Natural Language Processing (NLP) Training in Turin

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

This live training in Turin empowers healthcare practitioners and IT teams to deploy Ollama for local LLM implementation. You will learn to integrate AI into clinical workflows, tailor models for specific duties, and maintain strict data privacy and regulatory compliance within secure healthcare environments.

This practical workshop in Turin is crafted for intermediate to advanced professionals focused on creating, deploying, and maintaining AI agents. Participants will learn to harness Mistral Medium 3, Le Chat Enterprise, and Devstral to solve complex enterprise and developer challenges, while integrating connectors, RAG patterns, and compliance standards.

This live session on Turin focuses on embedding Mistral conversational assistants into enterprise workflows. Attendees will gain the skills to link SaaS platforms, apply retrieval-augmented generation, and craft effective UX patterns for both customer-facing and internal chat interfaces.

This live, instructor-led training in Turin is tailored to help beginners effectively apply Claude AI to customer support and service operations. Participants will gain the skills to automate triage, craft tone-appropriate responses, and embed AI into existing workflows through practical, hands-on exercises.

This live Mistral Responsible AI training in Turin is designed for compliance and security leaders. Participants will gain mastery in privacy-preserving techniques, data residency strategies, and enterprise controls such as RBAC and SSO, ensuring the secure and compliant deployment of AI.

This live Claude AI training in Turin empowers professionals to apply the tool for data analysis and BI tasks. It encompasses 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.

Acquire the skills to construct multimodal applications leveraging Mistral models, with a focus on OCR, document understanding, and vision-text search. This practical training session addresses pipeline implementation, NLP integration, and enterprise-grade architecture, available either online or at Turin.

This instructor-led live training in Turin (online or on-site) targets intermediate-level data scientists and developers interested in implementing NLP techniques using Python within Google Colab.

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

• Understand 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 Turin (online or onsite) is designed for intermediate researchers, analysts, and knowledge workers who wish to leverage Claude AI for processing large volumes 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.

Targeted at ML engineers, this instructor-led training in Turin focuses on mastering the self-hosting and fine-tuning of Devstral and Mistral models. Learners will acquire practical skills in governance, monitoring, and compliance to confidently deploy open-source AI in production settings.

This instructor-led, live training in Turin (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 Turin (online or onsite) is aimed at advanced 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 Turin. Develop the skills to deploy, optimize, and scale Mistral Medium 3 for peak throughput and minimal cost, utilizing batching, quantization, and streamlined serving strategies for enterprise-grade workloads.

This instructor-led, live training in Turin (online or in-person) 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 Turin (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.

By the end 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 Turin 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.

Master Devstral in this live training session held in Turin. The curriculum covers architecture, agentic workflow design, and tool integration. Designed for advanced engineers, the course utilizes hands-on labs to build coding agents that enhance productivity and security in modern development environments.

This instructor-led, live training in Turin (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 Turin (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 Turin (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 Turin (online or onsite) is designed for intermediate-level professionals who want 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 enhance model performance.
• Evaluate and deploy fine-tuned models in real-world scenarios.

This instructor-led workshop in Turin empowers senior AI engineers to deploy and safeguard Mistral Medium 3. Learn to optimize inference expenses, build multimodal workflows, and adhere to enterprise compliance standards. Features practical labs for both API and self-hosted configurations.

This instructor-led, live training in Turin (online or onsite) targets beginner-level professionals aiming to install, configure, and utilize Ollama for running AI models on their local machines.

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

• Grasp 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 proficient with AI coding tools like Cursor, Claude Code, or Copilot. Participants will learn how to delegate complete tasks to agents, construct a personalization stack (including Rules, AGENTS.md, Skills, MCP, and Agents), connect and develop MCP servers, execute agents in parallel, and implement structured agentic workflows. The content is tool-agnostic and builds upon the Foundations course.

This two-day introductory course is designed for individuals new to AI-assisted software development, including those with little to no coding background. It explores the mechanics of these tools, teaches how to guide them effectively through prompting, and demonstrates practical applications for common tasks: creating a small project from the ground up, integrating into existing codebases, and critically reviewing outcomes. The curriculum is tool-agnostic, making it applicable to Cursor, Claude Code, Copilot, and similar platforms. This course serves as a prerequisite for the Agentic AI Development: Advanced Workflows module.

This two-stage training program is designed for software delivery teams aiming to integrate AI-assisted engineering workflows into their daily operations using Claude Code.

This course in Turin delivers comprehensive AI training, covering data analysis, distributed machine learning, and natural language processing to help developers construct large-scale intelligent systems. It provides a deep dive into practical methods for Spark MLlib, recommendation engines, Word2Vec for semantic analysis, and RNN-LSTM architectures, enabling professionals to convert raw data into automated decision pipelines ready for production deployment and significantly enhancing core capabilities in building intelligent systems.

This live, instructor-led training in Turin is designed for intermediate developers seeking to design, build, and test AI agents using the Claude API and the Agent SDK.

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

• Interact with the Messages API using system prompts, structured outputs, and streaming
• Define tools and create a dependable tool-use loop
• Link agents to external systems via MCP servers
• Develop and deploy agents with the Claude Agent SDK, handling permissions and subagents
• Minimize costs and latency by leveraging prompt caching and optimal context handling
• Test, log, and monitor agent behavior using a compact evaluation set

This live, instructor-led training held in Turin is specifically designed for intermediate-to-advanced developers and tech leads seeking to configure and scale Claude Code for dependable team usage.

By the conclusion of this session, participants will gain the ability to:

• Structure CLAUDE.md files, settings, and permissions for both repositories and broader teams
• Build custom subagents with targeted roles and controlled tool access
• Develop hooks that automatically enforce formatting, testing, and safety protocols
• Package repetitive workflows into Skills, slash commands, and plugins
• Connect Claude Code to external systems via MCP servers
• Execute Claude Code non-interactively in scripts and CI pipelines, along with critically reviewing its output

This live, instructor-led training in Turin is tailored for business users aiming to build simple internal tools and prototypes.

Upon completion, participants will be able to:

• Describe a tool concept so that AI can construct it.
• Create a working prototype using Lovable.
• Utilize Claude Code for simple helper tools with guidance.
• Determine when a prototype requires developer assistance.

This live, instructor-led training in Turin is tailored for: professionals and managers who intend to assign complete tasks to Claude.

Following this training, participants will have the ability to:

• Recognize what Claude Cowork can accomplish independently
• Delegate investigations, document handling, and file tasks
• Plan, assess, and amend delegated work
• Understand limitations and secure usage protocols

Claude Cowork extends its utility beyond answering individual prompts to managing complete workflows, such as research, document creation, and file operations. This course instructs participants on how to draft effective task briefs, monitor execution plans, and validate final deliverables. Learners will delegate three practical assignments and configure an automated recurring task.

This instructor-led live session in Turin, available online or on-site, is designed for knowledge workers, assistants, and team leads looking to transition from step-by-step chat-based interactions to fully delegated task management.

Upon completion, participants will be equipped to:

• Distinguish between conversational chat and delegated execution within Cowork
• Draft precise assignments defining objectives, source materials, constraints, and success criteria
• Generate documents, spreadsheets, and presentations directly from a specified folder
• Manage research processes from initial inquiry to polished final report
• Leverage plugins, specific skills, and integrations within the Cowork environment
• Establish governance controls, including approval checkpoints, backup strategies, and secure folder permissions

Course Structure

• Duration: One day (7 hours)
• Interactive workshops featuring expert guidance, collaborative discussions, and practical exercises tailored to participants' specific use cases
• Day 1 Deliverable: Each learner will have delegated three real-world tasks to Cowork, audited the results, and implemented a scheduled recurring task.

Customization Options

• Contact us to discuss and arrange bespoke training tailored to this curriculum.

Ollama is an open-source utility designed for running large language models locally on consumer and enterprise hardware. It streamlines the complexities of model quantization, GPU allocation, and API serving through a single command-line interface. This enables organizations to self-host LLMs like Llama, Mistral, and Qwen, ensuring that prompts and data remain internal rather than being sent to OpenAI, Anthropic, or Google.