Natural Language Processing (NLP) Training in Uppsala

This live, instructor-led training in Uppsala empowers finance practitioners and IT personnel with the capabilities to locally implement Ollama. Learners will master the deployment, configuration, and integration of large language models into secure financial workflows, while applying best practices for compliance and automation.

This live training in Uppsala enables healthcare professionals and IT teams to implement Ollama for local LLMs. Participants will learn to embed AI into clinical workflows, adapt models for specialized tasks, and maintain rigorous data privacy and regulatory standards within secure healthcare settings.

This live, instructor-led training in Uppsala is designed for beginners looking to integrate Claude AI into customer support and service operations. Learners will master automated triage, drafting of consistent-tone responses, and the seamless integration of AI into current workflows through practical, hands-on activities.

This live Claude AI training in Uppsala empowers professionals to harness the tool for data analysis and BI tasks. It addresses exploratory data analysis, SQL generation, and dashboard design through natural language prompting, with the goal of streamlining workflows and enhancing the extraction of insights from business data.

This instructor-led, live training in Uppsala (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 Uppsala (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, live training in Uppsala (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 Uppsala (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 customized models in production environments.
• Evaluate model improvements and ensure robustness.

This instructor-led, live training in Uppsala (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 Uppsala (online or onsite) targets intermediate-level software developers and AI engineers who want to integrate Claude AI into their applications, create AI-powered chatbots, and enhance software functionality through AI-driven automation.

Upon completion of this training, participants will be able to:

• Utilize 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 various use cases.

This instructor-led, live training in Uppsala (online or onsite) targets 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 Uppsala (online or onsite) is designed for intermediate-level professionals who wish to deploy, optimize, and integrate LLMs using Ollama.

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

• Install and deploy LLMs using Ollama.
• Optimize AI models for enhanced performance and efficiency.
• Utilize GPU acceleration to boost inference speeds.
• Seamlessly integrate Ollama into existing workflows and applications.
• Monitor and maintain AI model performance over time.

This instructor-led, live training in Uppsala (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 Uppsala (online or onsite) targets intermediate-level professionals who aim 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:

• Grasp 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 to improve model performance.
• Evaluate and deploy fine-tuned models in real-world scenarios.

This instructor-led, live training in Uppsala (online or onsite) is designed for beginner-level professionals who want to install, configure, and use Ollama to run AI models on their local machines.

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

• Grasp 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 across various industries.

A two-day training program tailored for developers who already utilize AI coding tools like Cursor, Claude Code, or Copilot. The curriculum focuses on delegating complete tasks to agents, constructing the personalization stack (Rules, AGENTS.md, Skills, MCP, Agents), establishing and building MCP servers, executing agents in parallel, and implementing structured agentic workflows. The content remains tool-agnostic and builds upon the Foundations course.

This two-day introductory course is designed for individuals new to AI-assisted software development, including those with minimal or no coding experience. Participants will learn how these tools function, how to effectively guide them using prompts, and how to apply them to typical tasks such as building a project from scratch, working within an existing codebase, and reviewing output. The content is tool-agnostic and applicable to platforms like Cursor, Claude Code, Copilot, and similar utilities. This course serves as a prerequisite for the 'Agentic AI Development: Advanced Workflows' course.

This two-stage training program is tailored for software delivery teams aiming to embed AI-assisted engineering workflows into their daily operations using Claude Code.

This course in Uppsala provides training in Artificial Intelligence, covering data analysis, distributed machine learning, and natural language processing to help developers build large-scale intelligent systems. It delves into practical applications of Spark MLlib, recommendation engines, Word2Vec semantic analysis, and RNN-LSTM architectures, empowering professionals to convert raw data into decision-making pipelines ready for production deployment, thereby enhancing the core capabilities required to build robust intelligent systems.

This instructor-led, live training in Uppsala (online or onsite) is aimed at senior leaders and executives who wish to harness Claude as a strategic business assistant to enhance decision-making, accelerate planning and build competitive advantage through AI-augmented leadership.

Claude Code is more than just a code-completion tool; it operates as a terminal-native development agent capable of reading your codebase, planning multi-step changes, executing tests, and driving tasks from a single instruction to a working result. This one-day workshop provides participants with structured, hands-on experience, including configuring Claude Code for real-world projects, writing delegations that yield reviewable outcomes, utilizing CLAUDE.md as persistent project memory, and integrating internal tools via the Model Context Protocol.

This instructor-led live training in Uppsala is designed for intermediate developers aiming to take a project from idea to a deployed, production-ready application using Claude Code.

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

• Configure Claude Code and guide its actions effectively through a CLAUDE.md file.
• Scaffold an application and integrate data with a CMS.
• Develop tests and perform quality assurance using subagents.
• Establish automated deployment workflows to Vercel or Cloud Run.

This instructor-led, live training in Uppsala (online or onsite) is aimed at software developers and engineering teams who wish to use Claude Code to accelerate development cycles, improve code quality, and automate repetitive programming tasks.

By the end of this training, participants will be able to install and configure Claude Code, edit multi-file codebases with natural language, leverage approval modes, and integrate with Git and CI/CD.

Ollama is an open-source utility designed for executing large language models locally on both consumer-grade and enterprise hardware. It simplifies the complexities of model quantization, GPU resource allocation, and API serving into a single command-line interface, allowing organizations to self-host models such as Llama, Mistral, and Qwen without transmitting prompts or sensitive data to OpenAI, Anthropic, or Google.