DevOps Training in Tours

This instructor-led, live training in Tours (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 Tours (online or onsite) is aimed at intermediate-level to advanced-level DevOps engineers and IT operations staff who wish to leverage n8n for automating, monitoring, and optimizing CI/CD workflows.

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

• Set up and configure n8n for DevOps automation.
• Integrate n8n with CI/CD tools like Jenkins, GitLab, and GitHub Actions.
• Automate build, test, and deployment workflows using n8n.
• Monitor and troubleshoot CI/CD pipelines with n8n dashboards.
• Enhance DevOps workflows with custom n8n nodes and scripts.

This instructor-led, live training in Tours (online or onsite) is designed for 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 Tours (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 Tours (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 Tours (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 Tours (online or onsite) is designed for advanced DevOps professionals seeking to automate CI/CD pipelines, infrastructure monitoring, and cloud deployments using Make.

Upon completing this training, participants will be equipped to:

• Automate CI/CD workflows by integrating Make with Jenkins, GitHub, and Docker.
• Oversee infrastructure automation for provisioning and monitoring cloud resources.
• Implement efficient workflow automation for code deployment, testing, and rollback strategies.
• Enhance infrastructure orchestration through Make’s advanced integrations.

This instructor-led, live training in Tours (online or onsite) is aimed at advanced-level developers and data engineers who wish to master advanced workflow automation techniques using n8n.

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

• Create and implement advanced workflows with conditional logic and branching.
• Integrate with complex APIs and third-party systems.
• Develop and deploy custom nodes to expand n8n’s functionality.
• Optimize workflows for scalability and efficiency in data-heavy environments.

This instructor-led live training in Tours (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 Tours (online or onsite) is aimed at intermediate-level professionals who wish to leverage Make for integrating various business applications, streamlining operations, and improving 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, held in Tours (either online or onsite), is designed for advanced business professionals and automation engineers who wish to utilize Zapier and AI integrations to efficiently scale their operations.

Upon completing this training, participants will be able to:

• Design and deploy complex automation workflows using Zapier.
• Incorporate AI models into business processes to gain predictive insights.
• Enhance operational efficiency by automating tasks across multiple platforms.
• Monitor and troubleshoot automated workflows to drive continuous improvement.

This instructor-led live training in Tours (online or onsite) is aimed at advanced-level participants who wish to deploy Apache Airflow in cloud environments, set up CI/CD pipelines, and implement robust 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 guided, live training in Tours (online or on-site) targets advanced DevOps teams and IT architects who wish to use Kubiya AI to automate and optimize enterprise 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 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 Tours (online or onsite) targets intermediate-level data professionals who wish to use 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 Tours (online or onsite) is designed for intermediate-level e-commerce professionals seeking to automate order processing, payments, and customer support using Zapier.

Upon completing 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, held in Tours (online or onsite), is designed for 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 Tours (online or onsite) is designed for intermediate-level DevOps professionals who want to incorporate security into their DevOps practices, focusing on automating security checks and processes within a CI/CD pipeline.

By the end 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 leverage tools such as SonarQube for code analysis and vulnerability scanning.
• Deploy secure applications using Kubernetes.
• Facilitate secure communication between microservices through RabbitMQ, PostgreSQL, and MongoDB.
• Establish continuous monitoring and auditing to ensure compliance and robust security across all deployments.

This instructor-led, live training in Tours (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 live, instructor-led training in Tours (online or on-site) is designed for intermediate-level marketers looking to automate lead generation, email campaigns, and customer follow-ups using Zapier.

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

• Grasp Zapier’s role in marketing automation.
• Configure 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 Tours (online or onsite) is targeted at advanced participants seeking to build custom operators, sensors, and plugins within Apache Airflow, and to integrate these components with existing data systems for enhanced automation and monitoring capabilities.

Upon completion 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 Tours (online or onsite) is designed for advanced developers, automation experts, and IT professionals who aim to master custom integrations and multi-step automations within Zapier.

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

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

This instructor-led, live training in Tours (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 Tours (online or onsite) is designed for intermediate-level DevOps engineers and CI/CD managers looking to upgrade their pipelines with AI automation via Kubiya AI.

Upon completing this training, participants will be capable of:

• Grasping the fundamentals of integrating AI into DevOps pipelines.
• Deploying Kubiya AI within widely used CI/CD tools like Jenkins and GitLab CI.
• Automating CI/CD pipeline tasks using Kubiya AI.
• Monitoring and overseeing CI/CD pipelines with AI to enable proactive problem detection.

This instructor-led, live training in Tours (online or onsite) is designed for 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 in Tours (online or onsite) targets advanced-level DevOps engineers and automation specialists who aim to deepen their mastery of Kubiya AI and harness its full potential for large-scale operations.

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

• Automate intricate workflows using Kubiya AI.
• Customize AI responses and operational actions.
• Scale DevOps operations effectively with Kubiya AI.
• Troubleshoot and optimize Kubiya AI implementations.
• Understand and implement robust security and compliance measures.
• Integrate Kubiya AI with advanced CI/CD tools and supplementary cloud services.
• Establish performance monitoring and generate custom reports.

This instructor-led, live training in Tours (online or onsite) is designed for intermediate to advanced developers and AI enthusiasts aiming to build sophisticated AI workflows in n8n.

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

• Grasp the integration of AI services with n8n workflows.
• Apply 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 Tours (online or onsite) is designed for intermediate professionals aiming to create and optimize automated workflows using Zapier for business operations.

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

• Create and deploy efficient Zapier workflows.
• Connect multiple business applications for seamless automation.
• Enhance Zap performance and resolve common technical issues.
• Expand workflow automation capabilities to align with business goals.

This instructor-led, live training in Tours (online or on-site) targets intermediate-level participants seeking to optimize workflow performance, manage complex dependencies, and scale Apache Airflow deployments for larger datasets and enterprise use cases.

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

• Optimize Apache Airflow workflows to enhance 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 Tours (online or onsite) targets intermediate IT professionals and automation engineers seeking to master Make's advanced features, optimize complex workflows, and effectively manage errors.

Upon completing 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 for seamless automation.
• Monitor and troubleshoot workflows to ensure maximum efficiency.
• Implement best practices for scaling workflow automation solutions.

Apache Airflow is an open-source platform designed for creating, scheduling, and overseeing workflows. With the release of Airflow 2.x, organizations can orchestrate large-scale data pipelines, integrate with cloud services, and ensure robust observability and security in production settings.

This instructor-led live training (available online or on-site) is tailored for data and DevOps professionals ranging from beginner to intermediate levels who aim to leverage Apache Airflow to build, automate, and scale end-to-end data pipelines.

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

• Installing and configuring Apache Airflow across various environments.
• Creating, scheduling, and monitoring DAGs using the TaskFlow API.
• Integrating Airflow with data sources, cloud services, and ML workflows.
• Managing ETL pipelines and ensuring data reliability.
• Securing and scaling Airflow using executors, queues, and Kubernetes.
• Applying observability and best practices for production deployments.

Course Format

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

Course Customization Options

• For personalized training requests, please contact us to arrange.

This instructor-led, live training in Tours (online or onsite) targets beginner-level DevOps professionals and IT managers seeking to explore Kubiya AI's capabilities and integrate them with their current tools.

Upon completing this training, participants will be able to:

• Understand the features and advantages of Kubiya AI.
• Deploy and configure Kubiya AI within their environment.
• Apply fundamental Kubiya AI use cases in DevOps scenarios.
• Connect Kubiya AI with existing DevOps tooling.

This instructor-led, live training in Tours (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.

This instructor-led, live training (online or onsite) is aimed at beginner-level business professionals and IT enthusiasts who wish to learn the basics of n8n and make use of its latest features for more intelligent automation.

The SRE Practitioner Certification Preparation course is a thorough training program that delves into advanced Site Reliability Engineering practices, fully aligned with the official DevOps Institute syllabus, to equip participants for certification success.

Delivered as instructor-led live training, available online or on-site, this program targets experienced DevOps and SRE professionals looking to master advanced SRE methodologies and prepare for the DevOps Institute SRE Practitioner certification exam.

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

• Identify and rectify common SRE anti-patterns.
• Define and effectively manage SLIs, SLOs, and error budgets.
• Design systems that are secure, fault-tolerant, and highly reliable.
• Implement sophisticated observability, automation, and incident response strategies.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practice sessions.
• Hands-on implementation within a live laboratory environment.

Customization Options

• For customized training requests, please contact us to make arrangements.

This instructor-led, live training in Tours (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:

• Grasp the fundamentals of Zapier and its automation capabilities.
• Configure and set up Zaps to streamline tasks.
• Connect popular business tools with Zapier.
• Manage and refine automated workflows.

This instructor-led, live training in Tours (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 Tours (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 seven-day program offers a comprehensive, hands-on journey into designing, deploying, and managing cloud-native applications through modern DevOps practices.

Participants will learn how to design scalable microservices architectures, optimize container environments, and manage production workloads using Kubernetes. The course covers advanced deployment strategies, GitOps-based automation, and observability techniques to ensure system reliability and performance.

A strong emphasis is placed on real-world operational challenges, including incident response, failure simulation, and root cause analysis. The program concludes with the use of AI-powered tools to support troubleshooting and accelerate operational decision-making.

By the end of the training, participants will have a clear understanding of how to build, deploy, monitor, and maintain resilient distributed systems in a Kubernetes-based environment.

Learn how to optimize testing to test faster while maintaining high quality and achieving consistent, stable results.

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

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

The DevOps Foundation course provides a baseline understanding of key DevOps terminology to ensure everyone is talking the same language and highlights the benefits of DevOps to support organizational success.

This course emphasizes the human dynamics of cultural change and provides participants with practical strategies, methods, and tools to engage stakeholders throughout the DevOps ecosystem. Utilizing real-world scenarios and case studies, the curriculum ensures that upon completion, learners gain tangible assets to apply in their workplaces, such as proficiency in Value Stream Mapping.

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

The DevSecOps Practitioner course 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 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 instructor-led, live training in Tours (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 Tours (online or onsite) is designed for engineers who wish to evaluate the current approaches and tools available, helping them make informed decisions about the future adoption of MLOps within their organizations.

Upon completing 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 reproducible and maintainable.

This instructor-led, live training in Tours (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 combination of lectures, 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.

Going beyond technical concepts, the programme emphasizes the managerial dimensions of adopting DevOps, 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 areas for improvement, evaluate current delivery practices, and develop practical action plans for implementing DevOps within their organizations.

This capstone course teaches participants to design, deploy, and operate a complete sovereign digital infrastructure stack from the ground up. By the end of the course, students will have built a functioning mini-organization using only self-hosted, open-source tools: identity, communication, productivity, development, security, AI, and monitoring - all without reliance on Google, Microsoft, AWS, or proprietary SaaS.

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