Delivered as either online or onsite instructor-led sessions, our live Natural Language Processing (NLP) training courses guide you through interactive discussions and practical exercises to uncover insights and meaning within your data. By leveraging programming languages such as Python and R alongside dedicated NLP libraries, our programs integrate concepts from computer science, artificial intelligence, and computational linguistics to help participants grasp the underlying significance of textual data. Throughout the training, we walk participants through a structured process for evaluating and implementing the most suitable algorithms to analyze data and articulate its impact.
NLP training is offered in two formats: "online live training" or "onsite live training". Online live training, also known as "remote live training," is conducted via an interactive remote desktop. Onsite live training can be held directly at customer premises in Prague or within NobleProg corporate training centers located in Prague.
From Prague Main Train Station (Praha hlavní nádraží)
Take tram 9 from Hlavní nádraží toward Sídliště Řepy.
Get off at Újezd.
Walk about 10 minutes toward Malostranské náměstí / Prokopská.
Continue along Prokopská to 296/8.
Alternative: Take the metro C from Hlavní nádraží → Muzeum, change to metro A → Malostranská, then walk across Malá Strana. This involves more walking.
From Prague Bus Station — Florenc
Take metro B from Florenc toward Zličín.
Get off at Můstek.
Change to metro A toward Nemocnice Motol.
Get off at Malostranská.
Walk approximately 10–15 minutes to Prokopská 296/8.
This instructor-led live training in Prague 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 Prague 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 training in Prague explores responsible AI principles within Ollama, emphasizing fairness, transparency, and accountability. Participants will create governance workflows, apply bias mitigation techniques, and build compliance monitoring frameworks through practical labs and real-world case studies.
This hands-on training in Prague is designed for intermediate to advanced professionals seeking to build, deploy, and manage AI agents. Learn to effectively utilize Mistral Medium 3, Le Chat Enterprise, and Devstral for robust enterprise and developer use cases, including the integration of connectors, RAG patterns, and compliance standards.
This live, instructor-led training in Prague empowers intermediate professionals with the expertise to deploy Ollama securely. Participants will learn to apply differential privacy, establish secure logging practices, and enforce data access controls that meet regulatory compliance standards, ensuring robust performance in on-premises environments.
This introductory training on Prague empowers project managers to utilize Claude AI for strategic planning and essential tasks. The course covers documentation drafting, risk analysis, and agile sprint support through guided hands-on exercises and practical scenarios.
This live training in Prague focuses on embedding Mistral conversational assistants into enterprise workflows. Learners will explore connecting SaaS tools, applying retrieval-augmented generation, and crafting effective UX patterns for both internal and customer-facing chat interfaces.
This live, instructor-led session in Prague assists intermediate professionals in mastering prompt engineering for Ollama. Participants will learn to create effective prompts, utilize chain-of-thought methods, and handle context windows. They will also build multi-stage pipelines and optimize outputs through practical exercises.
This instructor-led, live training in Prague 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.
Gain proficiency in LangGraph for legal contexts through this 35-hour, instructor-led training in Prague. Designed for intermediate to advanced professionals, the curriculum addresses workflow design, compliance safeguards, and human-in-the-loop validations. Empower yourself to build auditable, production-grade LLM solutions with assured reliability.
This live Mistral Responsible AI training in Prague is specifically designed for compliance and security professionals. You will gain proficiency in privacy-preserving techniques, data residency strategies, and enterprise controls such as RBAC and SSO, ensuring secure and compliant AI deployment.
This instructor-led training in Prague focuses on scaling Ollama deployments for high-throughput, cost-efficient environments. Participants will explore GPU optimization, Kubernetes deployment, autoscaling, and monitoring strategies to construct resilient LLM infrastructure capable of handling multi-user workloads.
This instructor-led training on Prague focuses on deploying and optimizing CV and NLP models using the CANN SDK for Ascend hardware. Attendees will master model conversion, integration into live pipelines, and strategies to boost inference performance for real-time detection and analysis.
This live training on Claude AI in Prague 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 course on Prague empowers professionals to design LangGraph-based financial solutions. Learners acquire the skills to implement workflows aligned with regulatory requirements, integrate data standards, and deploy systems with robust governance, observability, and compliance controls.
This instructor-led training in Prague guides advanced ML engineers and AI researchers through the process of building multimodal applications with Ollama. Participants will learn to set up local models, integrate text and image inputs, and design visual QA systems and agents for real-world deployment.
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 Prague.
This instructor-led, live training in Prague (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 advanced instructor-led training in Prague focuses on diagnosing, testing, and evaluating local Ollama deployments. It covers systematic debugging, robust evaluation pipelines, observability, and automated CI/CD integration to ensure production reliability and operational readiness.
This instructor-led, live training in Prague (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 training in Prague is designed for ML engineers aiming to master the self-hosting and fine-tuning of Devstral and Mistral models. Learners will acquire practical skills in governance, monitoring, and compliance, enabling them to deploy open-source AI solutions with confidence in production settings.
Discover how LangGraph applies to healthcare in this live training held in Prague, designed for intermediate to advanced professionals. Gain expertise in designing stateful, compliant workflows, integrating standards like FHIR and SNOMED CT, and navigating ethical and operational complexities within regulated environments.
This live, instructor-led training in Prague is tailored for advanced AI platform engineers, DevOps specialists for AI, and ML architects who seek to optimize, debug, monitor, and operate production-grade LangGraph systems for stateful, multi-actor LLM applications structured as composable graphs.
This instructor-led, live training in Prague (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 Prague (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.
Gain mastery over cost-efficient Mistral LLM architectures through this 14-hour live session in Prague. Discover how to deploy, optimize, and scale Mistral Medium 3 to maximize throughput and minimize costs, leveraging batching, quantization, and streamlined serving strategies for enterprise-grade workloads.
This instructor-led, live training in Prague (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 Prague (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 session in Prague explores the application of LangGraph in marketing automation. Learners will acquire the skills to create conditional content workflows, leverage LLMs for personalized email campaigns, and manage state within multi-step pipelines, thereby gaining practical expertise for contemporary marketing needs.
This live training on Prague explores Le Chat Enterprise, a private ChatOps platform for secure, governed conversational AI. Participants will learn to deploy, configure, and integrate the solution with enterprise applications, enabling RBAC, SSO, and compliance-focused controls to support scalable and secure AI workflows.
Gain mastery over Devstral through this live training held in Prague. The program delves into architecture, agentic workflow design, and tool integration. Perfect for advanced engineers, the course utilizes hands-on labs to construct coding agents that drive productivity and security within contemporary development ecosystems.
This instructor-led live training in Prague (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 Prague (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 live course, delivered online or onsite in Prague, guides intermediate engineers in developing dynamic LLM workflows using LangGraph. Participants will learn to design stateful graphs, implement branching logic, and integrate retrieval systems, APIs, and memory components to build robust, context-aware applications.
This instructor-led, live training in Prague (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 Prague (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 LangGraph Fundamentals course based in Prague empowers developers to construct graph-based LLM applications. Gain proficiency in core concepts such as nodes, edges, state management, and branching logic. Learn to integrate tools, retrieval systems, and external APIs, then validate and deploy dependable workflows through practical, hands-on labs.
This instructor-led training in Prague enables advanced AI engineers to deploy and secure Mistral Medium 3. Learn to optimize 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 Prague (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 foundational course in Prague that delves into the basics of AI, ranging from intelligent agents to machine learning. It prepares executives and architects to evaluate emerging AI trends, implement practical solutions, and enhance business agility through automated strategies.
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 Prague, 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 Prague (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.
This 2-day program in Prague guides professionals from casual AI usage to strategic integration. It covers advanced prompting, persistent workspaces, and automation via Cowork. Includes 9 hands-on exercises focusing on Microsoft 365 integration to enhance productivity.
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 Prague 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 Prague (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.
This practical NLP training in Prague focuses on corpus analysis, sentence structure parsing, and dimensionality reduction via SVD and NMF. It walks participants through Python-based implementations of clustering, topic modeling, and sentiment analysis to develop robust intelligent text analytics systems.
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.
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Testimonials (3)
Getting people that never used AI some repetition in prompting and people that do use AI to consider different methods to using it.
Matthew Gay - Tarsus Pharmaceuticals
Course - Artificial Intelligence (AI) Overview
Examples and links excel repository
Olga - GE HealthCare
Course - Generative AI with Large Language Models (LLMs)
This is one of the best hands-on with exercises programming courses I have ever taken.
Laura Kahn
Course - Artificial Intelligence - the most applied stuff - Data Analysis + Distributed AI + NLP
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