Ly Thai To

Level 5, 41A Ly Thai To Street, Hanoi, Vietnam

The business centre is conveniently located in Sentinel Place on the corner of Ly Thai To and Tran Nguyen Han Streets. It is located within five minutes walk to the Opera House, the Metropole and the Hilton Hanoi Opera and in close proximity to The Ministry of Finance, The Hanoi People's Committee, The State Bank of Vietnam and numerous other commercial properties and foreign banks. Ly Thai To Street is a prominent street which is well known in Hanoi and provides easy of access for any visitors. Key office developments in the vicinity include BIDV Tower, 63 Ly Thai To and the Opera Business Centre and there is high-end shopping malls in the immediate locality.

Toong IPH

3rd Floor, Indochina Plaza, 241 Xuan Thuy street, Cau Giay district, Ha Noi, Vietnam

Located on the 3rd floor of Indochina Plaza, Hanoi, Toong coworking space is one of the key tenants in the whole service complex. We help complete and elevate an ecosystem of living - working - socializing - trading - and relaxing hubs for local entrepreneurs and knowledge workers.

UPGEN KEANGNAM

Level 43, Keangnam Hanoi Landmark Tower, Pham Hung Street, Nam Tu Liem District, Ha Noi, Viet Nam

Inside the tallest building in Hanoi and second tallest in Vietnam, the 72-floor skyscraper Keangnam Hanoi Landmark Tower (Landmark72) is home to one of UPGen’s most impressive spaces. This Grade-A building boasts an incredible view of the city unlike anywhere else in Hanoi. UPGen Keangnam is conveniently located just five minutes’ walk from the metro line.

Subcategories (5)

Explore Our Courses

Make: Automating Remote Work

14 Hours

n8n for DevOps: Enhancing Continuous Integration and Deployment

21 Hours

Smart Workflow Automation: AI & Machine Learning with Make

14 Hours

n8n for IoT: Automating the Internet of Things

21 Hours

API Integrations with Make: Advanced Automation

14 Hours

DevOps and Platform Engineering: A Collaborative Approach

14 Hours

Securing and Scaling n8n Workflows

14 Hours

Custom Node Development in n8n

14 Hours

Make for DevOps

14 Hours

Advanced Workflow Automation in n8n

21 Hours

Deploying Fine-Tuned Models in Production

21 Hours

Make for App Integration: Automating Business Workflows

14 Hours

Zapier and AI for Business Automation

21 Hours

Mastering Apache Airflow for DevOps

21 Hours

Customizing Kubiya AI for Enterprise DevOps

14 Hours

Make for Data Integration

14 Hours

n8n for Data Integration

21 Hours

Zapier for E-Commerce Automation

14 Hours

Apache Airflow for Data Science: Automating Machine Learning Pipelines

21 Hours

Make for eCommerce: Automating Sales and Inventory Management

14 Hours

n8n for Marketing Automation

14 Hours

Zapier for Marketing Automation

14 Hours

Advanced Apache Airflow: Custom Operators and Plugins

21 Hours

Advanced Zapier: Custom Integrations and Multi-Step Automations

14 Hours

AI Automation with n8n and LangChain

14 Hours

Integrating Kubiya AI with DevOps Pipelines

14 Hours

Make for Marketing Automation

14 Hours

Advanced Kubiya AI for DevOps Automation

21 Hours

Building AI Workflows in n8n

14 Hours

Building Efficient Workflows with Zapier

14 Hours

Mastering Make: Advanced Workflow Automation and Optimization

14 Hours

Automated Monitoring with Zabbix

14 Hours

Introduction to Kubiya AI for DevOps

14 Hours

Make Fundamentals: Introduction to Workflow Automation

7 Hours

n8n for Beginners

7 Hours

Zapier for Beginners: Automate Workflows Without Coding

7 Hours

Ansible AWX Fundamentals for DevOps Automation

21 Hours

Ansible for Experts

35 Hours

Ansible and Puppet for Large Infrastructures

14 Hours

Amazon Web Services (AWS) CodePipeline

7 Hours

AWS DevOps Engineers

21 Hours

Fundamentals of DevOps

21 Hours

DevOps with Atlassian Bamboo

14 Hours

DevOps Fundamentals

21 Hours

DevOps Security: Creating a DevOps Security Strategy

7 Hours

DevOps Practical Implementation and Tools

21 Hours

DevSecOps

14 Hours

Java and Kubernetes for DevOps Engineers

21 Hours

Kubernetes Design Patterns and Extensions

14 Hours

MLOps: CI/CD for Machine Learning

35 Hours

Advanced Automation with Red Hat Ansible

35 Hours

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