Available either online or on-site, these instructor-led live DevOps training courses focus on practical, hands-on learning to help you choose, deploy, and oversee the essential tools and processes for streamlining your software development workflows.
We offer DevOps training in two formats: "online live training" (also known as "remote live training") and "onsite live training". Remote sessions are conducted via an interactive remote desktop, while on-site training takes place directly at your customer premises in Prague or within NobleProg’s corporate training centers 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 instructor-led, live training in Prague (online or onsite) is designed for intermediate-level remote teams, project managers, and HR professionals who wish to automate collaboration and task management processes using Make.
Upon completion 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 through automation.
This instructor-led, live training in Prague (online or onsite) is tailored for advanced-level AI/ML engineers, data scientists, and tech innovators who seek to integrate AI capabilities into Make workflows to optimize and automate business 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 Prague (online or onsite) is aimed at 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 Prague (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 Prague (online or onsite) is aimed at advanced-level developers and technical consultants who wish to create tailored automation solutions and expand n8n’s functionality to address specific organizational needs.
By the end of this training, participants will be able to:
Set up a development environment for building custom nodes in n8n.
Develop custom nodes to handle specific business use cases.
Test and debug custom nodes in a controlled environment.
Deploy and maintain custom nodes for production use.
This instructor-led, live training in Prague (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 Prague (online or onsite) is designed for advanced developers and data engineers who aim to master advanced workflow automation techniques using n8n.
Upon completion of this training, participants will be capable of:
Designing and implementing advanced workflows featuring conditional logic and branching paths.
Integrating with complex APIs and third-party systems.
Developing and deploying custom nodes to extend n8n’s capabilities.
Optimizing workflows for scalability and performance in data-intensive environments.
This instructor-led, live training in Prague (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 in Prague (online or onsite) is designed for intermediate-level professionals who want to leverage Make to connect various business applications, streamline operations, and improve productivity.
Upon completion of this training, participants will be able to:
Establish automated workflows between different business applications.
Utilize Make to connect SaaS tools such as Google Workspace, Slack, Trello, and Stripe.
Design and implement multi-step workflows without writing code.
This instructor-led, live training in Prague (online or onsite) is aimed at advanced-level business professionals and automation engineers who wish to leverage Zapier and AI integrations to scale operations efficiently.
By the end 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 Prague (online or onsite) is designed for advanced participants aiming to deploy Apache Airflow in cloud settings, configure CI/CD pipelines, and implement strong monitoring and logging practices.
By the end 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 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 designed for intermediate-level data professionals aiming to leverage Make for constructing automated data pipelines and streamlining synchronization processes.
Upon completion of this training, participants will be capable of:
Establishing automated data pipelines using Make.
Connecting various data sources, such as databases, CRMs, and cloud applications.
Executing real-time data synchronization and transformation.
Optimizing and resolving issues within automation workflows.
This instructor-led, live training in Prague (available online or onsite) is designed for e-commerce professionals at an intermediate level who aim to automate order processing, payment handling, and customer support using Zapier.
Upon completion of this training, participants will be capable of:
Automating the order processing and fulfillment stages.
Synchronizing payment information with accounting software.
Improving customer support efficiency through automation.
This instructor-led, live training in Prague (online or onsite) is designed for intermediate-level participants seeking 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:
Configure Apache Airflow for orchestrating machine learning workflows.
Automate tasks related to data preprocessing, model training, and validation.
Integrate Airflow with various machine learning frameworks and tools.
Deploy machine learning models through automated pipelines.
Monitor and optimize machine learning workflows in a production environment.
This instructor-led, live training in Prague (online or onsite) is designed for intermediate-level DevOps professionals seeking to embed security into their DevOps workflows, with a focus on automating security checks and processes within a CI/CD pipeline.
Upon completion of this training, participants will be able to:
Understand the core principles of integrating security into the DevOps process.
Automate security checks using Jenkins and integrate tools such as SonarQube for code analysis and vulnerability scanning.
Deploy secure applications using Kubernetes.
Ensure secure communication between microservices via RabbitMQ, PostgreSQL, and MongoDB.
Establish continuous monitoring and auditing to maintain compliance and security across deployments.
This instructor-led, live training in Prague (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 Prague (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 Prague (available online or on-site) targets advanced-level participants who aim to create custom operators, sensors, and plugins in Apache Airflow and integrate them with existing 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 Prague (available online or onsite) is tailored for advanced developers, automation specialists, and IT professionals who wish to achieve mastery in custom integrations and multi-step automations using Zapier.
By the conclusion of this training, participants will be capable of:
Creating custom Zapier integrations through the use of APIs and webhooks.
Designing and managing complex multi-step workflows.
Optimizing and debugging advanced automation workflows.
Integrating Zapier with proprietary or less common applications.
This instructor-led, live training in Prague (online or onsite) is aimed at developers and IT professionals of all skill levels who wish to automate tasks and processes using AI without writing extensive code.
By the end of this training, participants will be able to:
Design and implement complex workflows using n8n's visual programming interface.
Integrate AI capabilities into workflows using LangChain.
Build custom chatbots and virtual assistants for various use cases.
Perform advanced data analysis and processing with AI agents.
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) targets intermediate-level marketing professionals who wish to automate repetitive tasks, effectively nurture leads, and optimize customer engagement through workflow automation.
Upon completing this training, participants will be equipped to:
Leverage Make to automate marketing campaigns and lead nurturing workflows.
Develop personalized customer journey maps by integrating various platforms.
Synchronize data across marketing tools such as Mailchimp, HubSpot, and social media channels.
Monitor and analyze automated workflows to improve campaign performance.
Implement best practices for scalable marketing automation strategies.
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) targets intermediate to advanced developers and AI enthusiasts eager to build sophisticated AI workflows in n8n.
Upon completing this training, participants will be able to:
Grasp the integration of AI services with n8n workflows.
Deploy AI-driven decision-making within automated processes.
Develop custom AI nodes and utilize pre-built AI nodes in n8n.
Evaluate and enhance the performance of AI workflows.
This instructor-led, live training in Prague (online or onsite) is designed for intermediate professionals aiming to create and enhance automated workflows using Zapier for business operations.
Upon completion of this training, participants will be equipped to:
Design and deploy effective Zapier workflows.
Connect multiple business applications for seamless automation.
Fine-tune Zap performance and resolve common technical issues.
Expand workflow automation to address evolving business requirements.
This instructor-led, live training in Prague (available online or on-site) is designed for intermediate-level participants who aim to optimize workflow performance, manage complex dependencies, and scale Apache Airflow deployments for larger datasets and enterprise use cases.
By the end of this training, participants will be able to:
Optimize Apache Airflow workflows for improved performance and reliability.
Manage and troubleshoot complex workflow dependencies.
Leverage advanced Airflow features, including custom operators and sensors.
Scale Apache Airflow to handle larger data sets and distributed systems.
Implement best practices for monitoring, logging, and security in Airflow environments.
This instructor-led, live training in Prague (online or onsite) is aimed at intermediate-level IT professionals and automation engineers who wish to master advanced features of Make, optimize complex workflows, and handle error management effectively.
By the end of this training, participants will be able to:
Utilize advanced features of Make for workflow automation.
Optimize workflows using conditional logic, iterators, and error handling.
Integrate multiple applications for seamless automation.
Monitor and troubleshoot workflows for maximum efficiency.
Implement best practices for scaling workflow automation solutions.
This live, instructor-led session in Prague explores Apache Airflow 2.x for the construction, automation, and scaling of data pipelines. Learners will master the creation of DAGs, integration of cloud services, and the implementation of observability, security, and Kubernetes-based scaling to maintain robust production environments.
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.
This instructor-led, live training in Prague (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.
This instructor-led, live training (available online or on-site) is designed for beginner-level business professionals and IT enthusiasts who aim to learn the basics of n8n and leverage its latest features for more intelligent automation.
This SRE Practitioner Certification Preparation course in Prague delves into advanced Site Reliability Engineering techniques, adhering to the official DevOps Institute syllabus. Learners will gain proficiency in identifying anti-patterns, managing SLOs, and designing secure systems to secure certification success.
This instructor-led, live training in Prague (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.
This instructor-led, live training in Prague (online or onsite) is designed for 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 AIOps Foundation training located in Prague provides a comprehensive look at implementing AI in modern IT operations. It addresses core principles, machine learning applications, and organizational challenges, equipping professionals to obtain the globally recognized AIOps Foundation certification and advance their careers.
This instructor-led live training in Prague (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 intensive 7-day programme offers a practical, in-depth exploration into the design, deployment, and operation of cloud-native applications using contemporary DevOps methodologies.
Attendees will discover how to architect scalable microservices, refine container environments, and manage production workloads effectively with Kubernetes. The curriculum includes advanced deployment techniques, GitOps-driven automation, and observability strategies to guarantee system reliability and high performance.
Significant emphasis is placed on addressing real-world operational challenges, such as incident response, failure simulation, and root cause analysis. The course finishes by leveraging AI-powered tools to aid in troubleshooting and expedite operational decision-making processes.
Upon completion of this training, participants will possess a solid understanding of how to construct, deploy, monitor, and sustain resilient distributed systems within a Kubernetes-based ecosystem.
Discover what DevOps Engineering is, why it is important, and how to engineer DevOps for success.
The course begins with a brief review of foundational DevOps principles before transitioning into implementation. Designed from an engineering perspective, it covers topics such as DevOps in relation to other frameworks and technologies, application design practices, continuous integration, continuous delivery and deployment, continuous testing, elastic infrastructures, monitoring, metrics, observability, governance, the human aspects of DevOps, and future trends in DevOps engineering.
The DevOps Foundation course provides a foundational understanding of essential DevOps terminology to ensure everyone uses the same language, while highlighting the benefits of DevOps to support organizational success.
This course emphasizes the human aspects of cultural change, providing participants with practical methods, techniques, and tools to engage stakeholders across the DevOps spectrum. Through real-world scenarios and case studies, participants gain actionable insights, such as mastering Value Stream Mapping, to apply immediately upon returning to their roles.
In this instructor-led, live course in Prague, participants will learn how to develop an effective security strategy to address DevOps security challenges.
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. Tailored for recently transformed organizations looking to enhance DevSecOps skills and awareness.
This premium, advanced, hands-on workshop engages participants in the essential complexities of contemporary CI/CD pipeline security. Tailored for security specialists, DevOps engineers, and developers seeking to excel in sophisticated pipeline breach mitigation, the course combines live attack simulations with industry-standard tools and actionable defense strategies.
This instructor-led, live training in Prague (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 Prague (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.
Streamline repetitive tasks between different applications without requiring coding skills. This intensive two-day program explores the capabilities of Zapier, Make.com, and n8n, incorporating AI-powered steps, autonomous AI agents, human-in-the-loop approvals, robust error management, and operational best practices. Participants will design multiple automated processes, culminating in the creation of a solution tailored to their specific daily professional routines.
This live, instructor-led session in Prague is tailored for specialist users, operations teams, administrative assistants, and citizen developers seeking to optimize recurring cross-tool workflows.
Upon completion of this training, participants will be equipped to:
Grasp core concepts such as triggers, actions, data flow, and field mapping
Differentiate between Zapier, Make.com, and n8n based on their respective purposes, pricing models, hosting environments, and data privacy standards
Develop initial automated workflows across all three platforms
Integrate AI components for data classification, summarization, and extraction
Implement AI agent steps that utilize tools and require human verification
Establish error handling protocols, monitoring mechanisms, and documentation for operational stability
Automate a personalized workflow derived from their everyday job responsibilities
Course Structure
Duration: Two days, with seven hours of instruction per day
Interactive learning environment featuring trainer guidance, group discussions, and practical exercises focused on participants' real-world use cases
Day 1 Deliverable: Each attendee will have a functional Zap and a Make.com scenario incorporating an AI step and error handling logic
Day 2 Deliverable: Each attendee will possess an n8n workflow featuring an AI agent with approval capabilities, alongside a custom automation for their daily tasks
Customization Possibilities
To request a tailored version of this training, please reach out to us to discuss your specific requirements.
This instructor-led, live training in Prague (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.
Delivered live by an instructor in Prague, this training targets intermediate-level professionals looking to automate business tasks and create their first AI agent via Make.
By the conclusion of the session, attendees will be able to:
Develop no-code workflows in Make utilizing triggers and webhooks.
Link AI agents to specific data points within a processing flow.
Automate a practical business process from start to finish, incorporating error management and monitoring.
This hands-on course focused on management provides a thorough understanding of contemporary software delivery practices, integrating DevOps culture, processes, tools, and business strategy. Through a mix of presentations, demonstrations, practical labs, and workshops, participants will explore the entire DevOps lifecycle, spanning version control, CI/CD pipelines, containers, infrastructure automation, security integration, and reliability engineering.
The programme extends beyond technical concepts by emphasizing the managerial dimensions of DevOps adoption, such as organizational change, maturity assessment, performance measurement, and the creation of business value. Participants will engage with real-world scenarios and their own projects to pinpoint improvement opportunities, evaluate current delivery practices, and develop practical action plans for implementing DevOps within their organizations.
This capstone course guides participants through the design, deployment, and operation of a fully sovereign digital infrastructure stack from the ground up. Upon completion, students will have established a functioning mini-organization utilizing exclusively self-hosted, open-source tools covering identity, communication, productivity, development, security, AI, and monitoring—all independent of Google, Microsoft, AWS, or proprietary SaaS providers.
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Testimonials (6)
Considerations about privacy and policy
Angelo Stefano Soglia - Parkino srl
Course - Claude AI for Workflow Automation and Productivity
understand basic concept, being more realistic , clarify our needs
ARDENTI Eric - NATO
Course - AI-Powered Automation: From No-Code Workflows to Autonomous Agents
the overall concept of DevOps/DevSecOps is not a team but a culture, a mind set
Mpho Mashele - South Africa Reserve Bank
Course - DevOps and Platform Engineering: A Collaborative Approach
CI/CD Best Practices (gitflow and gitops), Application strategies, idempotency and drift, remote state management, Pod Disruption Budgets and Best Practices
McKayla Fusco - NSWC Dahlgren Division - DNA
Course - Resilient Architecture: Microservices, Containers, and CI/CD
lost of hands on excercises (labs)
Seba - Robert Bosch Sp. z o.o
Course - OpenShift 4 for Developers
the Automation and speaking to different software packages
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