the DevOps security challenge.

An introduction to value stream management principles, practices, and tools. Designed to optimize value flow and realization in digital value streams and develop individuals’ skills. Digital value streams include the software applications and services in addition to the platforms that support them e.g., cloud infrastructure or DevOps toolchains

Course topics covered include how DevSecOps provides business value, enhancing your business opportunities, and improving corporate value. The core DevSecOps principles taught can support an organizational transformation, increase productivity, reduce risk, and optimize resource usage.

This course offers a comprehensive examination of the Software Development Life Cycle (SDLC) and its secure implementation through automation, integration, and adherence to security best practices. Participants will acquire practical experience in merging DevOps and DevSecOps methodologies to strengthen software security without compromising efficiency. Additionally, the curriculum addresses essential OWASP tools for threat modeling, SBOM integration, vulnerability tracking, and security testing within CI/CD pipelines.

DevSecOps Practitioner introduces a range of practices for advancing to a more comprehensive understanding of DevSecOps. Explore practical outcomes by finding the right mix of people, building processes to accelerate value, and comparing technological options available today. It is tailored for recently transformed organizations looking to enhance DevSecOps skills and awareness.

This world-class, cutting-edge, hands-on workshop immerses participants in the critical realities of modern CI/CD pipeline security. Designed for security professionals, DevOps engineers, and developers eager to master advanced pipeline breach defense, the training blends live attack simulations with industry-leading tools and practical defense techniques.

This guided, live training in Dobrogea (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 Dobrogea (online or onsite) is designed for DevOps engineers and developers who wish to utilize Java and Kubernetes (K8s) to create, build, test, debug, and deploy high-performance and scalable applications.

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

• Set up the required development environment to build Java applications.
• Understand the features and architecture of Kubernetes.
• Learn about the key concepts and tools for DevOps.
• Get a refresher on Java programming fundamentals.
• Containerize Java microservices using Docker.
• Build, scale, and deploy Java applications on Kubernetes.

Kubernetes serves as an open-source platform designed to automate every phase of the development lifecycle for containerized applications. Design patterns offer proven, iterative solutions to common challenges in software development and architecture. Meanwhile, Kubernetes extensions are instrumental in configuring and supporting the robust operation of Kubernetes clusters. By leveraging these design patterns and extensions, platform users can implement Continuous Integration and Continuous Deployment (CI/CD) practices while preserving the scalability and flexibility of their software applications.

This instructor-led live training, available either online or onsite, is tailored for developers and DevOps engineers looking to harness Kubernetes design patterns and extensions to build enterprise-grade applications on Kubernetes clusters.

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

• Provisioning a Kubernetes cluster and configuring essential DevOps tools.
• Gaining a solid understanding of the core concepts behind software design patterns and Kubernetes extensions.
• Effectively applying Kubernetes extensions and design patterns when working with the Kubernetes API.
• Creating custom Kubernetes resources and deploying dynamic controllers across a cluster.
• Securing and managing any Kubernetes environment using Kubernetes plugins.
• Integrating DevOps networking models into both current and future Kubernetes initiatives.

Format of the Course

• Interactive lectures and discussions.
• Extensive exercises and practical application.
• Hands-on implementation within a live lab environment.

Course Customization Options

• To request a customized training session for this course, please contact us to arrange.

This instructor-led, live training in Dobrogea (online or onsite) is aimed at engineers who wish to evaluate the approaches and tools available today to make an intelligent decision on the path forward in adopting MLOps within their organization.

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

• Install and configure various MLOps frameworks and tools.
• Assemble the right kind of team with the right skills for constructing and supporting an MLOps system.
• Prepare, validate and version data for use by ML models.
• Understand the components of an ML Pipeline and the tools needed to build one.
• Experiment with different machine learning frameworks and servers for deploying to production.
• Operationalize the entire Machine Learning process so that it's reproduceable and maintainable.

This practical, management-oriented DevOps course delivers a thorough grasp of contemporary software delivery practices by 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, spanning version control and CI/CD pipelines to containers, infrastructure automation, security integration, and reliability engineering.

The programme extends beyond technical concepts to concentrate on the managerial dimensions of DevOps adoption, such as organisational change, maturity assessment, performance measurement, and business value creation. Participants engage with real-world scenarios and their own projects to pinpoint improvement opportunities, evaluate current delivery practices, and develop actionable plans for implementing DevOps within their organisations.

This capstone course empowers participants to design, deploy, and manage a fully sovereign digital infrastructure stack from the ground up. By the conclusion of the training, students will have constructed a functional mini-organization utilizing exclusively self-hosted, open-source tools across identity, communication, productivity, development, security, AI, and monitoring domains—eliminating any dependence on Google, Microsoft, AWS, or proprietary SaaS solutions.

The SRE (Site Reliability Engineering) Foundation course introduces the core principles and practices that empower organizations to scale critical services in a reliable and cost-effective manner. Implementing a site-reliability approach demands organizational realignment, a renewed emphasis on engineering and automation, and the adoption of various new working paradigms.