Whether delivered online or on-site, these instructor-led live Agentic AI training courses offer interactive, hands-on experiences that illustrate how to leverage autonomous decision-making systems to automate workflows, enhance data-driven decision-making, and streamline business processes.
Agentic AI training is offered in two formats: "online live training" or "onsite live training". Online live training, also referred to as "remote live training", takes place via an interactive remote desktop. Onsite live training can be conducted either at your premises in Nantes or within NobleProg's corporate training centers in Nantes.
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 training in Nantes delves into generative and agentic AI, equipping you to construct and assess autonomous systems. Master prompt engineering, integrate tools, and deploy responsible, goal-driven agents to enhance real-world productivity and intelligent automation.
This live training on Nantes examines the impact of agentic AI on organizational workflows, talent strategies, and job design. Suited for intermediate professionals, it addresses autonomous decision-making, enterprise readiness, and governance frameworks to guarantee responsible and compliant AI adoption.
This instructor-led bootcamp in Nantes provides a practical pathway for building autonomous AI agents in Python. Participants will complete five progressive projects that cover design patterns, API orchestration, and multi-agent workflows, bridging the gap between theory and real-world deployment.
This hands-on course in Nantes walks you through the process of deploying agentic AI on resource-constrained devices. Discover how to construct, optimize, and manage lightweight agents for local reasoning using Python, TensorFlow Lite, and PyTorch Mobile, ultimately boosting speed, privacy, and reliability.
This live, instructor-led training in Nantes provides an introduction to agentic AI, addressing prompt engineering, design patterns, and ethical usage. Learners will gain the skills to construct simple agent workflows using Python, integrate external tools, and apply safety measures to ensure the effectiveness, security, and scalability of autonomous systems.
This instructor-led, live training in Nantes guides intermediate professionals on designing and scaling agentic AI for business automation. Learn to map workflows, integrate tools, and build practical use cases in customer service, supply chain, and marketing, ensuring measurable impact.
This live training in Nantes empowers advanced professionals to design and build multi-agent systems using Python. It covers agent coordination, reinforcement learning, and distributed computing with frameworks like Mesa and Ray, culminating in a hands-on capstone project.
This instructor-led training on Nantes focuses on reinforcement learning and decision-making for agentic AI. Students will implement DQN, PPO, and A3C using Python, model environments with OpenAI Gym, and integrate these methodologies into robotics and planning systems to achieve real-world adaptive behavior.
This live training in Nantes empowers advanced professionals to scale and operationalize agentic AI systems for production use. By covering MLOps, observability, and cost control, it enables the design of resilient, transparent, and cost-efficient pipelines for large-scale deployments.
This live, instructor-led training in Nantes enables BI professionals to modernize legacy systems with WrenAI. You will assess current environments, plan migrations toward conversational analytics, and drive change management efforts to guarantee successful adoption and tangible business value.
This instructor-led training in Nantes explores the essential components of agentic AI security, including governance, identity management, and red-teaming. It enables advanced practitioners to architect secure deployments, enforce least-privilege access protocols, and carry out adversarial testing to effectively mitigate real-world threats in production settings.
This instructor-led live training in Nantes emphasizes practical Python implementation for autonomous AI agents. It explores modern SDKs such as LangChain and AutoGen, empowering engineers to build, connect, and orchestrate complex agent workflows with confidence.
This instructor-led training in Nantes enables finance professionals to utilize WrenAI for KPI modeling and the creation of compliance-aware dashboards. Learners will develop practical skills in integrating data sources, ensuring audit readiness, and generating risk management reports to support informed decision-making.
This live, instructor-led training in Nantes focuses on practical Python methodologies for developing autonomous agents, covering agent loops, tool integration, memory management, orchestration, and safety controls. Specifically designed for ML engineers, it emphasizes the deployment of robust, production-ready agents.
This instructor-led course in Nantes empowers advanced professionals with critical skills for WrenAI quality assurance. Learners will gain expertise in evaluating NL-to-SQL accuracy, applying prompt tuning, and establishing observability frameworks, making it ideal for achieving enterprise-grade reliability and compliance.
Discover the potential of agentic AI in healthcare through this instructor-led training in Nantes. Master the design, assessment, and governance of agent workflows for clinical applications. Through hands-on labs and scenario-based exercises, participants will develop retrieval-augmented agents, implement guardrails, and oversee governance.
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 live, instructor-led training in Nantes empowers operations professionals to master WrenAI Spreadsheets and the Metrics Library. Gain the skills to construct AI-driven reports, establish live data connections, and optimize workflows to boost operational analytics and foster efficient business reporting.
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 live, instructor-led training in Nantes provides intermediate engineers with the expertise to leverage the WrenAI API for practical use cases. Participants will master generating SQL from natural language, creating and embedding charts, and seamlessly integrating the API into backend architectures and internal tools.
This instructor-led, live training in Nantes (online or onsite) is designed for advanced professionals seeking to utilize Agentic AI for enterprise-scale automation and strategic AI integration.
Upon completing this training, participants will be capable of:
Grasping the role of Agentic AI within enterprise applications.
Integrating autonomous AI agents with enterprise systems.
Optimizing AI-driven workflows for improved scalability and efficiency.
Ensuring compliance, security, and governance in AI automation.
Developing AI-driven business strategies to support digital transformation.
This practical training in Nantes leads data professionals through the essentials of configuring WrenAI Cloud, linking diverse data sources, and structuring data for effective analytics. Learners will master transforming information and constructing interactive dashboards that provide actionable business intelligence.
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.
Within Nantes, discover how to construct robust semantic layers and optimize text-to-SQL capabilities using WrenAI OSS. Designed for advanced data and ML engineers, this course delves into prompt tuning, the implementation of safety controls, and seamless integration into pipelines and analytical workflows to ensure dependable performance.
This instructor-led, live training in Nantes (online or onsite) targets intermediate-level AI engineers, ML researchers, and developers aiming to build and deploy Agentic AI systems in practical applications.
By the end of this training, participants will be able to:
Grasp the fundamental principles of Agentic AI systems.
Develop AI agents capable of autonomous reasoning and action.
Integrate Agentic AI with APIs and third-party services.
Optimize interactions among multiple agents for complex tasks.
Address ethical, security, and scalability challenges inherent in Agentic AI.
This live training in Nantes assists SaaS teams in embedding WrenAI's GenBI capabilities into customer-facing products through the Embedded API. You will learn to configure white-label analytics, design secure multi-tenant deployments, and optimize performance while maintaining compliance in modern, scalable SaaS environments.
This instructor-led, live training in Nantes (online or in-person) targets beginner-level professionals seeking to understand the fundamental concepts of Agentic AI, its capabilities, and its potential impact across industries.
Upon completing this training, participants will be able to:
Comprehend the core principles of Agentic AI.
Distinguish between traditional AI and autonomous AI agents.
Examine real-world applications of Agentic AI across various sectors.
Evaluate the advantages and challenges associated with deploying autonomous AI systems.
Analyze the ethical and security implications of Agentic AI.
This instructor-led training in Nantes provides product teams with the expertise to implement WrenAI for conversational analytics. Learners will master designing reliable NL-to-SQL workflows, standardizing metrics, and integrating self-service BI dashboards into their everyday product management routines.
This one-day course equips software engineers, technical leads, and development teams with a practical framework for leveraging AI coding agents effectively in real-world projects. Moving beyond simple prompting techniques, the curriculum explores the entire agent ecosystem, covering context engineering, reusable workflows, MCP (Model Context Protocol) integrations, feedback loops, security measures, and organizational adoption strategies.
AI agents are transitioning from experimental prototypes to robust production systems capable of autonomous operation across text, image, speech, and tool-driven workflows. This shift demands heightened engineering rigor, resilience against adversarial threats, and strict regulatory accountability. This instructor-led training guides advanced practitioners through the complete agent lifecycle, covering the architecture of single and multi-agent systems, integration of multi-modal perception, and orchestration of coordinated behaviors using modern frameworks. Through progressively complex Python-based labs, participants construct a production-grade multi-agent system and stress-test it with adversarial techniques and the Adversarial Robustness Toolbox. The course concludes with alignment to NIST AI RMF, ISO/IEC 42001, the EU AI Act, and GDPR, alongside secure deployment, monitoring, and incident response protocols, ensuring participants can deliver agents that are capable, defensible, and compliant.
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 targets intermediate-level professionals looking to automate business processes and build their first AI agent using Make.
By the end of this training, participants will be able to:
Design no-code workflows in Make utilizing triggers and webhooks.
Connect an AI agent to their data within a flow.
Automate a real process end-to-end, incorporating error handling and monitoring.
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Testimonials (4)
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
Good mixvof knowledge and practice
Ion Mironescu - Facultatea S.A.I.A.P.M.
Course - Agentic AI for Enterprise Applications
The mix of theory and practice and of high level and low level perspectives
Ion Mironescu - Facultatea S.A.I.A.P.M.
Course - Autonomous Decision-Making with Agentic AI
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