Natural Language Processing (NLP) Training in Tours

This instructor-led live training in Tours empowers finance professionals and IT staff with the necessary skills to deploy Ollama locally. Learners will discover how to install, configure, and embed large language models into secure financial workflows, while adhering to best practices for regulatory compliance and process automation.

This live training in Tours equips healthcare professionals and IT teams to deploy Ollama for local LLMs. The curriculum covers integrating AI into clinical workflows, customizing models for specialized tasks, and upholding strict data privacy and regulatory standards within secure medical settings.

This practical training in Tours is designed for intermediate to advanced professionals seeking to build, deploy, and manage AI agents. Discover how to utilize Mistral Medium 3, Le Chat Enterprise, and Devstral to create robust solutions for enterprise and developer contexts, focusing on connector integration, RAG patterns, and compliance.

This live training in Tours focuses on embedding Mistral conversational assistants into enterprise workflows. Learners will master connecting SaaS tools, implementing retrieval-augmented generation, and designing effective UX patterns for both customer-facing and internal chat interfaces.

This live, instructor-led session in Tours empowers beginners to integrate Claude AI into their customer support and service operations. Learners will gain the skills to automate triage, draft responses with appropriate tone, and embed AI solutions into current workflows through practical, hands-on activities.

This live Mistral Responsible AI training in Tours is tailored for compliance and security leads. You will master privacy-preserving techniques, data residency strategies, and enterprise controls such as RBAC and SSO to ensure secure, compliant AI deployment.

This live training on Claude AI in Tours empowers professionals to integrate the tool into their data analysis and BI operations. 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.

Discover how to build multimodal applications using Mistral models, with a focus 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 Tours.

This instructor-led live training in Tours (online or onsite) is designed for intermediate-level data scientists and developers who aim to apply NLP techniques using Python in Google Colab.

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

• Comprehend 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 Tours (online or onsite) targets intermediate-level researchers, analysts, and knowledge workers aiming to utilize Claude AI for processing vast amounts of data, synthesizing information, and automating research tasks.

Upon completing this training, participants will be capable of:

• Utilizing Claude AI for literature reviews and research synthesis.
• Summarizing reports, academic papers, and lengthy documents.
• Extracting key insights and trends from both structured and unstructured data.
• Integrating Claude AI into research and knowledge management workflows.

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

This instructor-led, live training in Tours (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 Tours (online or onsite) targets advanced professionals aiming to fine-tune and customize AI models on Ollama for improved 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 expertise in cost-efficient Mistral LLM architectures through this 14-hour live session in Tours. Discover how to deploy, optimize, and scale Mistral Medium 3 for optimal throughput and minimal cost, leveraging batching, quantization, and efficient serving strategies for enterprise needs.

This instructor-led, live training in Tours (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 Tours (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 improve software functionality using AI-driven automation.

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

• Use 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 different use cases.

This live training in Tours covers Le Chat Enterprise, a private ChatOps solution for secure, governed conversational AI. Learners will deploy, configure, and integrate it with enterprise apps, enabling RBAC, SSO, and compliance-driven controls for scalable, secure AI workflows.

Gain mastery over Devstral through this live training session held in Tours. The curriculum addresses system architecture, agentic workflow design, and tool integration. Perfect for advanced engineers, the course utilizes hands-on labs to construct coding agents that improve both productivity and security within contemporary development environments.

This instructor-led, live training in Tours (online or onsite) is designed for 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 Tours (online or onsite) is aimed at intermediate-level professionals who wish 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 Tours (online or onsite) is designed for intermediate-level data scientists, AI developers, and AI enthusiasts who wish to utilize LLMs for various NLP tasks and create novel, 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 Tours (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:

• Grasp the fundamentals of fine-tuning for NLP tasks.
• Apply fine-tuning techniques to pre-trained models like GPT, BERT, and T5 for targeted NLP applications.
• Tune hyperparameters to boost model performance.
• Assess and deploy fine-tuned models in practical, real-world settings.

This instructor-led training in Tours equips advanced AI engineers with the skills to deploy and secure Mistral Medium 3. Participants will learn to optimize inference expenditures, build multimodal applications, and implement enterprise-grade compliance measures. The course features hands-on labs focused on both API integration and self-hosted configurations.

This instructor-led, live training in Tours (online or onsite) is designed for beginner-level professionals who want 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:

• 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 two-day program designed for developers who are already utilizing AI coding assistants like Cursor, Claude Code, or Copilot. The course explores delegating full tasks to agents, constructing a personalization stack (Rules, AGENTS.md, Skills, MCP, Agents), developing and connecting MCP servers, executing agents in parallel, and implementing structured agentic workflows. The curriculum remains tool-agnostic and builds upon the Foundations course.

This two-day program offers a fundamental overview of AI-assisted software development, catering to those unfamiliar with these tools, including individuals with limited coding experience. The content explores the underlying functionality of the tools, techniques for guiding them via prompts, and methods for applying them to routine tasks. These include developing small projects from scratch, integrating into existing codebases, and evaluating the outcomes. The material remains tool-agnostic, suitable for use with Cursor, Claude Code, Copilot, and comparable utilities. It is designed to precede the Agentic AI Development: Advanced Workflows course.

Geared toward software delivery teams, this two-phase educational program enables the integration of AI-assisted engineering workflows into routine activities using Claude Code.

This course provides Artificial Intelligence technical training Tours, covering data analysis, distributed machine learning, and natural language processing to help developers build large-scale intelligent systems. The content explores practical methods for Spark MLlib, recommendation engines, Word2Vec semantic analysis, and RNN-LSTM architectures, enabling professionals to transform raw data into automated decision-making pipelines ready for production deployment, thereby comprehensively enhancing core competencies in building intelligent systems.

This instructor-led, live training in Tours is targeted at intermediate-level developers who intend to design, develop, and test AI agents using the Claude API and the Agent SDK.

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

• Utilize the Messages API with system prompts, structured outputs, and streaming
• Define tools and establish a dependable tool-use loop
• Link agents to external systems through MCP servers
• Develop and operate agents using the Claude Agent SDK, including permissions and subagents
• Minimize cost and latency via prompt caching and optimized context handling
• Test, log, and monitor agent behavior using a small evaluation set

This instructor-led, live training in Tours is designed for intermediate to advanced developers and tech leads aiming to configure and scale Claude Code for reliable team-wide usage.

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

• Structure CLAUDE.md files, settings, and permissions for repositories and teams
• Create custom subagents with specific roles and tool access
• Develop hooks that automatically enforce formatting, tests, and safety rules
• 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 critically review its output

Conducted live and led by an instructor in Tours, this training is tailored for business users aiming to construct simple internal tools and prototypes.

By the conclusion of the course, participants will have the ability to:

• Provide a clear description of a small tool that allows AI to build it
• Create a working prototype using Lovable
• Employ Claude Code for simple helper tools with appropriate guidance
• Determine when a prototype requires the assistance of a developer

This live, instructor-led training in Tours is tailored for professionals and leaders who wish to assign complete workflows to Claude.

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

• Grasp the autonomous capabilities of Claude Cowork
• Assign research, documentation, and file management tasks
• Strategize, evaluate, and refine delegated outputs
• Understand operational boundaries and best practices for secure usage

Rather than processing single prompts, Claude Cowork assumes end-to-end responsibilities for research, document creation, and file management. This training guides you through crafting effective briefs, monitoring execution plans, and validating outputs. Learners will delegate three practical assignments and configure automated recurring tasks.

Delivered by an expert trainer in a live format in Tours, this session is designed for knowledge workers, assistants, and team leads who prefer delegating complete workflows to Claude over iterative step-by-step conversations.

Upon completion, participants will be able to:

• Distinguish between interactive chat and delegated work within Cowork
• Draft assignments that clearly define objectives, inputs, constraints, and success criteria
• Generate documents, spreadsheets, and presentations from existing folder content
• Delegate research processes from initial inquiry to final report delivery
• Leverage plugins, skills, and connectors within the Cowork ecosystem
• Establish approval checkpoints, backup protocols, and secure folder access controls

Training Structure

• Duration: 1 day (7 hours)
• Interactive workshop featuring live instruction, collaborative discussions, and hands-on exercises tailored to participants' specific use cases
• Day 1 Outcome: Each participant will have delegated three real-world tasks to Cowork, verified the outputs, and implemented a scheduled automation.

Customization Options

• Please reach out to discuss requirements for a tailored training experience.

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