Exeter

The Senate, Southernhay Gardens, Exeter, united kingdom, EX1 1UG

The business centre is located in Exeter, with excellent transport links that is served by two mainline train stations, Exeter Central and Exeter St Davids, which provide regular rail services to all major UK cities. Exeter has been identified by as one of the top 10 most profitable business locations and the county of Devon is regularly voted as number one in England for quality of life. The Senate is the finest office building in Exeter and offers the largest available floors. This exceptional grade A building is adjacent to the city’s new Crown Court and only a short stroll from the vibrant heart of the city centre, with its bars, restaurants and recently completed Princesshay shopping centre. The building provides over 72,000 sqft of high specification office accommodation over 5 floors and incorporates underground secure parking for 72 cars. As you would expect from a building of this calibre, the specification and finish reflect a commitment to the highest standards. Efficient space management is expressed in the flexibility of the floorplates, which can be tailored to the needs of each occupier.

Subcategories (9)

Explore Our Courses

Ethical Deployment of LLMs

7 Hours

Cross-Lingual LLMs

14 Hours

Fine-Tuning Large Language Models Using QLoRA

14 Hours

Natural Language Processing (NLP) with Google Colab

14 Hours

Ethical Considerations in AI Development with LangChain

21 Hours

Enhancing User Experience with LangChain in Web Apps

14 Hours

Automating Workflows with LangChain and APIs

14 Hours

Google Gemini AI for Content Creation

14 Hours

SLMs for Smart Cities: Urban Planning and Management with AI

14 Hours

LangChain for Data Analysis and Visualization

14 Hours

SLMs for Educational Tech: Tailoring AI for Learning and Development

14 Hours

Introduction to Google Gemini AI

14 Hours

Integrating LangChain with Cloud Services

14 Hours

Small Language Models (SLMs) for On-Device AI

21 Hours

Building Conversational Agents with LangChain

14 Hours

Deep Learning for NLU: Beyond NLP Models

21 Hours

Fine-Tuning and Customizing AI Models on Ollama

14 Hours

Small Language Models (SLMs): Developing Energy-Efficient AI

21 Hours

Text Summarization and Content Generation with AI (NLG)

21 Hours

AI Automation with n8n and LangChain

14 Hours

AI for Semantic Understanding, Contextual AI, and NLU

14 Hours

Building Private AI Workflows with Ollama

14 Hours

AI-Driven NLG for Chatbots and Virtual Assistants

21 Hours

Small Language Models (SLMs) for Human-AI Interactions

14 Hours

Advanced Techniques in Natural Language Generation (NLG)

14 Hours

Advanced Techniques in NLU for AI

14 Hours

Deploying and Optimizing LLMs with Ollama

14 Hours

Fine-Tuning Models and Large Language Models (LLMs)

14 Hours

LangChain Fundamentals

14 Hours

Advanced LLMs for NLP Tasks

21 Hours

Small Language Models (SLMs) for Domain-Specific Applications

28 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 Natural Language Generation (NLG)

14 Hours

LangChain: Building AI-Powered Applications

14 Hours

Foundations of Natural Language Understanding (NLU)

14 Hours

Getting Started with Ollama: Running Local AI Models

7 Hours

Small Language Models (SLMs): Applications and Innovations

14 Hours

NLP: Natural Language Processing with R

21 Hours

Natural Language Processing (NLP) with Python

28 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

Python for Natural Language Generation (NLG)

21 Hours

Natural Language Processing (NLP) - AI/Robotics

21 Hours

Natural Language Processing (NLP) with Deep Dive in Python and NLTK

35 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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