Online or onsite, instructor-led live Natural Language Processing (NLP) training courses demonstrate through interactive discussion and hands-on practice how to extract insights and meaning from this data. Utilizing different programming languages such as Python and R and Natural Language Processing (NLP) libraries, our trainings combine concepts and techniques from computer science, artificial intelligence, and computational linguistics to help participants understand the meaning behind text data. NLP trainings walk participants step-by-step through the process of evaluating and applying the right algorithms to analyze data and report on its significance.
NLP training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Natural Language Processing (NLP) trainings in Nantes can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Nantes, Zenith
NobleProg Nantes, 4 rue Edith Piaf, Saint-Herblain, france, 44821
In the Parc d'Ar Mor zone, near the Zénith.
Car : from the ring road, Porte de Chézine Exit> Boulevard du Zenith > Esplanade Georges Brassens (restaurants) > Rue Edith Piaf on the right. From the N444 road (Nantes > Lorient), Exit #1 > boulevard Marcel Paul > Rue Edith Piaf at the right.
Parking Zénith P1 (free). Once parked, you can recognize the building: it's one of the tree bulding with zinc frontage.
Bicycle: free indoor parking
Public transport :
Tramway R1, Schoelcher station + 10 mn by foot through commercial center Atlantis
Tramway R1, François Mitterrand stop + bus 50, stop at Saulzaie station or bus 71, stop at the Zénith station
Tramway R3, Marcel Paul station + bus 50, Saulzaie station
Chronobus C6, Hermeland station+ bus 71, Zénith station
Bus : lignes 50 (Saulzaie station) or 71 (Zénith station)
Ollama serves as a lightweight platform designed for running large language models locally.
This instructor-led, live training session (available online or on-site) is tailored for intermediate-level finance practitioners and IT professionals seeking to implement, customize, and operationalize AI solutions based on Ollama within financial settings.
Upon completion of this training, participants will acquire the necessary skills to:
Deploy and configure Ollama for secure integration into financial operations.
Incorporate local LLMs into analytical and reporting workflows.
Adapt models to meet finance-specific terminology and operational tasks.
Apply best practices regarding security, privacy, and compliance.
Course Format
Interactive lectures and discussions.
Practical exercises using financial data.
Live laboratory implementation focused on finance scenarios.
Course Customization Options
To request a customized training version of this course, please contact us to arrange.
Ollama is a lightweight platform designed for running large language models locally.
This instructor-led live training (available online or onsite) targets intermediate-level healthcare practitioners and IT teams seeking to deploy, customize, and operationalize Ollama-based AI solutions within clinical and administrative environments.
Upon completion of this training, participants will be able to:
Install and configure Ollama for secure use in healthcare settings.
Integrate local LLMs into clinical workflows and administrative processes.
Customize models for healthcare-specific terminology and tasks.
Apply best practices for privacy, security, and regulatory compliance.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Hands-on demonstrations and guided exercises.
Practical implementation in a sandboxed healthcare simulation environment.
Course Customization Options
To request customized training for this course, please contact us to arrange.
Ollama serves as a platform for executing large language and multimodal models locally, while supporting governance and responsible AI practices.
This instructor-led, live training (available online or onsite) targets intermediate to advanced professionals aiming to embed fairness, transparency, and accountability into Ollama-powered applications.
Upon completing this training, participants will be equipped to:
Apply responsible AI principles in Ollama deployments.
Implement content filtering and bias mitigation strategies.
Design governance workflows for AI alignment and auditability.
Establish monitoring and reporting frameworks for compliance.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Hands-on governance workflow design labs.
Case studies and compliance-focused exercises.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Mistral AI offers a robust suite of open-source and enterprise-grade AI models designed for language processing, multimodal applications, and agentic workflows.
This instructor-led live training, available online or onsite, is tailored for intermediate to advanced professionals aiming to construct, deploy, and manage AI agents utilizing Mistral’s Medium 3, Le Chat Enterprise, and Devstral models.
Upon completing this training, participants will be equipped to:
Grasp the architecture and capabilities of Mistral Medium 3, Le Chat Enterprise, and Devstral.
Design and implement AI agents using Mistral models for both enterprise and developer scenarios.
Integrate coding systems, connectors, and enterprise data into agent workflows.
Optimize the performance, cost-efficiency, and compliance of Mistral-powered agents.
Course Format
Interactive lectures and discussions.
Extensive exercises and practical practice.
Hands-on implementation within a live lab environment.
Customization Options
To request customized training for this course, please contact us to arrange.
Ollama is a platform designed for running large language and multimodal models locally, while also supporting secure deployment strategies.
This instructor-led live training (available online or on-site) targets intermediate-level professionals looking to deploy Ollama with robust data privacy and regulatory compliance measures.
Upon completing this training, participants will be able to:
Securely deploy Ollama in containerized and on-premises environments.
Apply differential privacy techniques to protect sensitive data.
Implement secure logging, monitoring, and auditing practices.
Enforce data access controls in alignment with compliance requirements.
Course Format
Interactive lectures and discussions.
Hands-on labs focused on secure deployment patterns.
Compliance-oriented case studies and practical exercises.
Course Customization Options
To request customized training for this course, please contact us to arrange.
Claude AI is an advanced language model designed to support complex analytical, strategic, and organizational tasks.
This instructor-led, live training (online or onsite) is aimed at beginner-level project management and planning professionals who wish to use Claude AI to strengthen project design, documentation, communication, and long-term planning activities.
Upon completing this training, participants will gain the ability to:
Create project documentation such as charters, briefs, and scopes using Claude AI.
Analyze risks, constraints, and dependencies with AI-supported reasoning.
Develop stakeholder communications and reporting outputs tailored to different audiences.
Use Claude AI to support sprint planning, prioritization, and roadmap refinement.
Format of the Course also allows for the evaluation of participants.
Instructor explanations combined with guided demonstrations.
Hands-on practice using real-world project management scenarios.
Structured exercises applying Claude AI in a live environment.
Course Customization Options
Custom scenarios, organization-specific templates, or industry-focused workflows can be integrated upon request.
Mistral AI serves as an open AI platform, empowering teams to construct and integrate conversational assistants into both enterprise and customer-facing workflows.
This instructor-led training, available online or onsite, targets beginner to intermediate product managers, full-stack developers, and integration engineers who aim to design, integrate, and productize conversational assistants utilizing Mistral connectors and integrations.
Upon completion of this training, participants will be capable of:
Integrating Mistral conversational models with enterprise and SaaS connectors.
Implementing retrieval-augmented generation (RAG) to ensure grounded responses.
Designing UX patterns for both internal and external chat assistants.
Deploying assistants into product workflows to address real-world use cases.
Format of the Course also allows for the evaluation of participants.
Interactive lectures and discussions.
Hands-on integration exercises.
Live-lab development of conversational assistants.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Ollama is a platform that enables running large language and multimodal models locally.
This instructor-led, live training (online or onsite) is aimed at intermediate-level practitioners who wish to master prompt engineering techniques to optimize Ollama outputs.
By the end of this training, participants will be able to:
Design effective prompts for diverse use cases.
Apply techniques such as priming and chain-of-thought structuring.
Implement prompt templates and context management strategies.
Build multi-stage prompting pipelines for complex workflows.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Hands-on exercises with prompt design.
Practical implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
This instructor-led, live training in Nantes (online or onsite) is aimed at beginner-level business analysts and automation engineers who wish to understand how to use LangChain and APIs for automating repetitive tasks and workflows.
By the end of this training, participants will be able to:
Understand the fundamentals of API integration with LangChain.
Automate repetitive workflows using LangChain and Python.
Utilize LangChain to connect various APIs for efficient business processes.
Create and automate custom workflows using APIs and LangChain’s automation capabilities.
Claude AI is a generative artificial intelligence system designed to support reasoning, content creation, knowledge retrieval, and workflow automation.
This instructor-led training session (available online or on-site) is targeted at beginner-level professionals looking to apply Claude AI to customer support and service operations tasks.
Upon completing this program, learners will be able to:
Use Claude to accelerate support triage and classification.
Create customer responses and summaries that maintain consistent tone.
Automate the drafting of tickets and knowledge retrieval processes.
Integrate Claude into existing customer support workflows.
Course Format
Guided lectures featuring real-world support scenarios.
Practical exercises based on enterprise service cases.
Hands-on practice using Claude in a simulated support environment.
Course Customization Options
If you require this course to be tailored to your organization’s support workflows, please contact us to discuss customization.
LangGraph is a framework designed for constructing stateful, multi-actor LLM applications as composable graphs, featuring persistent state and precise execution control.
This instructor-led live training, available both online and onsite, targets intermediate to advanced professionals who aim to design, implement, and manage LangGraph-based legal solutions, ensuring the necessary compliance, traceability, and governance controls are in place.
Upon completion of this training, participants will be able to:
Design legal-specific LangGraph workflows that maintain auditability and compliance.
Integrate legal ontologies and document standards into graph state and processing.
Implement guardrails, human-in-the-loop approvals, and traceable decision paths.
Deploy, monitor, and maintain LangGraph services in production environments with observability and cost controls.
Course Format
Interactive lectures and discussions.
Extensive exercises and practice sessions.
Hands-on implementation within a live laboratory environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Mistral AI offers an open, enterprise-grade AI platform designed to facilitate secure, compliant, and responsible AI deployment.
This instructor-led training (available online or onsite) targets intermediate-level compliance officers, security architects, and legal/operations stakeholders looking to implement responsible AI practices using Mistral's privacy, data residency, and enterprise control capabilities.
Upon completion of this training, participants will be able to:
Implement privacy-preserving techniques within Mistral deployments.
Apply data residency strategies to ensure regulatory compliance.
Establish enterprise-grade controls, including RBAC, SSO, and audit logs.
Evaluate vendor and deployment options to align with compliance requirements.
Format of the Course also allows for the evaluation of participants.
Interactive lectures and discussions.
Compliance-focused case studies and practical exercises.
Hands-on implementation of enterprise AI controls.
Course Customization Options
To request customized training for this course, please contact us to arrange.
Ollama is a platform designed for running large language and multimodal models locally and at scale.
This instructor-led, live training (available online or onsite) targets intermediate to advanced-level engineers aiming to scale Ollama deployments for multi-user, high-throughput, and cost-efficient environments.
Upon completion of this training, participants will be able to:
Configure Ollama to handle multi-user and distributed workloads.
Optimize the allocation of GPU and CPU resources.
Implement strategies for autoscaling, batching, and latency reduction.
Monitor and optimize infrastructure for both performance and cost efficiency.
Course Format
Interactive lectures and discussions.
Hands-on labs focused on deployment and scaling.
Practical optimization exercises conducted in live environments.
Customization Options
To request a customized version of this course, please contact us to make arrangements.
The CANN SDK (Compute Architecture for Neural Networks) offers robust deployment and optimization capabilities for real-time AI applications in computer vision and natural language processing, particularly on Huawei Ascend hardware.
This instructor-led training, available both online and onsite, targets intermediate-level AI professionals seeking to build, deploy, and optimize vision and language models using the CANN SDK for production environments.
Upon completion of this training, participants will be able to:
Deploy and optimize CV and NLP models using CANN and AscendCL.
Leverage CANN tools to convert models and integrate them into active pipelines.
Enhance inference performance for tasks such as detection, classification, and sentiment analysis.
Construct real-time CV/NLP pipelines suitable for edge or cloud-based deployment scenarios.
Course Format
Interactive lectures and live demonstrations.
Practical labs focused on model deployment and performance profiling.
Live pipeline design utilizing real-world CV and NLP use cases.
Customization Options
For a customized version of this course, please reach out to us to arrange your training.
Claude AI is a sophisticated language and reasoning engine designed to support structured data operations, analytical workflows, and the enhancement of business intelligence processes.
This instructor-led live training, available either online or at your location, targets beginner to intermediate professionals seeking to utilize Claude to speed up data analysis, derive actionable insights, and streamline BI operations.
Upon completing this training, participants will be equipped to:
Employ Claude for ad-hoc exploratory data analysis.
Create SQL queries, summaries, and data transformations using natural language prompts.
Utilize Claude to design dashboards, KPIs, and analytical views with greater efficiency.
Interpret business data more accurately by leveraging structured AI-assisted reasoning.
Course Format
Instructor-led demonstrations paired with guided discussions.
Practical exercises utilizing real-world business datasets.
Application of Claude within business intelligence-focused scenarios.
Customization Options
If you need the course tailored to align with your specific internal BI tools or workflows, please contact us to arrange a customized version.
LangGraph serves as a framework designed for constructing stateful, multi-agent Large Language Model (LLM) applications through composable graphs, featuring persistent state and precise execution control.
This instructor-led, live training—available either online or onsite—is tailored for intermediate to advanced professionals seeking to design, implement, and manage LangGraph-based financial solutions that adhere to strict governance, observability, and compliance standards.
Upon completion of this training, participants will be equipped to:
Design finance-specific LangGraph workflows that align with regulatory and audit requirements.
Integrate financial data standards and ontologies into graph states and associated tooling.
Implement reliability, safety, and human-in-the-loop controls essential for critical processes.
Deploy, monitor, and optimize LangGraph systems to ensure optimal performance, cost-efficiency, and adherence to Service Level Agreements (SLAs).
Course Format
Interactive lectures and discussions.
Extensive exercises and practical applications.
Hands-on implementation within a live laboratory environment.
Customization Options
To request customized training for this course, please contact us to arrange your specific needs.
Ollama serves as a platform designed for executing and fine-tuning large language and multimodal models directly on local infrastructure.
This instructor-led live training, available either online or at your site, targets advanced ML engineers, AI researchers, and product developers who aim to construct and deploy multimodal applications utilizing Ollama.
Upon completion of this training, participants will be equipped to:
Configure and execute multimodal models using Ollama.
Unify text, image, and audio inputs for practical application scenarios.
Construct systems for document comprehension and visual question answering.
Create multimodal agents capable of reasoning across different data modalities.
Course Format
Engaging lectures and interactive discussions.
Practical exercises using real-world multimodal datasets.
Live laboratory sessions for implementing multimodal pipelines via Ollama.
Customization Options
To arrange a tailored training session for this course, please contact us.
Mistral models represent open-source AI technologies that have expanded into multimodal workflows, enabling support for both language and vision tasks in enterprise and research contexts.
This instructor-led, live training session (available online or onsite) targets intermediate-level machine learning researchers, applied engineers, and product teams eager to develop multimodal applications using Mistral models, including OCR and document understanding pipelines.
Upon completion of this training, participants will be capable of:
Setting up and configuring Mistral models for multimodal tasks.
Implementing OCR workflows and integrating them with NLP pipelines.
Designing document understanding applications tailored for enterprise use cases.
Developing vision-text search capabilities and assistive UI functionalities.
Course Format
Interactive lectures and discussions.
Practical coding exercises.
Live laboratory implementation of multimodal pipelines.
Customization Options
To request tailored training for this course, please contact us to arrange it.
This instructor-led live training in Nantes (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.
Advanced Ollama Model Debugging & Evaluation is a comprehensive course dedicated to diagnosing, testing, and assessing model behavior in local or private Ollama deployments.
This instructor-led live training, available online or onsite, targets advanced AI engineers, ML Ops professionals, and QA practitioners seeking to ensure the reliability, accuracy, and operational readiness of Ollama-based models in production environments.
Upon completing this training, participants will be able to:
Systematically debug Ollama-hosted models and reliably reproduce failure modes.
Design and execute robust evaluation pipelines utilizing both quantitative and qualitative metrics.
Implement observability capabilities (logs, traces, metrics) to monitor model health and detect drift.
Automate testing, validation, and regression checks, integrating them into CI/CD pipelines.
Course Format
Interactive lectures and discussions.
Hands-on labs and debugging exercises using Ollama deployments.
Case studies, group troubleshooting sessions, and automation workshops.
Customization Options
To request a customized version of this course, please contact us to arrange.
This instructor-led, live training in Nantes (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.
The Devstral and Mistral models are open-source AI technologies engineered for flexible deployment, fine-tuning capabilities, and scalable integration.
This instructor-led live training, available either online or onsite, targets intermediate to advanced ML engineers, platform teams, and research engineers who aim to self-host, fine-tune, and govern Mistral and Devstral models within production environments.
Upon completing this training, participants will be equipped to:
Establish and configure self-hosted environments for Mistral and Devstral models.
Apply fine-tuning techniques to achieve domain-specific performance improvements.
Implement versioning, monitoring, and lifecycle governance strategies.
Ensure security, compliance, and responsible usage of open-source models.
Course Format
Interactive lectures and discussions.
Hands-on exercises focused on self-hosting and fine-tuning.
Live-lab implementation of governance and monitoring pipelines.
Customization Options
To request customized training for this course, please contact us to arrange.
LangGraph facilitates stateful, multi-actor workflows driven by Large Language Models (LLMs), offering precise control over execution paths and state persistence. These capabilities are essential in healthcare for ensuring compliance, enabling interoperability, and developing decision-support systems that align with clinical workflows.
This instructor-led, live training (available online or onsite) is designed for intermediate to advanced professionals looking to design, implement, and manage LangGraph-based healthcare solutions while addressing regulatory, ethical, and operational challenges.
Upon completion of this training, participants will be able to:
Design LangGraph workflows tailored to healthcare, ensuring compliance and auditability.
Integrate LangGraph applications with medical ontologies and standards such as FHIR, SNOMED CT, and ICD.
Apply best practices for reliability, traceability, and explainability in sensitive environments.
Deploy, monitor, and validate LangGraph applications in healthcare production settings.
Course Format
Interactive lectures and discussions.
Hands-on exercises using real-world case studies.
Practical implementation in a live-lab environment.
Customization Options
To request a customized version of this training, please contact us to arrange.
LangGraph serves as a framework for developing stateful, multi-agent LLM applications by composing graphs with persistent state and execution control.
This instructor-led live training, available online or onsite, is designed for advanced AI platform engineers, AI DevOps specialists, and ML architects who aim to optimize, debug, monitor, and manage production-grade LangGraph systems.
Upon completing this training, participants will be able to:
Design and optimize complex LangGraph topologies to enhance speed, reduce costs, and improve scalability.
Build reliability through retries, timeouts, idempotency, and checkpoint-based recovery mechanisms.
Debug and trace graph executions, inspect states, and systematically reproduce production issues.
Instrument graphs with logs, metrics, and traces; deploy to production; and monitor SLAs and costs.
Course Format
Interactive lectures and discussions.
Extensive exercises and practice sessions.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request customized training for this course, please contact us to arrange.
This instructor-led, live training in Nantes (online or onsite) is aimed at intermediate-level professionals who wish to deepen their understanding of conversational agents and apply LangChain to real-world use cases.
By the end of this training, participants will be able to:
Understand the fundamentals of LangChain and its application in building conversational agents.
Develop and deploy conversational agents using LangChain.
Integrate conversational agents with APIs and external services.
Apply Natural Language Processing (NLP) techniques to improve the performance of conversational agents.
This instructor-led, live training in Nantes (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 Nantes (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.
Mistral represents a high-performance family of large language models specifically optimized for cost-effective production deployment at scale.
This instructor-led live training, available either online or onsite, is designed for advanced infrastructure engineers, cloud architects, and MLOps leaders who aim to design, deploy, and optimize Mistral-based architectures to achieve maximum throughput with minimal cost.
Upon completion of this training, participants will be equipped to:
Implement scalable deployment patterns for Mistral Medium 3.
Apply batching, quantization, and efficient serving strategies.
Optimize inference costs while maintaining high performance.
Design production-ready serving topologies suited for enterprise workloads.
Course Format
Interactive lectures and discussions.
Extensive exercises and practical application.
Hands-on implementation within a live laboratory environment.
Customization Options
To request customized training for this course, please contact us to arrange.
This instructor-led, live training in Nantes (online or onsite) is aimed at developers and IT professionals of all skill levels who wish to automate tasks and processes using AI without writing extensive code.
By the end of this training, participants will be able to:
Design and implement complex workflows using n8n's visual programming interface.
Integrate AI capabilities into workflows using LangChain.
Build custom chatbots and virtual assistants for various use cases.
Perform advanced data analysis and processing with AI agents.
This instructor-led, live training in Nantes (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 Nantes (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.
LangGraph serves as a graph-based orchestration framework designed to facilitate conditional, multi-step workflows involving LLMs and tools, making it an excellent choice for automating and personalizing content pipelines.
This instructor-led live training, available either online or on-site, targets intermediate-level marketers, content strategists, and automation developers who aim to implement dynamic, branching email campaigns and content generation pipelines using LangGraph.
Upon completion of this training, participants will be capable of:
Designing graph-structured content and email workflows that incorporate conditional logic.
Integrating LLMs, APIs, and data sources to achieve automated personalization.
Managing state, memory, and context throughout multi-step campaigns.
Evaluating, monitoring, and optimizing workflow performance and delivery outcomes.
Course Format
Interactive lectures and group discussions.
Hands-on labs focused on implementing email workflows and content pipelines.
Scenario-based exercises covering personalization, segmentation, and branching logic.
Course Customization Options
To request customized training for this course, please contact us to arrange.
Le Chat Enterprise delivers a private ChatOps solution equipped with secure, customizable, and governed conversational AI capabilities tailored for organizations. It supports RBAC, SSO, connectors, and enterprise app integrations.
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This instructor-led, live training (online or onsite) is aimed at intermediate-level product managers, IT leads, solution engineers, and security/compliance teams who wish to deploy, configure, and govern Le Chat Enterprise in enterprise environments.
By the end of this training, participants will be able to:
Set up and configure Le Chat Enterprise for secure deployments.
Enable RBAC, SSO, and compliance-driven controls.
Integrate Le Chat with enterprise applications and data stores.
Design and implement governance and admin playbooks for ChatOps.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Devstral is an open-source framework purpose-built for creating and operating coding agents capable of interacting with codebases, developer tools, and APIs to boost engineering productivity.
This instructor-led live training, available online or onsite, targets intermediate to advanced ML engineers, developer-tooling teams, and SREs who aim to design, implement, and optimize coding agents using Devstral.
Upon completion of this training, participants will be able to:
Set up and configure Devstral for coding agent development.
Design agentic workflows for codebase exploration and modification.
Integrate coding agents with developer tools and APIs.
Implement best practices for secure and efficient agent deployment.
Course Format
Interactive lectures and discussions.
Extensive exercises and hands-on practice.
Live-lab implementation exercises.
Customization Options
To request customized training for this course, please contact us to arrange.
This instructor-led, live training in Nantes (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 Nantes (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.
LangGraph is a framework designed for composing graph-structured LLM workflows that support branching, tool use, memory, and controllable execution.
This instructor-led, live training (available online or onsite) targets intermediate-level engineers and product teams who aim to combine LangGraph’s graph logic with LLM agent loops to build dynamic, context-aware applications such as customer support agents, decision trees, and information retrieval systems.
By the end of this training, participants will be able to:
Design graph-based workflows that coordinate LLM agents, tools, and memory.
Implement conditional routing, retries, and fallbacks for robust execution.
Integrate retrieval, APIs, and structured outputs into agent loops.
Evaluate, monitor, and harden agent behavior for reliability and safety.
Course Format
Interactive lecture and facilitated discussion.
Guided labs and code walkthroughs in a sandbox environment.
Scenario-based design exercises and peer reviews.
Course Customization Options
To request customized training for this course, please contact us to arrange.
This instructor-led, live training in Nantes (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 Nantes (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, live training in Nantes (online or onsite) is aimed at beginner-level business professionals, customer support teams, and tech enthusiasts who wish to understand the fundamentals of Claude AI and leverage it for business applications.
By the end of this training, participants will be able to:
Understand Claude AI’s capabilities and use cases.
Set up and interact with Claude AI effectively.
Automate business workflows with conversational AI.
Enhance customer engagement and support using AI-driven solutions.
LangGraph is a framework designed for creating graph-structured applications powered by large language models (LLMs), supporting features such as planning, branching, tool usage, memory management, and controllable execution.
This instructor-led live training, available either online or onsite, is tailored for beginner-level developers, prompt engineers, and data practitioners who aim to design and implement reliable, multi-step LLM workflows using LangGraph.
Upon completion of this training, participants will be able to:
Articulate the core concepts of LangGraph (nodes, edges, and state) and understand their appropriate use cases.
Construct prompt chains that branch, invoke tools, and maintain memory context.
Integrate retrieval mechanisms and external APIs into graph-based workflows.
Test, debug, and evaluate LangGraph applications to ensure reliability and safety.
Course Format
Interactive lectures combined with facilitated discussions.
Guided laboratory sessions and code walkthroughs conducted in a sandbox environment.
Scenario-based exercises focusing on design, testing, and evaluation.
Course Customization Options
To request a customized training session for this course, please contact us to make arrangements.
Mistral Medium 3 is a high-performance, multimodal large language model designed for production-grade deployment across enterprise environments.
This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level AI/ML engineers, platform architects, and MLOps teams who wish to deploy, optimize, and secure Mistral Medium 3 for enterprise use cases.
By the end of this training, participants will be able to:
Deploy Mistral Medium 3 using API and self-hosted options.
Optimize inference performance and costs.
Implement multimodal use cases with Mistral Medium 3.
Apply security and compliance best practices for enterprise environments.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
This instructor-led, live training in Nantes (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.
Unstructured data is estimated to comprise more than 90 percent of all data, with a significant portion existing in text format. This vast repository expands continuously through sources such as blog posts, tweets, social media platforms, and other digital publications.
This instructor-led, live course focuses on extracting meaningful insights from this data. By leveraging the R language and Natural Language Processing (NLP) libraries, we integrate principles from computer science, artificial intelligence, and computational linguistics to algorithmically decipher the meaning behind text data. Data samples are provided in various languages to align with customer requirements.
Upon completion of this training, participants will be equipped to prepare datasets—both large and small—from diverse sources, and then apply appropriate algorithms to analyze and report on their significance.
Course Format
A blend of lectures and discussions, with extensive hands-on practice and occasional assessments to evaluate understanding
A deep dive into the fundamentals of artificial intelligence demonstrates how intelligent technologies are transforming digital strategies, automating processes, and enhancing decision-making across enterprise operations. This course explores core concepts including the history of AI, problem-solving frameworks, knowledge representation, reasoning under uncertainty, and various machine learning paradigms, alongside communication, perception, and autonomous action. It equips executives and architects with the insights needed to evaluate AI-driven transformation opportunities, assess emerging technology trends, and implement practical intelligent solutions to accelerate business agility.
This two-part training programme is tailored for software delivery teams aiming to embed AI-assisted engineering workflows into their daily operations using Claude Code.
Artificial Intelligence training covers data analysis, distributed artificial intelligence, and natural language processing, aiming to provide developers and data scientists with the application technologies for building large-scale intelligent systems. The curriculum includes distributed machine learning, Apache Spark MLlib, and the core principles of MapReduce-based prediction, while delving into practical methods for recommendation engines, text classification, semantic analysis using Word2Vec, and RNN-LSTM architectures. This course helps professionals deploy production-ready AI pipelines, transforming raw data into automated decision-making capabilities.
Claude Code is more than a code-completion utility—it is a terminal-native development agent capable of reading your codebase, planning multi-step modifications, executing tests, and transforming a single prompt into a functional outcome. This one-day workshop provides participants with structured, hands-on training: setting up Claude Code for live projects, crafting effective delegations that yield reviewable results, leveraging CLAUDE.md as persistent project memory, and integrating internal tools via the Model Context Protocol.
This instructor-led, live training in Nantes (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.
Natural Language Processing converts unstructured text into valuable insights, allowing machines to understand human language. This course covers essential techniques such as corpus analysis, syntactic parsing, text preprocessing workflows, and dimensionality reduction using SVD and NMF. Participants will engage in hands-on implementations of document clustering, topic modeling, sentiment analysis, named entity recognition, and Latent Dirichlet Allocation with Python. By the end, practitioners will be equipped to develop intelligent text analytics systems for automated content classification and search capabilities.
Ollama is an open-source solution designed to run large language models locally on both consumer-grade and enterprise hardware. By consolidating model quantization, GPU resource allocation, and API service delivery into a single command-line interface, it allows organizations to self-host LLMs such as Llama, Mistral, and Qwen. This approach eliminates the need to transmit prompts or sensitive data to external providers like OpenAI, Anthropic, or Google.
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Testimonials (3)
Examples and links excel repository
Olga - GE HealthCare
Course - Generative AI with Large Language Models (LLMs)
I really liked the end where we took the time to play around with CHAT GPT. The room was not set up the best for this- instead of one large table a couple of small ones so we could get into small groups and brainstorm would have helped
Nola - Laramie County Community College
Course - Artificial Intelligence (AI) Overview
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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