Sheffield

The Chimney House, 4 Kelham Island, Sheffield, united kingdom, S3 8RY

The Chimney House is a creative and innovative space in the centre of Sheffield – the biggest feedback we receive from companies that use us is that they noticeably observe higher levels of performance and interaction from teams and individuals. The building is formed on the ethos of the truest form of recycling – 85% of furnitures, fittings and décor has been created from reclaim and salvage and matched with a ultra modern outlook. We host meetings, trainings, brainstorming sessions, workshops, away days and conferences as well as product launches, interviews, filming and photoshoots on a daily basis. Light, airy with plenty of table space, multiple power sources, hidden screen, wireless projector, state of the art audio system and full building high speed wi-fi. Need to break out? We can help, with a choice of 2 additional rooms for hire. We're famed for our lunches that are brim full of Yorkshire fresh produce. Sourced from the 7 hills of Sheffield and supporting local and independent makers and bakers, our lunches are tip top tasty with cake to die for! There are multiple car parks within a few minutes walk. We can provide a handy 'How to Guide' to recommend the easiest way to arrive by road, rail, bicycle, foot and tram. We are also home to Supper Society, a secret dining society that meets sporadically, hosted by guest chefs. The only time an individual seat at The Chimney House table can be acquired.

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

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

BCS Foundation Level Certificate in DevOps

14 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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Testimonials (15)

Provisional Upcoming Courses (Contact Us For More Information)

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