Natural Language Processing (NLP) Training in Patras

Through this instructor-led live session in Patras, finance experts and IT staff will master the local implementation of Ollama. The curriculum covers the deployment, configuration, and integration of large language models into secure financial workflows, emphasizing best practices for regulatory compliance and process automation.

This live training session on Patras supports healthcare practitioners and IT teams in implementing Ollama for local LLMs. Discover how to integrate AI into clinical workflows, tailor models for specific duties, and maintain rigorous data privacy and regulatory compliance within secure healthcare settings.

This instructor-led training in Patras delves into responsible AI principles for Ollama, with a focus on fairness, transparency, and accountability. Through hands-on labs and case studies, participants will design governance workflows, implement bias mitigation techniques, and establish compliance monitoring frameworks.

This hands-on training in Patras is designed for intermediate to advanced professionals focused on building, deploying, and managing AI agents. Participants will learn to utilize Mistral Medium 3, Le Chat Enterprise, and Devstral to address robust enterprise and developer use cases, including the integration of connectors, RAG patterns, and compliance measures.

This instructor-led, live training in Patras equips intermediate professionals with the skills to deploy Ollama securely. Learn to apply differential privacy, implement secure logging, and enforce data access controls aligned with regulatory compliance requirements for robust on-prem environments.

This live training session in Patras explores the integration of Mistral’s conversational assistants into enterprise environments. Learners will gain skills in connecting SaaS applications, implementing retrieval-augmented generation, and designing robust UX patterns for both customer-facing and internal chat interfaces.

This live, instructor-led training in Patras is designed to help beginners effectively apply Claude AI to enhance customer support and service operations. Through practical, hands-on exercises, participants will master the skills to automate triage processes, craft tone-appropriate responses, and integrate AI solutions into their existing operational workflows.

Develop expertise in LangGraph for legal applications through this 35-hour instructor-led program in Patras. Designed for intermediate to advanced professionals, the course delves into workflow design, compliance controls, and human-in-the-loop approval structures. Gain the confidence to build auditable, production-ready LLM solutions.

This live Mistral Responsible AI training in Patras 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 to guarantee secure and compliant AI implementations.

This live training on Claude AI in Patras empowers professionals to harness the tool for data analysis and BI objectives. The curriculum 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 training in Patras empowers professionals to craft LangGraph-based finance solutions. Participants will learn to implement workflows that align with regulatory requirements, integrate data standards, and deploy systems featuring robust governance, observability, and compliance controls.

Master the creation of multimodal applications using Mistral models, with a focus on OCR, document understanding, and vision-text search. This hands-on training guides you through pipeline implementation, NLP integration, and enterprise-grade design, delivered either online or in Patras.

This instructor-led live training in Patras (online or on-site) is tailored for intermediate data scientists and developers seeking to apply NLP techniques using Python in Google Colab.

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

• Comprehend the core concepts of natural language processing.
• Preprocess and clean text data for NLP applications.
• Perform sentiment analysis using the NLTK and SpaCy libraries.
• Manage text data using Google Colab to support scalable and collaborative development.

This advanced instructor-led training in Patras 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 Patras (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 Patras is designed for ML engineers aiming to master the self-hosting and fine-tuning of Devstral and Mistral models. Participants will gain practical skills in governance, monitoring, and compliance to confidently deploy open-source AI in production environments.

Dive into LangGraph for healthcare through this live training in Patras, designed for intermediate to advanced professionals. Discover how to craft stateful, compliant workflows, integrate key standards like FHIR and SNOMED CT, and tackle ethical and operational challenges within regulated environments.

This instructor-led live training in Patras is designed for advanced AI platform engineers, AI DevOps professionals, and ML architects who wish 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 Patras (online or onsite) targets beginner to intermediate content creators, writers, and marketers who wish 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 Patras (online or onsite) is designed for advanced professionals seeking to fine-tune and customize AI models on Ollama for improved performance and domain-specific applications.

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

• Establish an efficient environment for fine-tuning AI models on Ollama.
• Prepare datasets suitable for supervised fine-tuning and reinforcement learning.
• Optimize AI models to enhance performance, accuracy, and efficiency.
• Deploy customized models within production environments.
• Assess model improvements and guarantee robustness.

Acquire expertise in cost-efficient Mistral LLM architectures through this 14-hour live session in Patras. Participants will learn to deploy, optimize, and scale Mistral Medium 3 to maximize throughput and minimize costs, leveraging batching, quantization, and efficient serving techniques for enterprise applications.

This instructor-led, live training in Patras (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.
• Optimise 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 Patras (online or onsite) is designed for intermediate-level software developers and AI engineers seeking to integrate Claude AI into their apps, build AI-driven chatbots, and enhance software functionality with AI automation.

Upon completion, participants will be able to:

• Utilize the Claude AI API to embed AI features into applications.
• Create AI-driven chatbots and virtual assistants.
• Boost applications with AI automation and NLP.
• Tune and optimize Claude AI models for various scenarios.

This live training in Patras focuses on Le Chat Enterprise, a private ChatOps solution for secure and governed conversational AI. Participants will learn to deploy, configure, and integrate the platform with enterprise applications, enabling RBAC, SSO, and compliance-driven controls to establish scalable and secure AI workflows.

Gain mastery over Devstral in this live training conducted in Patras. The curriculum encompasses architecture, agentic workflow design, and tool integration. Specifically designed for advanced engineers, the course utilizes hands-on labs to construct coding agents that elevate productivity and security within contemporary development environments.

This instructor-led, live training in Patras (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 Patras (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.
• Optimise 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, online or onsite course in Patras guides intermediate engineers through building dynamic LLM workflows with LangGraph. Learn to design stateful graphs, implement branching logic, and integrate retrieval, APIs, and memory for robust, context-aware applications.

This instructor-led, live training in Patras (online or onsite) is designed for intermediate-level data scientists, AI developers, and AI enthusiasts who aim to leverage LLMs for various NLP tasks and to create novel, diverse content for specific applications.

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

• Set up a development environment equipped with LLMs and essential tools.
• Expertly execute NLU and NLI tasks using LLMs.
• Effectively extract, infer, and utilize knowledge graphs.
• Generate and manage dialogues using LLMs for conversational applications.
• Evaluate the quality and diversity of content generated by LLMs and generative AI.
• Apply ethical principles to ensure fairness and responsible use of LLMs.

This instructor-led, live training in Patras (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 live, instructor-led program in Patras empowers senior AI engineers to deploy and secure Mistral Medium 3 with confidence. Learners will focus on optimizing inference costs, building multimodal solutions, and adhering to enterprise compliance standards, supported by practical labs covering both API and self-hosted architectures.

This instructor-led live training in Patras (offered online or onsite) is targeted at beginner-level professionals who wish to install, configure, and utilize Ollama for operating AI models on their local machines.

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

• Comprehend the fundamentals of Ollama and its operational capabilities.
• Establish Ollama for executing local AI models.
• Deploy and interact with LLMs using Ollama.
• Optimize performance and resource allocation for AI workloads.
• Explore use cases for local AI deployment across various industries.

This two-day course is designed for developers who are already utilising AI coding tools such as Cursor, Claude Code, or Copilot. The curriculum focuses on delegating comprehensive tasks to agents, constructing the personalisation stack (including Rules, AGENTS.md, Skills, MCP, and Agents), connecting and developing MCP servers, executing agents in parallel, and implementing structured agentic workflows. The content is tool-agnostic and serves as a follow-up to the Foundations course.

This two-day introductory course is designed for individuals new to AI-assisted development tools, including those with limited or no coding experience. It explores the underlying mechanics of these tools, strategies for effective prompting, and practical applications for common tasks such as building small projects from the ground up, navigating existing codebases, and critically reviewing outcomes. The curriculum is tool-agnostic, ensuring applicability to platforms like Cursor, Claude Code, and Copilot. This module serves as a prerequisite for the advanced course on Agentic AI Development: Advanced Workflows.

This two-part training series is tailored for software delivery teams aiming to embed AI-supported engineering practices into their routine operations via Claude Code.

This course Patras offers AI technical training, covering data analysis, distributed machine learning, and Natural Language Processing (NLP) to assist developers in constructing large-scale intelligent systems. It delves into practical applications of Spark MLlib, recommendation engines, Word2Vec semantic analysis, and RNN-LSTM architectures. The aim is to empower professionals to transform raw data into decision-making pipelines that are ready for production deployment, comprehensively enhancing the core capabilities required to build intelligent systems

This instructor-led, live training in Patras targets intermediate-level developers looking to design, build, and test AI agents using the Claude API and the Agent SDK.

Upon completing this training, participants will be equipped to:

• Integrate the Messages API utilizing system prompts, structured output, and streaming
• Design tools and establish a dependable tool-use loop
• Link agents to external systems via MCP servers
• Develop and execute agents with the Claude Agent SDK, covering permissions and subagents
• Optimize cost 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 Patras is designed for intermediate to advanced developers and tech leads looking to configure and scale Claude Code for consistent team usage.

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 defined roles and tool access
• Write hooks that automatically enforce formatting, testing, and safety rules
• Package recurring workflows as Skills, slash commands, and plugins
• Connect Claude Code to external systems via MCP servers
• Run Claude Code non-interactively in scripts and CI pipelines, critically reviewing its output

This facilitated, live workshop in Patras is specifically designed for business users aiming to develop basic internal tools and prototypes without coding.

By the conclusion of the session, attendees will be equipped to:

• Define a small tool clearly enough for AI to construct it
• Create an operational prototype utilizing Lovable
• Employ Claude Code for straightforward helper applications with guided support
• Recognize when a prototype exceeds AI capabilities and needs developer input

This live, instructor-led training in Patras is tailored for professionals and managers aiming to delegate full task cycles to Claude.

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

• Identifying the independent functions of Claude Cowork
• Delegating duties involving research, documents, and files
• Planning, verifying, and adjusting delegated outcomes
• Recognizing limitations and ensuring safe implementation

Claude Cowork enables the delegation of end-to-end tasks, including research, document preparation, and file operations, moving beyond single-prompt responses. This course focuses on creating precise task descriptions, validating plans, and reviewing final results. Participants will complete three practical delegations and configure a scheduled task.

This live, instructor-led training in Patras is designed for professionals seeking to hand over entire workflows to Claude instead of managing them through iterative chat.

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

• Understand the distinction between chat-based interaction and delegated work in Cowork
• Define assignments with specific goals, materials, boundaries, and acceptance criteria
• Create documents, spreadsheets, and presentations from a specified folder
• Manage research from question formulation to final report generation
• Utilize plugins, skills, and connectors within Cowork
• Configure approval points, backups, and secure access controls

Course Format

• Duration: 1 day (7 hours)
• Interactive training with a trainer, including discussions and practical exercises on personal use cases
• Day 1 Outcome: Participants will have delegated three real tasks, reviewed the results, and set up a scheduled task.

Customization Options

• Contact us to arrange customized training for this course.

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