DevOps Training in Taichung

This instructor-led, live training in Taichung (online or on-site) is designed for 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 Taichung (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 Taichung (online or onsite) is designed for advanced-level AI/ML engineers, data scientists, and tech innovators who aim to integrate AI capabilities into Make workflows to optimize and automate their 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 Taichung (online or onsite) is designed for advanced developers, system integrators, and technical operations teams aiming to improve their automation processes by integrating external APIs with Make.

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

• Comprehend Make’s API and learn how to extend its functionality.
• Leverage APIs to integrate third-party applications.
• Develop custom connectors for applications not natively supported.
• Apply advanced automation techniques using Make and APIs.

This instructor-led, live training in Taichung (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 Taichung (online or onsite) is designed for advanced developers and technical consultants who aim to develop customized automation solutions and extend n8n’s functionality to address particular organizational requirements.

Upon completion 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 Taichung (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 Taichung (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 Taichung (online or onsite) is designed for advanced-level professionals seeking to deploy fine-tuned models reliably and efficiently.

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

• Grasp the challenges associated with deploying fine-tuned models into production.
• Containerize and deploy models using tools such as Docker and Kubernetes.
• Implement effective monitoring and logging for deployed models.
• Optimize models for latency and scalability in real-world scenarios.

This instructor-led, live training in Taichung (online or onsite) is designed for intermediate-level professionals seeking to leverage Make for integrating various business applications, streamlining operations, and enhancing productivity.

Upon completing 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.
• Optimize and troubleshoot automated workflows.

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

Upon completing this training, participants will be capable of:

• Designing and implementing complex automation workflows using Zapier.
• Integrating AI models into business processes to gain predictive insights.
• Optimizing operations by automating tasks across multiple platforms.
• Monitoring and troubleshooting automated workflows to drive continuous improvement.

This instructor-led, live training in Taichung (online or onsite) is tailored for advanced participants who aim to deploy Apache Airflow in cloud environments, set up CI/CD pipelines, and implement solid 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 Taichung (online or onsite) is designed for advanced-level DevOps teams and IT architects who wish to leverage Kubiya AI to automate and optimize enterprise-level DevOps operations.

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

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

This instructor-led, live training in Taichung (online or onsite) is designed for intermediate-level data professionals aiming to use Make for building automated data pipelines and streamlining data synchronization processes.

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

• Establish automated data pipelines using Make.
• Integrate multiple 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 Taichung (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 Taichung (available 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.

Upon completing this training, participants will be capable of:

• Configuring Apache Airflow to orchestrate machine learning workflows.
• Automating tasks such as 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 production environments.

This instructor-led, live training in Taichung (online or onsite) is designed for intermediate DevOps professionals who aim to embed security into DevOps practices, emphasizing the automation of security checks and processes within CI/CD pipelines.

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

• Grasp 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 Taichung (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 Taichung (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 Taichung (online or onsite) targets advanced participants who aim to develop custom operators, sensors, and plugins within Apache Airflow, and seamlessly integrate them with existing data systems for enhanced automation and monitoring capabilities.

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

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

This instructor-led, live training in Taichung (online or onsite) is designed for advanced-level developers, automation specialists, and IT professionals who aim to master custom integrations and complex 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 workflows.
• Integrate Zapier with proprietary or less common applications.

This instructor-led, live training in Taichung (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 Taichung (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 Taichung (online or onsite) is tailored for intermediate-level marketing professionals aiming to automate repetitive tasks, effectively nurture leads, and optimize customer engagement through workflow automation.

Upon completing this training, participants will be able to:

• Leverage Make to automate marketing campaigns and lead nurturing workflows.
• Develop personalized customer journey maps using integrated platforms.
• Synchronize data across marketing tools such as Mailchimp, HubSpot, and social media networks.
• Monitor and analyze automated workflows to enhance campaign performance.
• Implement best practices for scalable marketing automation strategies.

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

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

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

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

Upon completing this training, participants will be capable of:

• Leveraging Make's advanced functionalities for workflow automation.
• Optimizing workflows through conditional logic, iterators, and error handling.
• Integrating multiple applications to achieve seamless automation.
• Monitoring and troubleshooting workflows to ensure maximum efficiency.
• Implementing best practices for scaling workflow automation solutions.

Apache Airflow serves as an open-source platform designed for crafting, scheduling, and overseeing workflows. With the advent of Airflow 2.x, organizations are empowered to orchestrate data pipelines on a large scale, seamlessly integrate with cloud services, and guarantee robust observability and security within production settings.

This instructor-led live training, available either online or onsite, targets data and DevOps professionals ranging from beginner to intermediate levels who aim to utilize Apache Airflow for building, automating, and scaling comprehensive end-to-end data pipelines.

Upon completion of this training, participants will gain the ability to:

• Install and configure Apache Airflow across various environments.
• Author, schedule, and monitor DAGs utilizing the TaskFlow API.
• Integrate Airflow with diverse data sources, cloud services, and machine learning workflows.
• Oversee ETL pipelines while ensuring data reliability.
• Secure and scale Airflow through the use of executors, queues, and Kubernetes.
• Implement observability measures and adhere to best practices for production deployments.

Course Format

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

Course Customization Options

• For those seeking customized training for this course, please contact us to make arrangements.

This instructor-led, live training in Taichung (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.
• Integrate Kubiya AI with existing DevOps tools.

This instructor-led, live training in Taichung (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:

• Design and manage workflows within Make.
• Connect various applications to streamline workflows.
• Automate routine tasks such as data synchronization, notifications, and file management.
• Leverage pre-built templates to create custom workflows.
• Troubleshoot and debug workflows effectively.

This instructor-led, live training (available online or onsite) is designed for beginner-level business professionals and IT enthusiasts who want to learn the fundamentals of n8n and leverage its latest features for smarter automation.

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

Delivered as an instructor-led live session (available online or onsite), this training targets seasoned DevOps and SRE professionals eager to master sophisticated SRE techniques and prepare for the DevOps Institute SRE Practitioner certification examination.

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

• Identifying and addressing common SRE anti-patterns.
• Defining and effectively managing SLIs, SLOs, and error budgets.
• Architecting secure, fault-tolerant, and highly reliable systems.
• Executing advanced strategies for observability, automation, and incident response.

Course Format

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

Course Customization Options

• To arrange customized training for this course, please reach out to us.

This instructor-led, live training in Taichung (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 Taichung (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 Taichung (online or onsite) is designed for DevOps engineers, developers, and SysOps administrators who wish to maximize the tools and features provided by the Ansible project to advance their organization's IT infrastructures and processes.

Participants can also take advantage of the opportunity to carry out complex Ansible implementations for large-scale applications while leveraging 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 a CI/CD approach.
• Execute better SysOps methods using Ansible's collaborative features for managing larger teams.
• Enhance DevOps task execution within the organization and optimize existing processes.
• Integrate Ansible with external platforms and leverage other Ansible tools for organizational advantage.

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

Participants will learn to architect scalable microservices, optimize container environments, and manage production workloads using Kubernetes. The curriculum spans advanced deployment techniques, GitOps-driven automation, and observability standards to guarantee system reliability and high performance.

A significant emphasis is placed on addressing real-world operational challenges, such as incident response, failure simulation, and root cause analysis. The programme concludes by integrating AI-powered tools to enhance troubleshooting capabilities and expedite operational decision-making.

Upon completion, participants will possess a clear understanding of how to build, deploy, monitor, and sustain resilient distributed systems within a Kubernetes-based ecosystem.

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

Learn 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, 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.

The course emphasizes the human dynamics of cultural change, equipping participants with the practices, methods, and tools necessary to engage stakeholders across the DevOps spectrum. Through real-life scenarios and case studies, participants will gain tangible takeaways to apply upon returning to their offices, such as mastering Value Stream Mapping.

In this instructor-led, live course in Taichung, participants will learn how to formulate the proper security strategy to face the DevOps security challenge.

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 seeking 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 Taichung (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 Taichung (online or onsite) is designed for engineers who wish to evaluate the current approaches and tools to make informed decisions regarding the adoption of MLOps within their organization.

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

• Install and configure various MLOps frameworks and tools.
• Assemble a team with the appropriate 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 Taichung (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 practical, management-oriented DevOps course delivers a thorough understanding of modern software delivery practices by integrating DevOps culture, processes, tools, and business strategy. Through a mix of presentations, demonstrations, hands-on labs, and workshops, participants will explore the entire DevOps lifecycle, covering version control, CI/CD pipelines, containers, infrastructure automation, security integration, and reliability engineering.

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

This capstone course instructs participants on how to design, deploy, and manage a comprehensive sovereign digital infrastructure stack from the ground up. By the conclusion of the course, students will have constructed a functional mini-organization utilizing exclusively self-hosted, open-source tools encompassing identity management, communication, productivity, development environments, security protocols, AI capabilities, and monitoring systems—all without dependence on Google, Microsoft, AWS, or proprietary SaaS solutions.

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