Gdynia

Hotel Nadmorski, Ejsmonda 2, Gdynia, Poland, 81-409

The training room is located just 3 kilometers from the PKP/PKS Station in Gdynia, making it easily accessible for participants traveling by train or bus. Additionally, it is only 400 meters away from the bus stop, facilitating access even for those using public transportation. It is equipped with necessary training tools such as a projector, screen, and flipchart, providing comfortable conditions for both participants and the trainer.

Gdańsk

Hotel Fahrenheit, Grodzka 19, Gdańsk, Poland, 80-841

The training room is located in the very heart of the picturesque Gdansk Old Town, making the surroundings not only inspiring but also exceptionally attractive for participants. Within close proximity, you can find the railway and bus stations, facilitating arrival for those traveling by both train and bus. Additionally, the airport and port are also within reach, making this location convenient for individuals coming from distant places, both domestically and internationally.

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

Apache Airflow

21 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

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Testimonials (19)

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