Leeds

No 2 Wellington Place, Leeds, united kingdom, LS1 4AP

This centre is positioned in the middle of Leeds in Wellington Place, which covers 21 acres and will ultimately provide over three million square feet of offices, residential, hotel, retail and leisure facilities. Extensive River frontage, inspiring public spaces and piazzas and galleries add to its appeal. This development on a grand scale is designed to act as a catalyst for securing Leeds' status as the country's second commercial centre. The vision is to provide an environment that will draw the businesses of the future to this already thriving city. Leeds is already the UK's largest centre for financial and business services outside London with over 30 national and international banks based in the city. Over 120,000 people are employed in knowledge-intensive occupations, making it the largest centre outside the capital for knowledge-based industries, too. It is also known as a top legal centre and has the country's third largest manufacturing base.

Subcategories (9)

Explore Our Courses

Ollama for Responsible AI and Governance

14 Hours

Open AI Agent Development with Mistral AI

14 Hours

Ollama & Data Privacy: Secure Deployment Patterns

14 Hours

Productizing Conversational Assistants with Mistral Connectors & Integrations

14 Hours

Prompt Engineering Mastery with Ollama

14 Hours

LangGraph for Legal Applications

35 Hours

Mistral for Responsible AI: Privacy, Data Residency & Enterprise Controls

14 Hours

Ollama Scaling & Infrastructure Optimization

21 Hours

CANN SDK for Computer Vision and NLP Pipelines

14 Hours

LangGraph Applications in Finance

35 Hours

Multimodal Applications with Ollama

21 Hours

Multimodal Applications with Mistral Models (Vision, OCR, & Document Understanding)

14 Hours

Natural Language Processing (NLP) with Google Colab

14 Hours

Advanced Ollama Model Debugging & Evaluation

35 Hours

Claude AI for Research and Knowledge Management

14 Hours

Open-Source Model Ops: Self-Hosting, Fine-Tuning and Governance with Devstral & Mistral Models

14 Hours

Integrating LangChain with Cloud Services

14 Hours

LangGraph in Healthcare: Workflow Orchestration for Regulated Environments

35 Hours

Advanced LangGraph: Optimization, Debugging, and Monitoring Complex Graphs

35 Hours

Building Conversational Agents with LangChain

14 Hours

Claude AI for Content Creation

14 Hours

Fine-Tuning and Customizing AI Models on Ollama

14 Hours

Cost-Effective LLM Architectures: Mistral at Scale (Performance / Cost Engineering)

14 Hours

AI Automation with n8n and LangChain

14 Hours

Building Private AI Workflows with Ollama

14 Hours

Claude AI for Developers: Building AI-Powered Applications

14 Hours

LangGraph for Marketing Automation

14 Hours

Le Chat Enterprise: Private ChatOps, Integrations & Admin Controls

14 Hours

Building Coding Agents with Devstral: From Agent Design to Tooling

14 Hours

Claude AI for Workflow Automation and Productivity

14 Hours

Deploying and Optimizing LLMs with Ollama

14 Hours

LangChain Fundamentals

14 Hours

Building Dynamic Workflows with LangGraph and LLM Agents

14 Hours

Advanced LLMs for NLP Tasks

21 Hours

Fine-Tuning for Natural Language Processing (NLP)

21 Hours

Exploring Generative Pre-trained Transformers (GPT): From GPT-3 to GPT-4

14 Hours

Introduction to Claude AI: Conversational AI and Business Applications

14 Hours

LangChain: Building AI-Powered Applications

14 Hours

LangGraph Foundations: Graph-Based LLM Prompting and Chaining

14 Hours

Enterprise-Grade Deployments with Mistral Medium 3

14 Hours

Getting Started with Ollama: Running Local AI Models

7 Hours

NLP: Natural Language Processing with R

21 Hours

Artificial Intelligence (AI) Overview

7 Hours

AI Awareness for Telecom

14 Hours

Artificial Intelligence - the most applied stuff - Data Analysis + Distributed AI + NLP

21 Hours

Building Chatbots in Python

21 Hours

Deep Learning for NLP (Natural Language Processing)

28 Hours

Natural Language Processing (NLP) - AI/Robotics

21 Hours

Natural Language Processing (NLP) with Python spaCy

14 Hours

Text Summarization with Python

14 Hours

Natural Language Processing (NLP) with TensorFlow

35 Hours

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