AI Agents Training in Nantes

This instructor-led, live training in Nantes (online or onsite) is aimed at advanced-level AI engineers, robotics developers, and automation specialists who wish to leverage DeepSeek for building intelligent AI agents and autonomous systems.

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

• Understand the architecture and capabilities of DeepSeek AI models.
• Integrate DeepSeek into AI agents for decision-making and automation.
• Apply reinforcement learning techniques for training autonomous systems.
• Deploy AI-driven autonomous agents in real-world environments.

This live, instructor-led session in Nantes (online or on-site) targets intermediate AI developers, security specialists, and compliance professionals aiming to design and deploy secure AI agents with a focus on ethics and robustness.

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

• Recognize security risks and ethical issues in AI agent development.
• Apply security-first design principles to AI models.
• Use adversarial robustness methods to defend AI agents against attacks.
• Ensure adherence to ethical AI standards and regulatory mandates.

This practical course in Nantes walks you through the process of deploying agentic AI on resource-limited devices. You will learn to construct, optimize, and manage lightweight agents for local reasoning using Python, TensorFlow Lite, and PyTorch Mobile, thereby boosting speed, privacy, and reliability.

This instructor-led, live training in Nantes (online or onsite) is aimed at intermediate-level to advanced-level AI developers, researchers, and multimedia engineers who wish to build AI agents capable of understanding and generating multi-modal content.

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

• Develop AI agents that process and integrate text, image, and speech data.
• Implement multi-modal models such as GPT-4 Vision and Whisper ASR.
• Optimize multi-modal AI pipelines for efficiency and accuracy.
• Deploy multi-modal AI agents in real-world applications.

This live, instructor-led session in Nantes (delivered online or on-site) is tailored for developers and designers at beginner to intermediate levels who are eager to comprehend and build AI-driven virtual assistants for a variety of use cases.

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

• Comprehend the fundamental principles of AI-driven virtual assistants.
• Acquire the basics of integrating language models with intelligent assistant systems.
• Construct and customize personal assistants by leveraging AI frameworks and tools.
• Implement personal assistants for real-world applications across different industries.

This instructor-led, live training in Nantes (online or onsite) is aimed at advanced-level AI engineers, enterprise software developers, and business leaders who wish to customize and deploy LLM-based AI agents for enterprise applications.

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

• Understand the architecture and capabilities of open-source LLMs.
• Customize and fine-tune LLMs for enterprise use cases.
• Deploy AI agents using LangChain and Hugging Face.
• Integrate LLM-powered agents into business workflows.

This instructor-led, live training in Nantes (online or onsite) is designed for advanced robotics engineers, AI researchers, and automation specialists who wish to develop AI-driven autonomous robotic systems for complex tasks and human-AI collaboration.

Upon completing this training, participants will be able to:

• Grasp the role of AI agents in robotic decision-making and automation.
• Implement AI-driven navigation and obstacle avoidance mechanisms.
• Develop robotic systems that support human-AI collaboration.
• Deploy AI-powered perception and control systems within robots.

This live training in Nantes empowers advanced professionals to architect and deploy multi-agent systems using Python. The curriculum covers agent coordination, reinforcement learning, and distributed computing with frameworks such as Mesa and Ray, culminating in a practical capstone project.

This live, instructor-led training in Nantes (online or onsite) is tailored for intermediate-level financial professionals, risk analysts, and AI engineers looking to build and launch AI-driven solutions for financial automation and fraud detection.

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

• Comprehend the impact of AI on financial automation and fraud detection.
• Design AI models to identify suspicious transactions.
• Utilize machine learning for immediate risk evaluation.
• Implement AI-enabled systems for ongoing financial oversight.

This live, instructor-led training in Nantes (offered online or on-site) is designed for customer service professionals, chatbot developers, and automation teams at the beginner to intermediate level who aim to implement AI-driven solutions for customer support and service automation.

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

• Grasp the core principles of AI-enabled customer support.
• Design and integrate AI chatbots to effectively manage customer inquiries.
• Utilize NLP and machine learning to elevate the quality of chatbot interactions.
• Implement AI agents in practical, real-world customer service scenarios.

This instructor-led, live training in Nantes (online or onsite) is designed for intermediate to advanced healthcare professionals and AI developers who want to implement AI-driven healthcare solutions.

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

• Grasp the role of AI agents in healthcare and diagnostics.
• Develop AI models for medical image analysis and predictive diagnostics.
• Integrate AI with electronic health records (EHR) and clinical workflows.
• Ensure compliance with healthcare regulations and ethical AI practices.

This instructor-led, live training in Nantes (online or onsite) is aimed at beginner-level to intermediate-level AI developers and UI/UX designers who wish to learn how to build, optimize, and deploy AI-powered virtual assistants.

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

• Design effective conversational AI workflows and UI/UX interfaces.
• Implement AI-driven natural language processing (NLP) models.
• Integrate AI assistants with APIs and third-party platforms.
• Deploy and maintain AI assistants for real-world applications.

This live, instructor-led course in Nantes, available either online or on-site, targets advanced professionals aiming to master the techniques involved in deploying and managing AI agents within production environments.

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

• Design and implement scalable AI deployment pipelines.
• Utilize Docker and Kubernetes to containerize and orchestrate AI agents.
• Monitor and optimize AI agents in production settings.
• Implement CI/CD workflows for AI agent deployments.
• Ensure compliance with security and data governance requirements.

This instructor-led live training, conducted in Nantes either online or onsite, is designed for advanced AI professionals who aim to master reinforcement learning techniques and implement them to train AI agents for solving complex problems.

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

• Grasp the fundamental principles of reinforcement learning and Markov Decision Processes (MDPs).
• Design and execute RL algorithms, including Q-Learning, SARSA, and Deep Q-Networks (DQN).
• Leverage frameworks such as OpenAI Gym and RL libraries for practical implementation.
• Train AI agents to navigate real-world, multi-step decision-making scenarios.
• Overcome challenges such as exploration-exploitation trade-offs and convergence issues in RL training.

This instructor-led, live training in Nantes (online or onsite) targets intermediate-level AI developers and automation specialists seeking to integrate agentic functionalities into AI-powered applications.

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

• Comprehend the principles of agentic AI and autonomous decision-making.
• Develop goal-driven AI agents utilizing self-optimization techniques.
• Integrate multi-agent collaboration for complex problem-solving scenarios.
• Enhance AI-human interaction through adaptive user experiences.
• Deploy agentic AI models in real-world applications.

This instructor-led, live training in Nantes (online or onsite) is designed for advanced AI professionals aiming to master the skills to design, build, and deploy MAS that solve complex, real-world problems.

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

• Understand the principles of multi-agent system architectures.
• Implement strategies for communication, coordination, and decision-making in MAS.
• Apply game theory to model agent interactions and resolve conflicts.
• Leverage frameworks like JADE to create scalable MAS solutions.
• Address challenges like scalability, trust, and emergent behavior in MAS.

This instructor-led, live training in Nantes (online or onsite) is designed for advanced professionals seeking to develop and optimize multi-agent systems using Agentic AI frameworks.

Upon completing this training, participants will be capable of:

• Grasping the core principles of Agentic AI within multi-agent environments.
• Building AI-driven agents that interact autonomously.
• Implementing reinforcement learning to enable adaptive AI behaviors.
• Optimizing both collaboration and competition among multiple agents.
• Applying Agentic AI solutions in robotics, gaming, and enterprise automation.

This instructor-led, live training in Nantes (online or onsite) is aimed at intermediate-level business analysts, RPA developers, and AI professionals who wish to harness the power of AI agents for business process automation.

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

• Understand the role of AI agents in business process automation.
• Identify opportunities for automation in key business domains.
• Develop AI-driven solutions for customer support, finance, and supply chain workflows.
• Integrate AI agents with existing RPA and business systems.
• Evaluate and optimize AI automation strategies for efficiency.

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.

This instructor-led, live training in Nantes (online or onsite) is aimed at advanced-level professionals who wish to leverage Agentic AI for decision-making in complex business and technical scenarios.

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

• Grasp the foundational principles of autonomous decision-making within AI.
• Design and deploy AI agents that function with minimal human oversight.
• Seamlessly integrate Agentic AI into existing automation workflows and business infrastructure.
• Enhance the efficiency and scalability of AI-driven decision processes.
• Uphold compliance, security standards, and ethical guidelines regarding AI autonomy.

This instructor-led, live training in Nantes (online or onsite) is aimed at intermediate-level professionals who wish to delve deeper into the design and development of autonomous agents for practical applications.

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

• Understand the foundational concepts of autonomous agents.
• Explore real-world applications of autonomous AI agents.
• Design, train, and implement agents using reinforcement learning.
• Integrate agents into existing systems for automation and decision-making.
• Address ethical considerations and challenges in deploying autonomous agents.

This instructor-led, live training conducted in Nantes (online or in-person) is tailored for entry-level professionals who aim to understand the functioning of AI agents and to construct their own interactive chatbot systems.

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

• Comprehend the basics of AI agents and their various applications.
• Examine the principles of natural language processing (NLP).
• Structure the conversational flow for a chatbot.
• Develop a functional chatbot using Python and complementary tools.
• Deploy the chatbot to interact with real-world users.

This instructor-led live training in Nantes (delivered online or onsite) is designed for novice professionals seeking to understand and construct simple AI agents for real-world utility.

By the conclusion of this training, participants will be capable of:

• Comprehending the essential concepts of AI agents.
• Recognizing the different categories of AI agents and their corresponding applications.
• Designing and implementing foundational AI agents for practical objectives.
• Exploring the tools and frameworks used in AI agent development.

This instructor-led live training in Nantes (available online or onsite) is designed for beginner to intermediate developers and cloud practitioners who intend to use Alibaba Cloud to build AI agents capable of automating tasks, answering queries, and integrating with business systems.

By the end of this training, participants will be able to understand the architecture of AI agents on Alibaba Cloud, construct a basic agent workflow, link an agent to enterprise knowledge sources and tools, and deploy and monitor the agent within a cloud environment.

This instructor-led live training in Nantes (online or onsite) is designed for observability and SRE engineers looking to integrate LLMs and AI into their monitoring, alerting, and incident analysis workflows.

This advanced, hands-on seminar is tailored for software engineers, architects, technical leads, engineering managers, and delivery teams seeking to comprehend how Artificial Intelligence can accelerate the entire software delivery lifecycle, from initial requirements analysis to production-ready code.

This instructor-led, live training in Nantes (online or onsite) is aimed at beginner-level / intermediate-level / advanced-level developers and technical professionals who wish to use Microsoft Azure to build, test, and deploy AI agents for business applications.

By the end of this training, participants will be able to: understand AI agent architecture on Azure, create and configure a working agent, connect agents to business knowledge sources, evaluate and prepare agents for deployment.

This instructor-led live training in Nantes (online or onsite) is designed for software developers and DevOps teams who want to use OpenAI Codex CLI to automate coding tasks, review code, and run multi-step workflows from the terminal.

By the end of this training, participants will be able to install and configure Codex CLI, execute tasks via natural language prompts, manage approval modes, and integrate with Git and CI pipelines.

This instructor-led, live training in Nantes (online or onsite) is designed for developers who wish to use GitHub Copilot Agent Mode to autonomously build features, run tests, and manage larger coding tasks.

By the end of this training, participants will be able to activate Agent Mode, plan and iterate within the agent loop, execute terminal commands, and implement enterprise governance.

This instructor-led, live training in Nantes (online or onsite) is aimed at developers and leads who wish to use Cursor to build features faster, refactor across files, and manage team-wide AI workflows.

By the end of this training, participants will be able to navigate using Composer and agent mode, target code with context-aware chat, deploy team workspaces, and integrate Cursor with version control.

This live, instructor-led course in Nantes (delivered online or on-site) is designed for software developers and AI engineers seeking to leverage DeepSeek Harness for building, managing, and extending AI coding agents.

This instructor-led, live training in Nantes (online or onsite) is designed for intermediate-level solution architects, AI engineers, developers, and technical product teams who aim to use Tencent ADP to build enterprise AI agents featuring RAG, workflow automation, and operational guardrails.

By the end of this training, participants will be able to: design ADP-based agents, create knowledge pipelines, orchestrate workflows and multi-agent patterns, and apply production guardrails.

This instructor-led, live training in Nantes (online or on-site) is designed for developers and technical practitioners at beginner, intermediate, and advanced levels who intend to use Google Cloud to build AI agents that can automate tasks, utilize tools, and interact with business data.

By the end of this training, participants will be able to: explain AI agent concepts, build agents using Vertex AI, connect agents to external tools and data, and deploy agents for business use cases.

This instructor-led live training in Nantes (online or onsite) is designed for developers and DevOps professionals who want to utilize Hermes Agent to automate development tasks, manage infrastructure, and establish persistent AI workflows.

By the end of this training, participants will be able to install and configure Hermes Agent, interact with it across multiple platforms, utilize over 40 built-in tools, and deploy it on various backends.

This instructor-led live training in Nantes (online or onsite) is designed for business users, operations teams, and technical professionals who wish to use Hermes Agent to automate work, create reusable AI-driven processes, and improve team productivity.

By the end of this training, participants will be able to: explain the basics of Hermes Agent, set up and utilize core features, build practical workflows, and apply sound operational practices.

This instructor-led live training in Nantes (available online or onsite) is designed for developers who wish to leverage Hermes Agent to design and operate secure local AI workflows for code assistance.

By the end of the training, participants will be able to explain Hermes Agent concepts, establish secure local agent environments, construct practical coding workflows, and enforce safety and governance controls.

This instructor-led, live training in Nantes (online or onsite) is aimed at developers and technical teams who wish to use Ollama and open models to build and run private agentic AI solutions on internal infrastructure.

By the end of this training, participants will be able to: install and configure Ollama, evaluate and run open models locally, create simple agentic and retrieval-based workflows, and apply security and governance controls for regulated environments.

This instructor-led, live training in Nantes (online or onsite) is aimed at backend developers who wish to build MCP-compatible tool servers and integrate them with agent clients.

By the end of this training, participants will be able to implement MCP servers, connect them to Claude Code and OpenClaude, switch transports, and maintain an internal tool registry.

This instructor-led, live training in Nantes (online or onsite) is aimed at beginner-level / intermediate-level / advanced-level AI professionals who wish to use MCP to connect AI assistants with external tools, data, and enterprise services.

By the end of this training, participants will be able to: explain MCP concepts, identify key architecture components, set up a basic integration, and apply security good practices.

This instructor-led, live training in Nantes (online or onsite) targets beginner to intermediate-level developers and technical teams who want to utilize OpenAI APIs to construct AI agents capable of reasoning, tool usage, and completing multi-step tasks.

By the end of this training, participants will be able to: design agent workflows, integrate tools and external data sources, manage context and responses, and test agents for business utility.

This instructor-led, live training in Nantes (online or onsite) is aimed at intermediate-level / advanced-level developers and technical professionals who wish to use OpenClaw to build and run practical AI agents that automate work through chat and tool integrations.

By the end of this training, participants will be able to: install and configure OpenClaw, connect an LLM provider, use and adapt skills for automation, and apply basic security and operational guardrails.

This instructor-led live training in Nantes (online or onsite) targets senior developers who wish to use Pi to build lightweight, customizable terminal agent workflows.

By the end of this training, participants will be able to install Pi, extend it with TypeScript skills, adapt workflows to team standards, and share extensions via npm.

This instructor-led live training in Nantes (online or onsite) is aimed at developers who wish to use Pi Coding Agent to generate code, review changes, and streamline terminal-based development workflows.

By the end of this training, participants will be able to: explain Pi Coding Agent concepts, set up and use the tool effectively, apply it to practical coding tasks, and adopt safe team workflows.