Seoul - Gran Seoul

Jongno-gu, Tower 1, Gran Seoul, 33 Jong-ro, Spaces Gran Seoul, 7F, Seoul, korea, 01359

Gran Seoul is located on the 7th floor of 24-storey Gran Seoul Tower. The location is just a stone's throw away from Gwanghwamun, the largest gate of Gyeongbukgung Palace which is one of the most popular tourist attractions and national landmark in the heart of Seoul. Spaces Gran Seoul can be conveniently accessed by public transportation with Kwanghwamoon subway station located just 500 meters away and only a few minutes’ walk to Jonggak subway station. Also located nearby and within 15 minutes ride is Seoul Station where five lines of bullet train, subway, and airport train are started. The Gran Seoul Tower is a grade-A commercial building combining office space, world class hotel, department store, major companies, finance enterprises, government offices and banks. Surrounded by historical and cultural facilities symbolizing Seoul’s pride, Gran Seoul is an ideal workspace for all businesses from start-ups to large international companies looking for established business location in the heart of Seoul's CBD.

Seoul Center 1

Jung-gu, 26, Eulji-ro 5-gil, 27/F, . West Center, Center1 Building, Seoul, korea, 04539

Center 1 is conveniently located at the core of Seoul's central business district (CBD). Center 1 is one of the most advanced green building in Korea. Offers smartly landscaped park for rest and for a showcase of media technology as a front yard. It also features top class amenities such as prestigious retail shops and wide range of sophisticated restaurants (Italian, Japanese, Thai, Chinese, Korean, Indian, and Mexican) and breezy cafes. Business, dining, and shopping are under one roof at Center 1. Many financial institutions, investment banks, and insurance companies are located in close proximity, including the headquarter for the Bank of Korea. Seoul's political, public administration, media, cultural and economic venues are all within walking distance of Center 1. Also hotels, department stores and other amenities are within walking distance.

Subcategories (5)

Image for the CI/CD (Continuous Integration / Continuous Delivery)

CI/CD (Continuous Integration / Continuous Delivery)
Image for the Workflow Automation

Workflow Automation
Image for the IT Operations Analytics (ITOA)

IT Operations Analytics (ITOA)
Image for the OpsGenie

OpsGenie
Image for the DevOps Certification

DevOps Certification

Explore Our Courses

Make: Automating Remote Work

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This instructor-led, live training in Seoul (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:
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n8n for DevOps: Enhancing Continuous Integration and Deployment

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  • 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.
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Smart Workflow Automation: AI & Machine Learning with Make

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n8n for IoT: Automating the Internet of Things

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API Integrations with Make: Advanced Automation

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DevOps and Platform Engineering: A Collaborative Approach

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Securing and Scaling n8n Workflows

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Custom Node Development in n8n

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Make for DevOps

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Advanced Workflow Automation in n8n

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Deploying Fine-Tuned Models in Production

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Make for App Integration: Automating Business Workflows

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Zapier and AI for Business Automation

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Mastering Apache Airflow for DevOps

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Make for Data Integration

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Zapier for E-Commerce Automation

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Apache Airflow for Data Science: Automating Machine Learning Pipelines

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Make for eCommerce: Automating Sales and Inventory Management

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n8n for Marketing Automation

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Zapier for Marketing Automation

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Advanced Apache Airflow: Custom Operators and Plugins

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Advanced Zapier: Custom Integrations and Multi-Step Automations

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AI Automation with n8n and LangChain

 14 Hours
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Integrating Kubiya AI with DevOps Pipelines

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Make for Marketing Automation

 14 Hours
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Advanced Kubiya AI for DevOps Automation

 21 Hours
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Building AI Workflows in n8n

 14 Hours
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Building Efficient Workflows with Zapier

 14 Hours
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Mastering Make: Advanced Workflow Automation and Optimization

 14 Hours
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Automated Monitoring with Zabbix

 14 Hours
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Introduction to Kubiya AI for DevOps

 14 Hours
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Make Fundamentals: Introduction to Workflow Automation

 7 Hours
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n8n for Beginners

 7 Hours
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Zapier for Beginners: Automate Workflows Without Coding

 7 Hours
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Ansible AWX Fundamentals for DevOps Automation

 21 Hours
This instructor-led, live training in Seoul (online or onsite) is aimed at DevOps engineers, developers, and project managers who wish to efficiently execute preprogrammed functions and administer software development workflows using the powerful RESTful API of Ansible AWX. By the end of this training, participants will be able to:
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Ansible for Experts

 35 Hours
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  • Operate automation tools and advanced resources of Ansible to achieve CI/CD approach.
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Ansible and Puppet for Large Infrastructures

 14 Hours
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  • Build a pipeline for effective code deployment.
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Amazon Web Services (AWS) CodePipeline

 7 Hours
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AWS DevOps Engineers

 21 Hours
Audience: Cloud engineers, Solution architects, Centre of excellence team, Window server administrators, Unix/Linux administrator, Storage administrators, network administrators, Virtualization administrators Course Objectives: This course is designed to teach you how to:
  • Use the principal concepts and practices behind the DevOps methodology
  • Design and implement an infrastructure on AWS that supports one or more DevOps development projects
  • Use AWS CloudFormation and AWS OpsWorks to deploy the infrastructure necessary to create development, test, and production environments for a software development project
  • Use AWS CodeCommit and understand the array of options for enabling a Continuous Integration environment on AWS
  • Use AWS CodePipeline to design and implement a Continuous Integration and Delivery pipeline on AWS
  • Implement several common Continuous Deployment use cases using AWS technologies, including blue/green deployment and A/B testing
  • Distinguish between the array of application deployment technologies available on AWS (including AWS CodeDeploy, AWS Opsworks, AWS Elastic Beanstalk, Amazon EC2 Container Service, and Amazon EC2 Container Registry), and decide which technology best fits a given scenario
  • Fine tune the applications you deliver on AWS for high performance and use AWS tools and technologies to monitor your application and environment for potential issues
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Fundamentals of DevOps

 21 Hours
This training course introduces the core DevOps concepts and principles as well as the ways to stand up the DevOps practice in your organization. Upon completion of this training course, students will have fundamental understanding of DevOps’ value proposition; they will also gain practical experience working with select DevOps tools, including Puppet, Jenkins, and others. This training course is supplemented by hands-on labs that help attendees reinforce their theoretical knowledge of the learned material. TOPICS DevOps practices and tools Puppet Technical introduction to cloud computing Jenkins
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DevOps with Atlassian Bamboo

 14 Hours
This instructor-led, live training in Seoul (online or onsite) is aimed at DevOps engineers who wish to automate code and code deployment with Atlassian Bamboo. By the end of this training, participants will be able to:
  • Employ a CI/CD system.
  • Supply application configuration files for targeted environments.
  • Build and package code with Atlassian Bamboo.
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DevOps Fundamentals

 21 Hours
This instructor-led, live training in Seoul (online or onsite) is aimed at DevOps engineers, IT managers, or developers who wish to understand the fundamentals of DevOps, and then adopt the DevOps practices and tools into their organization. By the end of this training, participants will be able to:
  • Understand and apply the principles and mindset behind DevOps.
  • Design and implement transformation plans for adopting DevOps in their organization.
  • Automate repetitive tests and processes for faster delivery and shorter turnaround time in the development life cycle.
  • Integrate security operations and practices into the DevOps pipeline to eliminate vulnerabilities and data breaches.
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DevOps Security: Creating a DevOps Security Strategy

 7 Hours
In this instructor-led, live course in Seoul, participants will learn how to formulate the proper security strategy to face the DevOps security challenge.
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DevOps Practical Implementation and Tools

 21 Hours
This course focuses on practical implementation and tooling. It assumes good knowledge on theoretical principals (see DEVOPS course) as it focuses on newest tools and methods of implementing DevOps principles.
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DevSecOps

 14 Hours
This instructor-led, live training in Seoul (online or onsite) is aimed at DevOps professionals who wish to have a better understanding of DevSecOps method theories and DevSecOps in general. By the end of this training, participants will be able to:
  • Understand how a DevSecOps program can integrate security into a software development pipeline.
  • Build a secure continuous delivery pipeline.
  • Automate security testing for a software delivery workflow.
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Java and Kubernetes for DevOps Engineers

 21 Hours
This instructor-led, live training Seoul (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.
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Kubernetes Design Patterns and Extensions

 14 Hours
Kubernetes is an open-source platform for automating all development stages of containerized applications. Design patterns are iterable solutions to software development problems pertinent to software design. Kubernetes extensions are utilized for configuring and supporting Kubernetes clusters. With the help of Kubernetes design patterns and extensions, users of the platform can achieve CI/CD approaches while maintaining scalability and flexibility of software applications. This instructor-led, live training (online or onsite) is aimed at developers and DevOps engineers who wish to leverage Kubernetes design patterns and extensions to create enterprise applications on Kubernetes clusters. By the end of this training, participants will be able to:
  • Set up a Kubernetes cluster and configure the necessary DevOps tools.
  • Understand the fundamentals of software design patterns and Kubernetes extensions.
  • Utilize Kubernetes extensions and design patterns when interacting with Kubernetes API.
  • Develop customized Kubernetes resources and apply dynamic controllers to a cluster.
  • Manage and secure any Kubernetes environment with the help of Kubernetes plugins.
  • Integrate DevOps networking models to existing and prospective Kubernetes projects.
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.
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MLOps: CI/CD for Machine Learning

 35 Hours
This instructor-led, live training in Seoul (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.
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Advanced Automation with Red Hat Ansible

 35 Hours
This instructor-led, live training in Seoul (online or onsite) is aimed at DevOps engineers, developers, and SysOps administrators who wish to employ the Red Hat Ansible Automation Platform for executing software development functions and orchestrating advanced IT processes. Furthermore, they can demonstrate and hone Ansible practices that are advantageous to specific enterprise applications, all the while efficiently collaborating with their respective teams  for the accomplishment of complex business functionalities. By the end of this training, participants will be able to:
  • Install and configure Red Hat Ansible Automation Platform within the preferred environment.
  • Familiarize with advanced Ansible features for centralizing and managing projects.
  • Utilize automation tools and higher-level resources of Red Hat Ansible to achieve CI/CD approach.
  • Perform administrative methods for better collaboration of larger teams.
  • Enhance DevOps tasks execution within the organization and optimize existing ones.
  • Integrate Ansible Automation Platform with other Red Hat distributions to maximize productivity.
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Testimonials (15)

There were many practical exercises supervised and assisted by the trainer

Aleksandra - Fundacja PTA

Course - Mastering Make: Advanced Workflow Automation and Optimization

The break down of what DevOps can do. Possible Automation Integration.

Adeyinka Adekoya - NTPF

Course - Continuous Testing Foundation (CTF)®

Lab exercise

Tse Kiat - ST Engineering Training & Simulation Systems Pte. Ltd.

Course - Automated Monitoring with Zabbix

Trainer has in depth experince and well narreated in deed. The depth of the knowledge and the passion for teaching is highly appriciated.

Anup Kumar - SMR Automotive Mirrors Stuttgart

Course - Jenkins 2: Building CI/CD Pipelines

working with DevOps Toolchain

Kesh - Vodacom

Course - DevOps Foundation®

Trainer is very knowledgeable on the subject and able to provide real world examples through his experience.

Nouf

Course - Agile Software Testing with Continuous Integration

new information

Michael Durisin - Deutsche Telekom IT & Telecommunications Slovakia s.r.o

Course - Site Reliability Engineering (SRE) Foundation®

Trainer's vast experience and knowledge on the subject

DENNIS - Tanzania Revenue Authority

Course - DevOps Fundamentals

It really spoke to what we already have in our department

Letlotlo Miffi

Course - Ansible for Experts

The trainer was very well organized. He explained about all the tools required for the training in the beginning. The trainer happily clarified all the doubts and practical use cases were discussed.

Vivek Verma - Global Knowledge Network Training Ltd

Course - DevOps Practical Implementation and Tools

The trainer knew exactly what they were speaking about.

Madumetsa Msomi - BMW

Course - AWS DevOps Engineers

Very detailed, trainer knows the subject very well and has covered a lot of topics

Gabriel Kelly Navarro - Opswerks

Course - Advanced Spinnaker

Everything. It was very understandable, and if we didn't understand something, Adriano explained it.

Zsolt Nagy - W.UP Kft

Course - OpenShift Container Platform for Developers

Luke was very knowledgeable, patient, and very open to satisfy my curiosity, for example I asked him to generate errors to see how system will response, etc. He would go above and beyond to answer questions or demonstrate the functionalities, even some of my questions were out of the class scope. He gave me a real experience with the system. I definitely will take another class with him and recommend him as a teacher for others. Thank you Luke!.

Tina Henderson

Course - Test Automation with Selenium and Jenkins

All of it. Having had no previous exposure to Jenkins, I was a little concerned about my ability to keep up. IPad provided appropriate coaching/support, when I asked for help, so that I was able to follow the presentation at a level I was happy with.

Graham Congdon

Course - Jenkins: Continuous integration for Agile development

Upcoming Courses

Deploying Fine-Tuned Models in Production

2025-05-19 10:00
21 hours
Seoul - Gran Seoul
₩ 7500000 (Online)
₩ 15000000 (Classroom)

Securing and Scaling n8n Workflows

2025-06-02 10:00
14 hours
Seoul Center 1
₩ 5000000 (Online)
₩ 10000000 (Classroom)

Fundamentals of DevOps

2025-06-16 10:00
21 hours
Seoul - Gran Seoul
₩ 7500000 (Online)
₩ 15000000 (Classroom)

Mastering Apache Airflow for DevOps

2025-06-30 10:00
21 hours
Seoul Center 1
₩ 7500000 (Online)
₩ 15000000 (Classroom)

DevOps and Platform Engineering: A Collaborative Approach

2025-07-14 10:00
14 hours
Seoul - Gran Seoul
₩ 5000000 (Online)
₩ 10000000 (Classroom)

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