Natural Language Processing (NLP) Training in Oslo

This instructor-led live training in Oslo empowers finance practitioners and IT personnel with the skills necessary to implement Ollama locally. Learners will discover how to deploy, configure, and integrate large language models into secure financial workflows, while adhering to best practices for compliance and automation.

This live training in Oslo equips healthcare practitioners and IT teams with the skills to deploy Ollama for local LLMs. Participants will learn to integrate AI into clinical workflows, tailor models for specialized tasks, and uphold rigorous data privacy standards and regulatory compliance within secure healthcare settings.

This practical training in Oslo is geared toward intermediate and advanced professionals focused on building, deploying, and managing AI agents. Discover how to utilize Mistral Medium 3, Le Chat Enterprise, and Devstral for sturdy enterprise and developer applications, including the integration of connectors, RAG patterns, and compliance measures.

This live training in Oslo focuses on embedding Mistral conversational assistants into enterprise workflows. Attendees will gain proficiency in connecting SaaS tools, implementing retrieval-augmented generation, and crafting effective UX patterns for both customer-facing and internal chat interfaces.

This live, instructor-led training in Oslo empowers beginners to apply Claude AI effectively in customer support and service operations. Through practical, hands-on exercises, participants will learn to automate triage, draft tone-consistent responses, and integrate AI solutions into existing workflows.

This live Mistral Responsible AI training in Oslo is designed for compliance and security professionals. Participants will master privacy-preserving techniques, data residency strategies, and enterprise controls such as RBAC and SSO to guarantee secure and compliant AI deployment.

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

Master the development of multimodal applications using Mistral models, with a strong emphasis on OCR, document understanding, and vision-text search. This practical training session covers pipeline implementation, NLP integration, and enterprise-grade design, accessible either online or in Oslo.

This instructor-led, live training in Oslo (online or onsite) targets intermediate-level data scientists and developers wishing to apply NLP techniques using Python in Google Colab.

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

• Grasp the core concepts of natural language processing.
• Preprocess and clean text data for NLP tasks.
• Conduct sentiment analysis using the NLTK and SpaCy libraries.
• Utilize Google Colab to work with text data, facilitating scalable and collaborative development.

This instructor-led, live training in Oslo (online or onsite) targets intermediate-level researchers, analysts, and knowledge workers who wish to leverage Claude AI for processing vast amounts of data, synthesizing information, and automating research tasks.

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

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

This instructor-led training in Oslo is designed for ML engineers looking to master the self-hosting and fine-tuning of Devstral and Mistral models. Participants will learn practical governance, monitoring, and compliance strategies to deploy open-source AI with confidence in production settings.

This instructor-led, live training in Oslo (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 Oslo (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.

Gain mastery over cost-efficient Mistral LLM architectures through this 14-hour live session in Oslo. Discover how to deploy, optimize, and scale Mistral Medium 3 for superior throughput and lower costs, leveraging batching, quantization, and smart serving strategies for enterprise applications.

This instructor-led, live training in Oslo (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 Oslo (online or onsite) targets intermediate-level software developers and AI engineers aiming to integrate Claude AI into their applications, create AI-powered chatbots, and improve 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.
• Create 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 live training in Oslo focuses on Le Chat Enterprise, a private ChatOps solution for secure, governed conversational AI. Learners will deploy, configure, and integrate it with enterprise apps, activating RBAC, SSO, and compliance-driven controls to support scalable, secure AI workflows.

Gain mastery over Devstral in this live training session held in Oslo. The curriculum covers architecture, agentic workflow design, and tool integration. Ideal for advanced engineers, this course utilizes hands-on labs to develop coding agents that enhance both productivity and security within modern development environments.

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

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

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

This instructor-led, live training in Oslo (online or onsite) targets intermediate-level data scientists, AI developers, and AI enthusiasts who aim to utilize LLMs for various NLP tasks and to create innovative 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 Oslo (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 Oslo empowers advanced AI engineers to deploy and secure Mistral Medium 3. Learn to optimize inference costs, build multimodal solutions, and adhere to enterprise compliance standards, supported by hands-on labs for both API and self-hosted configurations.

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

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

• Comprehend the fundamentals and capabilities of Ollama.
• 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 program designed for developers who already utilize AI coding tools such as Cursor, Claude Code, or Copilot. The course explores delegating full tasks to agents, constructing the personalization stack (Rules, AGENTS.md, Skills, MCP, Agents), connecting and developing MCP servers, executing agents in parallel, and implementing a structured agentic workflow. The content is tool-agnostic and builds upon the Foundations course.

This two-day course provides an introductory look at AI-assisted software development, tailored for beginners who may have little to no coding background. Participants will learn how these tools function, how to guide them using effective prompts, and how to apply them to practical scenarios: creating a small project from the ground up, navigating an existing codebase, and critically reviewing the outcomes. The curriculum is tool-agnostic and relevant for Cursor, Claude Code, Copilot, and similar platforms. This session serves as the foundational prerequisite for the 'Agentic AI Development: Advanced Workflows' course.

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

This course in Oslo provides artificial intelligence technology training, covering data analysis, distributed machine learning, and natural language processing to help developers build large-scale intelligent systems. It delves into practical methods for Spark MLlib, recommendation engines, Word2Vec semantic analysis, and RNN-LSTM architectures, assisting professionals in transforming raw data into automated decision-making pipelines that can be deployed to production environments, thereby comprehensively enhancing the core competency to build intelligent systems.

This live, instructor-led training in Oslo is tailored for intermediate-level developers seeking to design, build, and test AI agents utilizing the Claude API and the Agent SDK.

Upon completing this training, participants will be equipped to:

• Invoke the Messages API utilizing system prompts, structured output, and streaming capabilities
• Define custom tools and implement a robust tool-use loop
• Integrate agents with external systems via MCP servers
• Create and execute agents using the Claude Agent SDK, including managing permissions and subagents
• Optimize costs and latency through prompt caching and effective context management
• Test, log, and monitor agent performance using a concise evaluation set

This instructor-led, live training in Oslo is designed for intermediate to advanced developers and tech leads aiming to configure and scale Claude Code for dependable team deployment.

By the conclusion of this training, participants will have the ability 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 Oslo targets business users aiming to build simple internal tools and prototypes.

By the end of the session, participants will be able to:

• Describe small tools clearly so AI can build them
• Create a working prototype with Lovable
• Utilize Claude Code for simple helper tools under guidance
• Determine when a prototype needs a professional developer

This live, instructor-led training held in Oslo targets knowledge workers and managers who wish to delegate comprehensive tasks to Claude.

By the end of the session, participants will be capable of:

• Understanding the autonomous functions of Claude Cowork
• Delegating research, document creation, and file handling
• Planning, reviewing, and correcting assigned tasks
• Acknowledging constraints and maintaining safe usage protocols

Claude Cowork manages end-to-end tasks, such as research, document preparation, and file operations, moving beyond simple prompt-response interactions. This course instructs participants on writing high-quality assignments, verifying execution plans, and assessing results. Learners will delegate three practical tasks and set up a scheduled automation.

This instructor-led, live training in Oslo is tailored for knowledge workers, assistants, and project or department leads who aim to delegate full workflows to Claude instead of engaging in incremental chat exchanges.

By the conclusion of this training, participants will be equipped to:

• Understand the distinction between chat-based interactions and delegated tasks in Cowork
• Formulate assignments that clearly define goals, source materials, boundaries, and acceptance criteria
• Create documents, spreadsheets, and presentations from specific folders
• Delegate research from the initial question through to the final report
• Utilize plugins, skills, and connectors within Cowork
• Define approval stages, backup strategies, and secure folder access protocols

Course Format

• Duration: 1 day (7 hours)
• Interactive sessions with a trainer, including discussions and hands-on exercises based on participants' own scenarios
• Outcome by Day 1: Each participant will have delegated three real tasks to Cowork, reviewed the outcomes, and established a scheduled task.

Course Customization Options

• To request a customized version of this training, please contact us.

Ollama is an open-source solution that enables the local execution of large language models on consumer and enterprise hardware. It streamlines processes such as model quantization, GPU allocation, and API serving into a single command-line interface, allowing organizations to host models like Llama, Mistral, and Qwen internally. This ensures that data and prompts remain within the organization’s infrastructure, rather than being sent to external services like OpenAI, Anthropic, or Google.