DevOps Training in Turin

This instructor-led, live training in Turin (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, delivered Turin (online or onsite), targets advanced-level AI/ML engineers, data scientists, and tech innovators who aim to integrate AI capabilities into Make workflows to optimize and automate operational processes.

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

• Comprehend the role of AI and machine learning 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 Turin (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 Turin (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 Turin (online or onsite) is designed for advanced developers and technical consultants who wish to create tailored automation solutions and expand n8n’s functionality to address specific organizational needs.

Upon completing this training, participants will be able to:

• Configure a development environment for creating custom nodes in n8n.
• Build custom nodes tailored to specific business scenarios.
• Test and debug custom nodes within a controlled setting.
• Deploy and sustain custom nodes for production environments.

This instructor-led, live training in Turin (online or onsite) is aimed at advanced-level DevOps professionals who wish 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 Turin (online or onsite) targets 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 executing advanced workflows featuring conditional logic and branching paths.
• Integrating seamlessly with complex APIs and third-party systems.
• Developing and deploying custom nodes to extend n8n’s core functionality.
• Optimizing workflows for superior scalability and efficiency in data-intensive environments.

This instructor-led, live training in Turin (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 Turin (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 in Turin (online or onsite) is designed for advanced business professionals and automation engineers who wish to leverage Zapier and AI integrations to scale operations efficiently. <\/p>

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This instructor-led, live training in Turin (online or onsite) targets advanced-level participants who aim 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 instructor-led, live training in Turin (online or in-person) is designed for advanced-level DevOps teams and IT architects who want to utilize 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 contexts.
• Connect Kubiya AI with CI/CD tools within enterprise DevOps environments.
• Boost DevOps automation through AI-powered workflows.
• Maintain security and compliance standards in AI-driven DevOps processes.

This instructor-led, live training in Turin (online or onsite) is designed for intermediate-level data professionals who aim to utilize Make to construct automated data pipelines and streamline data synchronization processes.

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

• Configure automated data pipelines using Make.
• Connect a variety of data sources, such as databases, CRMs, and cloud applications.
• Execute real-time data synchronization and transformation.
• Optimize and resolve issues within automation workflows.

This instructor-led, live training in Turin (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 Turin (online or onsite) is designed for intermediate-level participants who aim to automate and manage machine learning workflows, encompassing model training, validation, and deployment via Apache Airflow.

Upon completing this training, participants will be capable of:

• Configuring Apache Airflow to orchestrate machine learning workflows.
• Automating tasks related to data preprocessing, model training, and validation.
• Integrating Airflow with various machine learning frameworks and tools.
• Deploying machine learning models through automated pipelines.
• Monitoring and optimizing machine learning workflows in a production environment.

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

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

• Understand 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 Turin (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:

• Connect eCommerce platforms such as Shopify, WooCommerce, and Etsy with Make.
• Automate inventory updates and order tracking across various platforms.
• Establish automated workflows for customer communication and support.
• Optimize sales and inventory management through advanced automation strategies.

This instructor-led live training in Turin (online or onsite) is designed for intermediate marketers aiming 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 Turin (online or onsite) targets advanced-level participants who wish to build 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 Turin (online or onsite) is tailored for advanced developers, automation specialists, and IT professionals seeking to master custom integrations and multi-step automations in Zapier.

Upon completing this training, participants will be capable of:

• Developing custom Zapier integrations using APIs and webhooks.
• Designing and managing intricate multi-step workflows.
• Optimizing and troubleshooting advanced automation processes.
• Connecting Zapier with proprietary or niche applications.

This instructor-led, live training in Turin (online or onsite) is designed for developers and IT professionals of all skill levels who wish to automate tasks and processes using AI without writing extensive code.

Upon completing this training, participants will be able to:

• Design and implement complex workflows using n8n's visual programming interface.
• Incorporate AI capabilities into workflows using LangChain.
• Develop custom chatbots and virtual assistants for diverse use cases.
• Conduct advanced data analysis and processing using AI agents.

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

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

• Understand the fundamentals of integrating AI into DevOps pipelines.
• Implement Kubiya AI within popular CI/CD tools such as Jenkins and GitLab CI.
• Automate CI/CD pipeline tasks with Kubiya AI.
• Monitor and manage CI/CD pipelines using AI for proactive problem detection.

This instructor-led, live training in Turin (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 in Turin (online or onsite) targets advanced 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 Turin (online or onsite) targets intermediate to advanced developers and AI enthusiasts who wish to create advanced AI workflows in n8n.

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

• Understand the integration of AI services with n8n workflows.
• Implement AI-driven decision-making in automated processes.
• Create custom AI nodes and use pre-built AI nodes in n8n.
• Analyze and optimize the performance of AI workflows.

This instructor-led, live training in Turin (online or onsite) is aimed at intermediate-level professionals who wish 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 Turin (online or on-site) is aimed at intermediate-level participants who wish to optimize workflow performance, handle 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 better performance and reliability.
• Manage and troubleshoot complex workflow dependencies.
• Leverage advanced Airflow features, including custom operators and sensors.
• Scale Apache Airflow for handling larger data sets and distributed systems.
• Implement best practices for monitoring, logging, and security in Airflow environments.

This instructor-led, live training in Turin (online or onsite) is designed for intermediate IT professionals and automation engineers who wish to master Make's advanced features, 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.

Apache Airflow is an open-source platform designed for creating, scheduling, and monitoring 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 environments.

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

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

• Install and configure Apache Airflow across various environments.
• Create, schedule, and monitor DAGs using the TaskFlow API.
• Integrate Airflow with data sources, cloud services, and ML workflows.
• Manage ETL pipelines and ensure data reliability.
• Secure and scale Airflow using executors, queues, and Kubernetes.
• Apply observability and best practices for production deployments.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

This instructor-led, live training in Turin (online or on-site) is designed for entry-level DevOps professionals and IT managers who want to explore the capabilities of Kubiya AI and integrate it with their existing tools.

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

• Understand the features and benefits of Kubiya AI.
• Set up and configure Kubiya AI in their environment.
• Implement basic use cases for Kubiya AI in DevOps.
• Integrate Kubiya AI with existing DevOps tools.

This instructor-led live training in Turin (online or onsite) targets 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 course is an in-depth training program designed to cover advanced Site Reliability Engineering methodologies, fully aligned with the official DevOps Institute curriculum, to help participants achieve certification success.

This instructor-led live training, available both online and on-site, targets seasoned DevOps and SRE professionals who aim to master sophisticated SRE techniques and prepare for the DevOps Institute SRE Practitioner certification exam.

Upon completing this training, participants will be able to:

• Identify and rectify common SRE anti-patterns.
• Effectively define and manage Service Level Indicators (SLIs), Service Level Objectives (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 practice sessions.
• Hands-on implementation within a live-lab environment.

Customization Options for the Course

• To request a tailored training session for this course, please contact us to make arrangements.

This instructor-led, live training in Turin (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.
• 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 Turin (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 Turin (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 thorough, practical exploration into the design, deployment, and operation of cloud-native applications through contemporary DevOps methodologies.

Attendees will delve into crafting scalable microservices architectures, optimizing containerized environments, and managing production workloads via Kubernetes. The curriculum addresses advanced deployment techniques, GitOps-driven automation, and observability strategies to guarantee system reliability and optimal performance.

The programme places significant emphasis on tackling real-world operational hurdles, such as incident management, failure simulation, and root cause analysis. It concludes with the integration of AI-driven tools to streamline troubleshooting and expedite operational decisions.

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

This course is tailored for professionals involved in designing, implementing, and managing DevOps deployment pipelines and toolchains that facilitate Continuous Integration, Continuous Delivery, Continuous Testing, and, where applicable, Continuous Deployment. It emphasizes the foundational processes, metrics, APIs, and cultural dynamics integral to Continuous Delivery

Discover how to optimize testing processes to execute tests faster while maintaining high quality and achieving consistent, stable results.

Learn what DevOps Engineering is, why it is important, and how to engineer DevOps for success.

The course begins with a brief review of DevOps foundational principles before transitioning into the implementation of DevOps. Designed from an engineering perspective, it covers topics such as DevOps in relation to other frameworks, technologies, application design practices, continuous integration practices, continuous delivery and deployment, continuous testing, elastic infrastructures, monitoring, metrics, observability, governance, human aspects, and future trends of 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 aspects of cultural change, providing participants with practices, methods, and tools to engage stakeholders throughout the DevOps spectrum using real-life scenarios and case studies. Upon completion, participants will gain tangible takeaways to apply in their workplace, such as a deep understanding of Value Stream Mapping.

In this instructor-led live course held in Turin, participants will acquire the skills to formulate a comprehensive security strategy to tackle the challenges of DevOps security.

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

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 premier, state-of-the-art, practical workshop immerses participants in the essential realities of securing modern CI/CD pipelines. Tailored for security experts, DevOps engineers, and developers keen on mastering advanced pipeline breach defense, the training combines live attack simulations with industry-leading tools and actionable defense strategies.

This instructor-led, live training in Turin (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 Turin (online or onsite) is aimed at DevOps engineers and developers who wish to use 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 necessary 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.

This instructor-led, live training in Turin (online or onsite) is designed for engineers who want to assess the current approaches and tools available, enabling them to make informed decisions about adopting MLOps within their organizations.

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

• Install and configure various MLOps frameworks and tools.
• Build a team with the appropriate skills to construct and support an MLOps system.
• Prepare, validate, and version data for use by ML models.
• Understand the components of an ML Pipeline and the tools required to build one.
• Experiment with different machine learning frameworks and servers for production deployment.
• Operationalize the entire Machine Learning process to ensure it is reproducible and maintainable.

This hands-on, management-oriented DevOps course offers 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, ranging from version control and CI/CD pipelines to 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 actionable plans for implementing DevOps within their organizations.

This capstone course equips participants with the skills to design, deploy, and manage a complete sovereign digital infrastructure stack from the ground up. Upon completion, students will have assembled a functional mini-organization utilizing exclusively self-hosted, open-source tools covering identity, communication, productivity, development, security, AI, and monitoring—entirely independent of Google, Microsoft, AWS, or proprietary SaaS providers.

The SRE (Site Reliability Engineering) Foundation course provides an introduction to the fundamental principles and practices that empower organizations to scale critical services reliably and economically. Implementing a site-reliability approach necessitates organizational realignment, a heightened focus on engineering and automation, and the adoption of various new operational paradigms.