Natural Language Processing (NLP) Training in Oxford

This instructor-led live training in Oxford equips finance practitioners and IT personnel with the skills to implement Ollama locally. Participants learn to deploy, configure, and integrate large language models into secure financial workflows, applying best practices for compliance and automation.

This live training in Oxford helps healthcare practitioners and IT teams deploy Ollama for local LLMs. Learn to integrate AI into clinical workflows, customize models for specific tasks, and ensure strict data privacy and regulatory compliance within secure healthcare environments.

This hands-on training in Oxford targets intermediate to advanced professionals aiming to build, deploy, and manage AI agents. Learn to leverage Mistral Medium 3, Le Chat Enterprise, and Devstral for robust enterprise and developer use cases, integrating connectors, RAG patterns, and compliance.

This live training in Oxford covers integrating Mistral conversational assistants into enterprise workflows. Participants will learn to connect SaaS tools, implement retrieval-augmented generation, and design effective UX patterns for customer-facing and internal chat interfaces.

This instructor-led, live training in Oxford helps beginners apply Claude AI to customer support and service operations. Participants will learn to automate triage, draft tone-consistent responses, and integrate AI into existing workflows using practical, hands-on exercises.

This live Mistral Responsible AI training in Oxford is tailored for compliance and security leads. You will master privacy-preserving techniques, data residency strategies, and enterprise controls such as RBAC and SSO to ensure secure, compliant AI deployment.

This live Claude AI training in Oxford helps professionals use the tool for data analysis and BI tasks. It covers exploratory data analysis, SQL generation, and dashboard design through natural language prompting, aiming to streamline workflows and improve insight extraction from business data.

Learn to build multimodal applications using Mistral models, focusing on OCR, document understanding, and vision-text search. This hands-on training covers pipeline implementation, NLP integration, and enterprise-grade design, delivered online or in Oxford.

This instructor-led, live training in Oxford (online or onsite) is aimed at intermediate-level data scientists and developers who wish to apply NLP techniques using Python in Google Colab.

By the end of this training, participants will be able to:

• Understand the core concepts of natural language processing.
• Preprocess and clean text data for NLP tasks.
• Perform sentiment analysis using NLTK and SpaCy libraries.
• Work with text data using Google Colab for scalable and collaborative development.

This instructor-led, live training in Oxford (online or onsite) is aimed at intermediate-level researchers, analysts, and knowledge workers who want to leverage Claude AI for processing large amounts of data, synthesizing information, and automating research tasks.

By the end of this training, participants will be able to:

• Use Claude AI for literature reviews and research synthesis.
• Summarize reports, research papers, and long-form documents.
• Extract key insights and trends from structured and unstructured data.
• Integrate Claude AI into research and knowledge management workflows.

This instructor-led training in Oxford targets ML engineers seeking to master self-hosting and fine-tuning Devstral and Mistral models. Participants learn practical governance, monitoring, and compliance techniques to deploy open-source AI with confidence in production environments.

This instructor-led, live training in Oxford (online or onsite) is aimed at beginner-level to intermediate-level content creators, writers, and marketers who want to leverage Claude AI for content generation, editing, and summarization to enhance blogs, reports, and marketing materials.

By the end of this training, participants will be able to:

• Use Claude AI for content brainstorming and idea expansion.
• Enhance writing with AI-assisted editing and proofreading.
• Generate summaries for long-form content and reports.
• Automate marketing copy creation for different platforms.

This instructor-led, live training in Oxford (online or onsite) is aimed at advanced-level professionals who wish to fine-tune and customize AI models on Ollama for enhanced performance and domain-specific applications.

By the end of this training, participants will be able to:

• Set up an efficient environment for fine-tuning AI models on Ollama.
• Prepare datasets for supervised fine-tuning and reinforcement learning.
• Optimize AI models for performance, accuracy, and efficiency.
• Deploy customised models in production environments.
• Evaluate model improvements and ensure robustness.

Master cost-effective Mistral LLM architectures with this 14-hour live training in Oxford. Learn to deploy, optimise, and scale Mistral Medium 3 for maximum throughput and minimum cost, using batching, quantization, and efficient serving strategies for enterprise workloads.

This instructor-led, live training in Oxford (online or onsite) is aimed at advanced-level professionals who wish to implement secure and efficient AI-driven workflows using Ollama.

By the end of this training, participants will be able to:

• Deploy and configure Ollama for private AI processing.
• Integrate AI models into secure enterprise workflows.
• Optimize AI performance while maintaining data privacy.
• Automate business processes with on-premise AI capabilities.
• Ensure compliance with enterprise security and governance policies.

This instructor-led, live training in Oxford (online or onsite) is aimed at intermediate-level software developers and AI engineers who wish to integrate Claude AI into their applications, build AI-powered chatbots, and enhance software functionality with AI-driven automation.

By the end of this training, participants will be able to:

• Use the Claude AI API to integrate AI into applications.
• Develop AI-driven chatbots and virtual assistants.
• Enhance applications with AI-powered automation and NLP.
• Optimize and fine-tune Claude AI models for different use cases.

This live training in Oxford covers Le Chat Enterprise, a private ChatOps solution for secure, governed conversational AI. Learners will deploy, configure, and integrate it with enterprise apps, enabling RBAC, SSO, and compliance-driven controls for scalable, secure AI workflows.

Master Devstral in this live training held in Oxford. It covers architecture, agentic workflow design, and tool integration. Ideal for advanced engineers, the course uses hands-on labs to build coding agents that enhance productivity and security within modern development environments.

This instructor-led, live training in Oxford (online or onsite) is aimed at beginner-level professionals who wish to integrate Claude AI into their daily workflows to improve efficiency and automation.

By the end of this training, participants will be able to:

• Use Claude AI for automating repetitive tasks and streamlining workflows.
• Enhance personal and team productivity using AI-powered automation.
• Integrate Claude AI with existing business tools and platforms.
• Optimize AI-driven decision-making and task management.

This instructor-led, live training in Oxford (online or onsite) is aimed at intermediate-level professionals who wish to deploy, optimise, and integrate LLMs using Ollama.

By the end of this training, participants will be able to:

• Set up and deploy LLMs using Ollama.
• Optimize AI models for performance and efficiency.
• Leverage GPU acceleration for improved inference speeds.
• Integrate Ollama into workflows and applications.
• Monitor and maintain AI model performance over time.

This instructor-led, live training in Oxford (online or onsite) is aimed at intermediate-level data scientists, AI developers, and AI enthusiasts who wish to use LLMs to perform various NLP tasks and create novel and diverse content for different purposes.

By the end of this training, participants will be able to:

• Establish a development environment with LLMs and essential tools.
• Expertly perform NLU and NLI tasks with LLMs.
• Extract, infer, and utilize knowledge graphs effectively.
• Generate and manage dialogues using LLMs for conversational applications.
• Evaluate content quality and diversity generated by LLMs and generative AI.
• Apply ethical principles, ensuring fairness and responsible use of LLMs.

This instructor-led, live training in Oxford (online or onsite) is aimed at intermediate-level professionals who wish to enhance their NLP projects through the effective fine-tuning of pre-trained language models.

By the end of this training, participants will be able to:

• Understand the fundamentals of fine-tuning for NLP tasks.
• Fine-tune pre-trained models such as GPT, BERT, and T5 for specific NLP applications.
• Optimize hyperparameters for improved model performance.
• Evaluate and deploy fine-tuned models in real-world scenarios.

This instructor-led training in Oxford helps advanced AI engineers deploy and secure Mistral Medium 3. You will optimise inference costs, implement multimodal use cases, and apply enterprise compliance practices. Includes hands-on labs for API and self-hosted setups.

This instructor-led, live training in Oxford (online or onsite) is aimed at beginner-level professionals who wish to install, configure, and use Ollama for running AI models on their local machines.

By the end of this training, participants will be able to:

• Understand the fundamentals of Ollama and its capabilities.
• Set up Ollama for running local AI models.
• Deploy and interact with LLMs using Ollama.
• Optimize performance and resource usage for AI workloads.
• Explore use cases for local AI deployment in various industries.

A two-day course for developers who already use AI coding tools such as Cursor, Claude Code or Copilot. It covers delegating complete tasks to agents, building the personalisation stack (Rules, AGENTS.md, Skills, MCP, Agents), connecting and building MCP servers, running agents in parallel, and a structured agentic workflow. The material is tool-agnostic. It follows the Foundations course.

A two-day introduction to AI-assisted software development for people new to these tools, including those with little or no coding experience. It covers how the tools work, how to direct them with prompts, and how to apply them to common tasks: building a small project from scratch, working in an existing codebase, and reviewing the results. The material is tool-agnostic and applies to Cursor, Claude Code, Copilot and similar tools. It precedes the Agentic AI Development: Advanced Workflows course.

This 2-step training programme is designed for software delivery teams that want to integrate AI-assisted engineering workflows into their day-to-day activities using Claude Code.

This course Oxford provides comprehensive artificial intelligence training spanning data analysis, distributed machine learning, and natural language processing, designed to help developers build large-scale intelligent systems. It offers an in-depth exploration of practical methodologies for Spark MLlib, recommendation engines, Word2Vec-based semantic analysis, and RNN-LSTM architectures. By enabling professionals to transform raw data into automated decision-making pipelines suitable for production deployment, the course comprehensively enhances the core capabilities required for building sophisticated intelligent systems

This instructor-led, live training in Oxford is aimed at intermediate-level developers who wish to design, build and test AI agents with the Claude API and the Agent SDK.

By the end of this training, participants will be able to:

• Call the Messages API with system prompts, structured output and streaming
• Define tools and implement a reliable tool-use loop
• Connect agents to external systems through MCP servers
• Build and run agents with the Claude Agent SDK, including permissions and subagents
• Reduce cost and latency with prompt caching and sensible context handling
• Test, log and monitor agent behavior with a small evaluation set

This instructor-led, live training in Oxford is aimed at intermediate-level to advanced-level developers and tech leads who wish to configure and scale Claude Code for reliable team use.

By the end of this training, participants will be able to:

• Structure CLAUDE.md files, settings and permissions for repositories and teams
• Create custom subagents with focused roles and tool access
• Write hooks that enforce formatting, tests and safety rules automatically
• Package recurring workflows as Skills, slash commands and plugins
• Connect Claude Code to external systems through MCP servers
• Run Claude Code non-interactively in scripts and CI pipelines, and review its output critically

This instructor-led, live training in Oxford is aimed at: Business users who want to build simple internal tools and prototypes.

By the end of this training, participants will be able to:

• Describe a small tool so that AI can build it
• Build a working prototype with Lovable
• Use Claude Code for simple helper tools with guidance
• Know when a prototype needs a developer

This instructor-led, live training in Oxford is aimed at: Knowledge workers and managers who want to hand over complete tasks to Claude.

By the end of this training, participants will be able to:

• Understand what Claude Cowork can do on its own
• Delegate research, document and file tasks
• Plan, review and correct delegated work
• Know limits and safe use

Claude Cowork takes over whole tasks such as research, document preparation and file work instead of answering one prompt at a time. This course teaches how to write good assignments, check the plan and review the results. Participants hand over three real tasks and set up a scheduled task.

This instructor-led, live training in Oxford is aimed at: Knowledge workers, assistants, project and department leads who want to hand over entire tasks to Claude instead of chatting step by step.

By the end of this training, participants will be able to:

• Understand the difference between chat and delegated work in Cowork
• Formulate assignments with goal, material, limits and acceptance criteria
• Have documents, spreadsheets and presentations created from a folder
• Hand over research from the question to the finished report
• Use plugins, skills and connectors in Cowork
• Define approval points, backups and safe folder access

Format of the Course

• Duration: 1 day (7 hours)
• Interactive training with a trainer, discussion and hands-on exercises on the participants' own use cases
• Outcome, Day 1: Each participant has handed over three real tasks to Cowork, reviewed the results and set up a scheduled task.

Course Customisation Options

• To request a customised training for this course, please contact us to arrange.

Ollama is an open-source tool for running large language models locally on consumer and enterprise hardware. It abstracts model quantization, GPU allocation, and API serving into a single command-line interface, enabling organizations to self-host LLMs like Llama, Mistral, and Qwen without sending prompts or data to OpenAI, Anthropic, or Google.