Natural Language Processing (NLP) Training in Brno

This instructor-led live training in Brno empowers finance practitioners and IT personnel to implement Ollama locally. Learners will acquire the ability to deploy, configure, and integrate large language models into secure financial workflows, while adhering to compliance and automation best practices.

This live training in Brno empowers healthcare practitioners and IT teams to implement Ollama for local LLM deployment. You will learn to weave AI into clinical workflows, adapt models for specific operational needs, and uphold rigorous data privacy and regulatory compliance within secure healthcare settings.

This instructor-led, live training in Brno guides beginners in effectively deploying Claude AI for customer support and service operations. Participants will master the automation of triage, the drafting of tone-aligned responses, and the integration of AI into existing workflows through practical, hands-on exercises.

This live training on Claude AI in Brno empowers professionals to apply the tool for data analysis and BI operations. It addresses exploratory data analysis, SQL generation, and dashboard design using natural language prompts, with the goal of optimizing workflows and refining insight extraction from business data.

This instructor-led, live training in Brno (online or on-site) is designed for intermediate-level data scientists and developers who wish to apply NLP techniques using Python in Google Colab.

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

• Comprehend the fundamental concepts of natural language processing.
• Preprocess and clean text data specifically for NLP applications.
• Conduct sentiment analysis utilizing NLTK and SpaCy libraries.
• Manage text data in Google Colab to facilitate scalable and collaborative development workflows.

This instructor-led, live training in Brno (online or onsite) is designed for intermediate-level researchers, analysts, and knowledge workers who wish to utilize Claude AI for processing large volumes of data, synthesizing information, and automating research tasks.

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

• Utilize 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 Brno (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 Brno (online or on-site) is designed for advanced professionals who wish to fine-tune and customize AI models on Ollama to improve performance and support 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 Brno (online or onsite) is designed for advanced professionals who aim 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 Brno (online or onsite) is designed for 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 Brno (online or onsite) is designed for beginner-level professionals aiming to integrate Claude AI into their daily workflows to enhance 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 Brno (online or onsite) is designed for intermediate professionals aiming to deploy, optimize, 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 Brno (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 Brno (online or onsite) is designed for intermediate-level professionals looking 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 to improve model performance.
• Evaluate and deploy fine-tuned models in real-world scenarios.

This instructor-led, live training in Brno (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.

This two-day course is designed for developers who are already utilizing AI coding tools like Cursor, Claude Code, or Copilot. The curriculum focuses on delegating comprehensive tasks to agents, constructing a personalization stack (including Rules, AGENTS.md, Skills, MCP, and Agents), creating and linking MCP servers, executing agents in parallel, and implementing structured agentic workflows. The training material is tool-agnostic and serves as a continuation of the Foundations course.

This two-day course introduces beginners to AI-assisted software development, welcoming individuals with little to no coding background. Participants will learn how these tools function, how to guide them using prompts, and how to apply them to common tasks: creating a new project from scratch, working within an existing codebase, and evaluating outputs. The curriculum is tool-agnostic and applies to Cursor, Claude Code, Copilot, and similar platforms. This course serves as a prerequisite for the Agentic AI Development: Advanced Workflows training.

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

This course provides Artificial Intelligence training in Brno, 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, enabling professionals to transform raw data into automated decision pipelines ready for production deployment, thereby enhancing core competencies in building intelligent systems.

This instructor-led, live training in Brno (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 goes beyond being just a code-completion tool; it is a terminal-native development agent capable of reading your codebase, planning multi-step changes, running tests, and executing tasks from a single instruction to deliver working results. This one-day workshop offers participants structured, hands-on experience in configuring Claude Code for real-world projects, writing effective delegations that yield reviewable outcomes, utilizing CLAUDE.md as persistent project memory, and integrating internal tools through the Model Context Protocol.

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

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

• Configure Claude Code and effectively guide it using a CLAUDE.md file.
• Scaffold an application and integrate data and a CMS.
• Create tests and perform QA using subagents.
• Set up automated deployment to Vercel or Cloud Run.

This instructor-led, live training in Brno (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 to run large language models locally on both consumer-grade and enterprise hardware. It simplifies complex tasks such as model quantization, GPU resource allocation, and API serving into a single command-line interface. This allows organizations to self-host LLMs like Llama, Mistral, and Qwen without transmitting prompts or sensitive data to external providers like OpenAI, Anthropic, or Google.