Online or onsite, instructor-led live Artificial Intelligence (AI) training courses demonstrate through hands-on practice how to implement AI solutions for solving real-world problems.
AI 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 Artificial Intelligence (AI) 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)
This instructor-led, live training in Nantes (online or onsite) is aimed at beginner-level to intermediate-level content creators, entrepreneurs, and technology enthusiasts who wish to harness the power of AI for innovative media production and business growth.
By the end of this training, participants will be able to:
Create realistic voice clones for various applications.
Manipulate video content with DeepFake technology for creative or educational purposes.
Adopt ethical AI practices for content creation.
Leverage AI tools for business and creative enhancement.
Master AI media technologies for advanced applications.
This instructor-led, live training in Nantes (online or onsite) is aimed at intermediate-level IT professionals who wish to learn how to leverage AWS tools and services to build, train, and deploy AI models efficiently.
By the end of this training, participants will be able to:
Understand the AI/ML services provided by AWS.
Set up and manage AI/ML environments on AWS.
Gain hands-on experience in building, training, and deploying AI models using Amazon SageMaker.
Learn to utilize various AWS AI services for specific use cases.
AI tools can significantly enhance the productivity and accuracy of legal professionals by streamlining tasks such as contract review, legal research, and drafting of legal documents.
This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level legal professionals who wish to apply AI tools to simplify, accelerate, and enhance their day-to-day legal work.
By the end of this training, participants will be able to:
Use AI tools to review contracts for risky or missing clauses.
Generate first drafts of legal documents using generative AI assistants.
Automate legal research and summarize case law efficiently.
Organize tasks, deadlines, and legal files with the support of AI-based tools.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Hands-on practice with real-world legal examples.
Demonstration and guided use of AI tools in legal workflows.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
AI tools are reshaping productivity and creativity across various industries, particularly within communication, design, and audiovisual production.
This instructor-led live training (available online or onsite) targets intermediate-level professionals looking to harness AI tools to streamline content creation, automate workflows, and boost creative output in their daily operations.
Upon completion of this training, participants will be able to:
Leverage ChatGPT and other Large Language Models (LLMs) to write, summarize, brainstorm, and automate tasks using effective prompting techniques.
Utilize Google AI Ultra (Gemini) features within Docs, Sheets, and Gmail to enhance productivity.
Generate AI-created images and videos using accessible tools suitable for professional use.
Integrate Microsoft Copilot into Office 365 to improve document, spreadsheet, and email workflows.
Understand and apply ethical AI usage practices, including cybersecurity considerations.
Explore real-world use cases in communication, design, and audiovisual production using AI tools.
Evaluate and experiment with free AI tools relevant to modern workplaces.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Numerous exercises and practice opportunities.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
AI-powered tools such as ChatGPT, Gemini, and Microsoft 365 Copilot are reshaping the way procurement professionals conduct research, draft documents, analyze supplier data, and manage contracts.
This instructor-led, live training (available online or onsite) targets intermediate-level procurement professionals who want to use AI tools safely and effectively to enhance decision-making, automate operational tasks, and prepare for future procurement challenges.
By the end of this training, participants will be able to:
Understand and differentiate major AI tools and their relevance to procurement tasks.
Write effective prompts to improve AI accuracy and reduce the risk of misuse.
Use AI to support sourcing, contract drafting, market analysis, and supplier evaluation.
Interpret AI-generated outputs responsibly and identify bias or hallucinations.
Recognize privacy, confidentiality, and ethical concerns when using AI in procurement.
Apply AI tools to real procurement categories like IT, IFM, Marketing, HR, and more.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Hands-on exercises with real-world procurement examples.
Use of live AI tools and prompt crafting practice.
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) targets intermediate-level media professionals eager to utilize AI tools for content generation, fact-checking, automating editorial tasks, and optimizing workflows within digital journalism.
Upon completing this training, participants will be able to:
Utilize AI tools to draft news articles, headlines, and summaries.
Employ AI for fact-checking, identifying bias, and receiving suggestions to enhance tone and clarity.
Automate routine newsroom processes such as transcription and tagging.
Adhere to ethical and editorial standards when producing AI-assisted content.
This instructor-led, live training session in Nantes (online or onsite) is designed for cybersecurity professionals and technical leads at an intermediate to advanced level. The course aims to help participants understand how to implement AI models to enhance security processes, automate threat detection and response, and perform predictive analysis.
Upon completion of this training, participants will be able to:
Comprehend the pivotal role of AI in modern cybersecurity.
Develop machine learning models for detecting anomalies and threats.
Implement AI solutions to automate incident response and security operations.
Evaluate the ethical and operational implications of using AI in cybersecurity.
This instructor-led, live training in Nantes (available online or onsite) is designed for managers and business leaders who want to learn about the fundamentals of artificial intelligence and manage AI projects for their organization.
Upon completing this training, participants will be able to understand AI at a technical level and develop strategies using their organization’s data and resources to successfully manage AI projects.
This instructor-led, live training in Nantes (online or onsite) is designed for managers and business leaders who wish to learn the fundamentals of artificial intelligence and manage AI projects for their organization.
By the end of this training, participants will be able to understand AI at a technical level and strategize using their organization’s data and resources to successfully manage AI projects.
This instructor-led, live training in Nantes (online or onsite) is aimed at beginner-level to intermediate-level business professionals and team leaders who wish to explore the value of AI through real-world cases and hands-on exercises.
By the end of this training, participants will be able to:
Understand key AI concepts relevant to their industry.
Identify opportunities where AI can enhance their operations or customer experience.
Experiment with basic AI tools through guided practical activities.
Assess how to start small with AI in their own workplace.
This instructor-led, live training in Nantes (online or onsite) is designed for intermediate-level educators and edtech professionals aiming to harness Generative AI to personalize education and elevate learning experiences.
Upon completion of this training, participants will be able to:
Grasp the principles and applications of Generative AI within the educational sector.
Develop personalized learning materials and pathways using AI technology.
Employ AI tools to manage classrooms and create content.
Navigate the ethical considerations associated with using AI in education.
Formulate strategies for integrating AI into educational curricula and administrative workflows.
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.
This course offers a practical, no-code introduction to Artificial Intelligence (AI) applications specifically designed for logistics and supply chain operations within the fuel transportation sector. Participants will discover how to utilize AI tools and automation methods to enhance route planning, inventory forecasting, volume control, and logistics cost estimation using accessible, no-code platforms like Excel, Power BI, and ChatGPT.
This instructor-led, live training (available online or onsite) is designed for beginner-level professionals looking to apply AI in real-world logistics scenarios without requiring programming or data science expertise.
Upon completion of this training, participants will be able to:
Grasp the fundamentals of AI and its role in logistics and supply management.
Utilize AI-assisted tools to analyze operational data from routes, tanks, and deliveries.
Develop basic AI-based forecasting models for short-term fuel demand.
Apply AI techniques to optimize routes, scheduling, and resource allocation.
Estimate and monitor logistics costs using data-driven insights.
Create performance dashboards and visual KPIs for supply chain operations.
Design a practical 90-day plan for integrating AI into logistics and supply workflows.
Format of the Course also allows for the evaluation of participants.
Interactive lectures and discussions.
Hands-on exercises and real-world operational case studies.
Step-by-step guidance on using no-code AI tools and templates.
Course Customization Options
To request customized training for this course, please contact us to arrange it.
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.
Artificial Intelligence with Python involves building intelligent systems by leveraging Python’s robust ecosystem of AI and machine learning libraries.
This instructor-led live training, available online or onsite, is designed for intermediate Python programmers looking to design, implement, and deploy AI solutions using Python.
Upon completing this training, participants will be able to:
Implement AI algorithms using Python’s core AI libraries.
Work with supervised, unsupervised, and reinforcement learning models.
Integrate AI solutions into existing applications and workflows.
Evaluate model performance and optimize for accuracy and efficiency.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Extensive 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.
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.
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.
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.
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.
AI in HR involves applying artificial intelligence tools and techniques to enhance hiring, onboarding, talent management, employee experience, and HR operations.
This instructor-led, live training (available online or onsite) is designed for intermediate-level HR professionals and people analytics practitioners who want to understand how to evaluate, adopt, and responsibly implement AI tools in real-world HR scenarios.
By the end of this training, participants will be able to:
Identify high-value HR use cases for AI and prioritize pilot opportunities.
Design prompts and workflows to leverage LLMs for common HR tasks (e.g., job descriptions, summaries, communications).
Assess ethical, legal, and privacy risks and apply mitigation strategies when using AI in HR processes.
Measure impact and define success metrics for AI-enabled HR initiatives.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Hands-on exercises with real HR scenarios and datasets.
Group workshops to design responsible AI-powered HR workflows.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
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 designed for intermediate-level game developers and AI enthusiasts who aim to effectively integrate AI agents into their gaming applications.
Upon completion of this training, participants will be able to:
Grasp the role of AI agents in modern gaming.
Create decision-making systems using decision trees and finite state machines.
Implement pathfinding algorithms, such as A*, for in-game navigation.
Apply reinforcement learning techniques to develop adaptive AI behaviors.
Optimize AI performance for real-time gaming environments.
PostgreSQL is a robust, open-source relational database that can be enhanced with AI capabilities for enterprise data intelligence, predictive analytics, and automation.
This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level data engineers, DBAs, and solution architects who wish to design, implement, and govern enterprise-grade AI systems that leverage PostgreSQL.
By completing this program, participants will gain the expertise to:
Integrate AI models and vector search capabilities directly into PostgreSQL.
Deploy AI-optimized architectures for high-volume enterprise workloads.
Implement robust governance, auditing, and compliance for AI data pipelines.
Leverage open source and proprietary AI frameworks securely within PostgreSQL environments.
Format of the Course also allows for the evaluation of participants.
Interactive lectures and enterprise case discussions.
Practical exercises and real-world labs.
Hands-on implementation in a live PostgreSQL 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) targets intermediate to advanced participants seeking to optimize customer care operations using AI and automation, while equipping their teams with the latest tools and strategies.
Upon completion of this training, participants will be able to:
Grasp the latest trends in customer care and customer success.
Harness AI and automation to enhance customer satisfaction and reduce workloads.
Streamline sales workflows and customer engagement through advanced automation.
Train teams remotely on modern tools and strategies for customer success and sales.
Develop scalable solutions to elevate customer experiences and fuel revenue growth.
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 designed for beginner to intermediate data scientists and software developers who want to learn about Milvus and its practical applications in various AI scenarios.
By the end of this training, participants will be able to:
Understand the architecture and features of Milvus.
Implement vector databases in different AI applications.
Perform similarity searches with high accuracy and speed.
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 (available online or onsite) targets beginner to intermediate-level developers and architects seeking to learn the fundamentals of intelligent driving and its application to real-world scenarios.
By the end of this training, participants will be able to:
Explain core AI concepts and principles, and demonstrate their application to driving contexts.
Understand the architecture and key components of intelligent driving systems.
Construct and visualize composite models that integrate insights from various design disciplines.
Communicate and annotate issues and feedback within these models.
Conduct clash detection and resolve conflicts across different driving scenarios.
Simulate and manage driving schedules and associated costs.
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.
This instructor-led live training in Nantes (online or onsite) is designed for beginner to intermediate data scientists and software developers who want to learn how to apply Pinecone to various AI scenarios, ranging from semantic search to personalization.
By the end of this training, participants will be able to:
Understand the architecture and features of Pinecone.
Implement vector databases in different AI applications.
Perform similarity searches with high accuracy and speed.
This instructor-led, live training in Nantes (online or onsite) is aimed at professionals who wish to learn and understand the concept of AI and how to use it effectively and responsibly.
By the end of this training, participants will be able to:
Learn the concept of Artificial Intelligence (AI).
Understand the limits and dangers of AI and use it responsibly.
Know how to effectively use AI in real-world scenarios.
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 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 aimed at intermediate-level to advanced-level data scientists and machine learning engineers who wish to master the use of vector databases for scalable, high-performance AI applications.
By the end of this training, participants will be able to:
Understand the principles of vector databases.
Learn techniques for creating and managing vector embeddings.
Explore indexing strategies for high-dimensional data.
Develop skills for performing efficient similarity searches.
Apply vector database knowledge to machine learning projects.
This instructor-led, live training in Nantes (online or onsite) is aimed at digital marketers, content creators, and developers who wish to understand the impact of AI on search engines, explore the capabilities of Bing AI, and learn about chatbot technologies and their applications.
By the end of this training, participants will be able to:
Understand the principles and benefits of Bing AI.
Identify the AI-powered features within Bing and their applications.
Utilize Bing AI to enhance search results and user experiences.
Evaluate the potential of AI in search engine optimization (SEO) and content creation.
Explore chatbot technologies and their applications, including Bing AI Chatbot.
This instructor-led, live training in Nantes (online or onsite) is aimed at beginner-level to intermediate-level researchers and laboratory professionals who wish to process and analyze images related to histological tissues, blood cells, algae, and other biological samples.
By the end of this training, participants will be able to:
Navigate the Fiji interface and utilize ImageJ’s core functions.
Preprocess and enhance scientific images for better analysis.
Analyze images quantitatively, including cell counting and area measurement.
Automate repetitive tasks using macros and plugins.
Customize workflows for specific image analysis needs in biological research.
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 course offers a practical exploration of Data Science and AI through Python, empowering professionals with the capabilities to analyze data, construct machine learning models, and implement AI-powered applications within business environments. It addresses CRISP-DM methodologies, statistical analysis, supervised and unsupervised learning, deep learning with Tensorflow, natural language processing, big data analytics via Spark, and data-driven storytelling. This program is ideal for beginners aiming to obtain a Python data science certification and acquire career-ready analytics skills.
What will the cities of the future resemble? How can Artificial Intelligence (AI) be leveraged to enhance urban planning? In what ways can AI contribute to making cities more efficient, livable, safer, and environmentally sustainable?
This instructor-led live training (available onsite or remotely) explores the diverse technologies constituting AI, as well as the necessary skill sets and conceptual frameworks required to apply them effectively in city planning. The course also addresses tools and methodologies for collecting and organizing relevant data for AI applications, including data mining techniques.
Audience
City planners
Architects
Developers
Transportation officials
Format of the Course also allows for the evaluation of participants.
A combination of lectures, discussions, and a series of interactive exercises.
Note
To request customized training for this course, please contact us to arrange.
This instructor-led, live training (online or onsite) targets team leaders and middle managers aiming to adopt AI safely and effectively by addressing the human factors that drive success: trust, accountability, decision habits, and psychological safety.
By the conclusion of this training, participants will be able to:
Define when to use AI and when not to (stop rules).
Verify AI outputs with practical standards (red flags, second source).
This instructor-led, live training in Nantes (online or onsite) is designed for intermediate to advanced professionals, business leaders, and policymakers who want to explore AI's role in business, society, and future developments.
By the end of this training, participants will be able to:
Understand how AI influences business, the economy, and workforce dynamics.
Recognize ethical, legal, and societal challenges of AI adoption.
Analyze the role of AI in privacy, governance, and inclusion.
Evaluate strategies to address AI bias and ethical concerns.
Discuss AI's future potential and emerging challenges.
This practical training program is tailored for data engineering professionals seeking to develop applied skills in artificial intelligence, Python, and large language models. The curriculum emphasizes real-world use cases, including model utilization, prompt engineering, and the creation of AI-driven solutions. Participants will engage in progressive exercises that advance from foundational concepts to the construction of deployable AI workflows.
Training Format
• In-person classroom instruction
• Instructor-led sessions with guided practice
• Interactive discussions and real-world case studies
• Daily hands-on exercises
Course Objectives
• Grasp core AI and machine learning concepts applicable to modern solutions
• Enhance Python proficiency for AI development and data workflows
• Comprehend the mechanics of large language models and learn to leverage them effectively
• Design and optimize prompts to ensure reliable outputs
• Develop end-to-end AI solutions utilizing APIs and frameworks
• Integrate AI capabilities into data engineering pipelines
This instructor-led, live training in Nantes (online or on-site) is designed for system administrators and DevOps engineers who wish to deploy, configure, and manage EXO clusters for private LLM inference across multiple Apple Silicon or Linux nodes.
This instructor-led live training in Nantes (online or onsite) targets DevOps engineers and infrastructure architects looking to automate the provisioning, monitoring, and lifecycle management of private AI clusters built on EXO.
This instructor-led training is designed for cross-functional management teams looking to understand and practically apply Artificial Intelligence within daily business operations, decision-making, planning, analysis, and process optimization.
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Testimonials (16)
The details of the mathematical formulas that highlight the biases and limitations as well as the important parameters to consider for the practical application of LIME and SHAPE methods.
Heddy Bouron Cardey - Bayer
Course - Introduction to Explainable AI (XAI) for Beginners
Machine Translated
I really enjoyed learning about AI attacks and the tools out there to begin practicing and actively using for security testing. I took a lot of knowledge away which I didn't have at the beginning and the course met what I hoped it would be. My favorite part shown from the training was Comet Browser and was amazed at what it could do. Definitely something will be looking into more. Overall it was a great course and enjoyed learning all OWASP GenAI Top 10.
The trainer is patient and very helpful. He knows the topic well.
CLIFFORD TABARES - Universal Leaf Philippines, Inc.
Course - Agentic AI for Business Automation: Use Cases & Integration
Able to pivot upon audience suggestions - ie able to create a real AI agent scenario on the spot.
Brett McLaren - Zoll Itamar
Course - ChatGPT for Productivity: A Beginner’s Guide
The clarity of the explanations and the concrete examples related to marketing. The training was highly relevant and directly applicable to my daily work. Discovering multiple AI programs.
Julie Defourny - Brunswick Marine EMEA LLC
Course - Generative AI in Marketing: Creating Personalized Campaigns
Machine Translated
That we can cover advance topic and work with real-life example
The training helped me to appreciate the value that AI can bring to my work.
Lebogang Mogotlhwane
Course - ChatGPT for Insurance
The interactivity and the gradual introduction of the topics
Alessandro Pignatelli - Istituto Nazionale di Geofisica e Vulcanologia
Course - ChatGPT for Data Science and Analytics
the agent and SMA code path
Sylvie Varesano - Aubay
Course - Developing Multi-Agent Systems
Machine Translated
The extensive selection of tools presented
Miruna Buzduga - Aeronamic Eastern Europe
Course - AI Enablement Training for Engineers
The most valuable part was the practical examples that made the material easy to understand
Ropiudin Ropie - PT Sigma Cipta Utama
Course - AI Foundations for the Modern Workplace
Our trainer, Yashank, was incredibly knowledgeable. He modified the curriculum to match what we truly needed to learn, and we had a great learning experience with him. His understanding of the domain he was teaching was impressive; he shared insights from real experience and helped us solve actual problems we were facing in our work.
Ahmed Nazeem - Maldives Pension Administration Office
Course - Multimodal AI for Enhanced User Experience
The profesional knolage and the way how he presented it before us
Miroslav Nachev - PUBLIC COURSE
Course - Cybersecurity in AI Systems
all the foundational Copilot training to help with prompting and having Copilot learn me
Manny Anastacio - UPS
Course - Artificial Intelligence (AI) for Managers
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