Google AI represents one of the most ambitious initiatives in artificial intelligence, driving innovation across language, vision, and generative technologies. From Gemini to AI Studio, its tools are shaping how organizations design smarter systems and reimagine digital experiences.
Our instructor-led live training courses give participants the opportunity to work directly with Google’s AI ecosystem. Through interactive, hands-on practice, learners explore how to apply models, build prototypes, and integrate intelligent services into business workflows.
Joining remotely means stepping into a shared environment where code, data, and discussion flow through an interactive remote desktop, guided in real time by expert instructors.
For teams that learn best face to face, sessions can be hosted on customer premises in Nantes or at NobleProg corporate training centers, providing dedicated space to experiment with Google AI in contexts that mirror real business needs.
Also known simply as Google’s Artificial Intelligence platform, this category connects professionals to the latest advancements in machine learning and generative AI, helping them harness innovation from one of the world’s most influential technology leaders.
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)
Nano Banana is a lightweight large language model framework designed for efficient, low-cost, real-world use across devices and enterprise environments.
This instructor-led, live training (online or onsite) is aimed at beginner-level professionals who wish to understand how lightweight LLMs can be deployed for practical, on-device, and cost-efficient applications.
At the conclusion of this course, participants will be able to:
Explain the core concepts behind lightweight LLMs and Nano Banana.
Identify appropriate use cases for on-device and low-cost AI deployment.
Evaluate Nano Banana’s capabilities for business and IT scenarios.
Make informed decisions about integration pathways in their organization.
Format of the Course also allows for the evaluation of participants.
Instructor explanations supported by interactive dialogue.
Practical exercises to reinforce key concepts.
Hands-on exploration of lightweight LLM capabilities.
Course Customization Options
For tailored versions of this training, please contact us to customize the program.
Nano Banana is a lightweight AI framework built for efficient on-device model execution on Android.
This instructor-led live training, available online or onsite, is designed for beginner to intermediate Android developers looking to integrate optimized AI capabilities directly into their mobile applications.
After completing this training, participants will be able to:
Integrate the Nano Banana SDK into Android Studio projects.
Implement real-time AI inference using Nano Banana APIs.
Optimize model performance for resource-constrained mobile environments.
Apply best practices for secure, privacy-preserving on-device AI.
Course Format
Guided presentations and collaborative discussions.
Practical coding exercises to reinforce core concepts.
Hands-on implementation using real-world Android examples.
Course Customization Options
For tailored versions of this course, please reach out to arrange a customized program.
Nano Banana is an on-device AI framework designed to run models locally while maintaining strict privacy and regulatory compliance.
This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level professionals who wish to implement privacy-preserving AI features on mobile devices using Nano Banana for regulated or sensitive environments.
By the conclusion of this training, participants will be able to:
Build mobile applications that process data privately on-device.
Integrate Nano Banana to enable compliant AI workflows.
Apply privacy-enhancing techniques such as anonymization and secure processing.
Evaluate and mitigate privacy risks during mobile AI development.
Format of the Course also allows for the evaluation of participants.
Guided instruction supported by discussion and Q&A.
Practical exercises involving privacy-focused mobile AI scenarios.
Hands-on implementation within a real development environment.
Course Customization Options
For organization-specific needs or sector-specific compliance topics, please contact us to customize this program.
Nano Banana is a lightweight AI framework built to accelerate and compress models, enabling efficient deployment on devices and at the edge.
This instructor-led training, available online or onsite, targets intermediate to advanced professionals seeking to optimize, compress, and deploy AI models for edge environments using Nano Banana.
Upon completing this program, learners will be able to:
Apply compression and quantization techniques to AI models.
Enhance inference performance for edge devices.
Convert and deploy models utilizing Nano Banana’s toolchain.
Assess trade-offs between accuracy, latency, and resource consumption.
Course Format
Instructor-led technical sessions and guided discussion.
Hands-on exercises based on real-world edge-AI scenarios.
Practical implementation within a configured live environment.
Customization Options
For tailored content or organization-specific adaptations, please contact us to arrange a customized version of this course.
Nano Banana is a specialized model designed for high-speed, efficient on-device AI execution.
This instructor-led live training (available online or onsite) targets intermediate-level practitioners looking to design and deploy AI-powered mobile applications using Nano Banana, independent of cloud infrastructure.
Upon completing this program, attendees will be equipped to:
Deploy Nano Banana models directly onto mobile devices.
Optimize AI workloads for both performance and energy efficiency.
Incorporate text and image generation capabilities into mobile applications.
Troubleshoot, benchmark, and refine on-device inference pipelines.
Course Format
Instructor-led demonstrations coupled with collaborative discussion.
Practical exercises centered on real-world use cases.
Hands-on development and testing within a live mobile environment.
Customization Options
For those requiring a customized version of this course, please reach out to discuss available options.
Gemini 3 is an AI-driven system that boosts Google Search capabilities and workplace productivity via its AI Mode.
This instructor-led live training, available either online or onsite, targets beginner-level users looking to utilize Gemini 3 to streamline research, planning, analysis, and daily knowledge-based tasks.
During this training, participants will acquire the skills necessary to:
Leverage Gemini 3 in AI Mode to accelerate research and information discovery.
Implement Gemini-assisted workflows for summarizing content and extracting key insights.
Integrate Gemini 3 features into everyday productivity routines.
Adopt best practices for the responsible and reliable use of AI tools.
Course Format
Instructor-guided presentations and live demonstrations.
Structured hands-on exercises designed to build practical skills.
Real-world applications using live search and productivity scenarios.
Customization Options
For tailored training adapted to your specific workflows, please contact us to discuss customization possibilities.
Gemini 3 is a multimodal AI system that incorporates enhanced safeguards, governance features, and resilience against adversarial manipulation.
This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to implement secure, responsible, and policy-aligned deployments of Gemini 3.
Upon completing this course, participants will be able to:
Apply Gemini 3 safety features to reduce misuse risks.
Implement governance frameworks aligned with organizational policies.
Strengthen systems against prompt injections and adversarial inputs.
Evaluate deployments for compliance and operational integrity.
Format of the Course also allows for the evaluation of participants.
Guided instruction with real-world safety examples.
Hands-on labs focused on governance and secure prompts.
Practical exercises using controlled test environments.
Course Customization Options
Custom governance scenarios or security-focused labs can be added upon request.
Gemini 3 is a sophisticated multimodal AI system engineered to facilitate deep reasoning, high-context operations, and extensive analytical workflows.
This instructor-led live training, available online or onsite, targets advanced professionals seeking to harness Deep-Think Mode for complex analysis, modeling, and strategic planning.
Upon completing this course, participants will be able to:
Utilize Deep-Think Mode to address intricate, multi-layered challenges.
Construct reasoning pipelines that integrate long-context analysis.
Refine prompts for iterative, multi-step reasoning tasks.
Embed Deep-Think capabilities into research or production environments.
Gemini 3 is a multimodal AI platform capable of processing and reasoning across images, video, audio, and text.
This instructor-led, live training (online or onsite) is aimed at intermediate-level practitioners who wish to design and build applications that take advantage of Gemini 3’s cross-modal intelligence.
Upon completion of this workshop, participants will gain the ability to:
Integrate Gemini 3 multimodal endpoints into real-world workflows.
Process and interpret visual, audio, video, and text inputs in unified pipelines.
Build interactive prototypes using multimodal prompts.
Optimize multimodal outputs for performance, accuracy, and usability.
Format of the Course also allows for the evaluation of participants.
Guided lectures with demonstrations.
Scenario-based exercises and hands-on practice.
Practical implementation using live development environments.
Course Customization Options
For tailored content or custom project-based training, please contact us to arrange.
Google Antigravity serves as an agentic development environment tailored for constructing autonomous agents that can plan, reason, code, and execute actions utilizing Gemini 3’s multimodal capabilities.
This instructor-led, live training—available online or onsite—is designed for advanced technical professionals eager to design, build, and deploy autonomous agents using Gemini 3 and the Antigravity environment.
Upon completion of this training, participants will be equipped to:
Construct autonomous workflows leveraging Gemini 3 for reasoning, planning, and execution.
Develop agents within Antigravity capable of analyzing tasks, writing code, and interacting with external tools.
Integrate Gemini-driven agents into enterprise systems and APIs.
Optimize agent behavior, ensuring safety and reliability in complex operational environments.
Format of the Course also allows for the evaluation of participants.
Expert demonstrations combined with interactive discussions.
Hands-on experimentation with autonomous agent development.
Practical implementation using Antigravity, Gemini 3, and supporting cloud tools.
Course Customization Options
If your team requires domain-specific agent behaviors or custom integrations, please contact us to tailor the program.
Vertex AI offers streamlined integration pathways for embedding Gemini models directly into mobile and web applications through Firebase and dedicated SDKs. This empowers developers and product teams to deliver AI-driven features at the application level, including intelligent assistants, multimodal input processing, and personalized user experiences.
This instructor-led live training (available online or onsite) is designed for beginner to intermediate practitioners who aim to incorporate Vertex AI Gemini capabilities into their applications using Firebase and related SDKs.
Upon completion of this training, participants will be able to:
Configure Firebase and SDKs for Vertex AI integration.
Integrate Gemini-powered features into mobile and web applications.
Process multimodal inputs such as text, images, and audio within client apps.
Deploy and monitor AI features in production environments.
Course Format
Interactive lectures and discussions.
Practical labs involving Firebase and Vertex AI SDKs.
Project-based exercises focused on app-level AI features.
Customization Options
To request customized training for this course, please contact us to arrange your session.
Gemini 3 is a multimodal AI model designed to reason across text, images, and structured inputs to support complex enterprise workflows.
This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to build reasoning-driven and multimodal workflows using Gemini 3 within enterprise environments.
After completing this course, participants will have the skills to:
Apply Gemini 3’s reasoning capabilities to enterprise planning and decision workflows.
Design multimodal processes incorporating text, images, documents, and tabular data.
Develop business workflows using AI Studio and Vertex AI tools.
Optimize outputs through prompt engineering and iterative refinement techniques.
Format of the Course also allows for the evaluation of participants.
Guided demonstrations supported by expert explanations.
Practical exercises focused on workflow design and multimodal tasks.
Hands-on experimentation in AI Studio or Vertex AI environments.
Course Customization Options
If your organization requires tailored workflow scenarios or data integration examples, please contact us to adapt the training.
Vertex AI delivers enterprise-grade tools designed to manage the complete machine learning lifecycle, emphasizing observability, compliance, and operational excellence. Equipped with live monitoring, data residency controls, grounding capabilities, and integrated Gen AI evaluation, Vertex AI is engineered to satisfy the rigorous demands of production-grade AI systems.
This instructor-led, live training (available online or onsite) targets intermediate to advanced-level professionals seeking to deploy, monitor, and govern Vertex AI models within enterprise environments.
Upon completing this training, participants will be able to:
Establish MLOps pipelines using Vertex AI.
Monitor and observe models with real-time insights.
Apply grounding techniques and evaluation tools for Gen AI models.
Implement compliance and governance strategies, including data residency controls.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Hands-on labs with enterprise-grade Vertex AI tools.
Case studies and compliance-driven scenarios.
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 intermediate-level public sector professionals who wish to use Gemini to generate high-quality content, support research, and improve productivity through more advanced AI interactions.
By the end of this training, participants will be able to:
Craft more effective and tailored prompts for specific use cases.
Generate original and creative content using Gemini.
Summarize and compare complex information with precision.
Use Gemini for brainstorming, planning, and organizing ideas efficiently.
Vertex AI offers robust tools for constructing multimodal LLM workflows that seamlessly combine text, audio, and image data into a unified pipeline. Supported by long context window capabilities and Gemini API parameters, it empowers the development of advanced applications focused on planning, reasoning, and cross-modal intelligence.
This instructor-led, live training session (available online or onsite) is designed for intermediate to advanced practitioners looking to design, build, and optimize multimodal AI workflows within Vertex AI.
Upon completing this training, participants will be able to:
Utilize Gemini models to handle multimodal inputs and outputs.
Implement long-context workflows to facilitate complex reasoning tasks.
Design pipelines that integrate text, audio, and image analysis.
Optimize Gemini API parameters to enhance performance and cost efficiency.
Course Format
Interactive lectures and discussions.
Practical labs focused on multimodal workflows.
Project-based exercises applying multimodal use cases.
Course Customization Options
To request a customized version of this course, please reach out to us to make arrangements.
Google Gemini AI is a state-of-the-art large language model that provides sophisticated AI capabilities, including natural language comprehension, text creation, and multimodal processing, empowering developers to construct intelligent and context-sensitive applications.
This instructor-led, live training (available online or onsite) targets beginner to intermediate developers who want to practically apply AI concepts using Google Gemini AI through hands-on projects, real-world examples, and collaborative exercises.
Upon completion of this training, participants will be able to:
Effectively set up and utilize Google Gemini AI and associated tools.
Build AI-powered applications using text and image inputs.
Utilize NotebookLM for practical AI workflows and document-based reasoning.
Collaborate in small groups to design and deploy functional AI prototypes.
Course Format
Interactive lectures and guided discussions.
Hands-on lab exercises and collaborative projects.
Practical assignments involving Google Gemini AI and NotebookLM.
Customization Options
To request customized training for this course, please contact us to arrange.
Google AI Studio is a platform designed for building, testing, and deploying AI-driven workflows and applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to streamline and optimize AI workflows using Google AI Studio.
Upon completion of this training, participants will have the skills to:
Design efficient AI workflows using Google AI Studio.
Integrate models and APIs into automated pipelines.
Optimize performance, testing, and monitoring practices.
Apply best practices for secure and scalable AI operations.
Format of the Course also allows for the evaluation of participants.
Guided presentations supported by practical demonstrations.
Scenario-based practice and real-world exercises.
Hands-on configuration and workflow design in a lab environment.
Course Customization Options
To tailor this course to specific tools, workflows, or use cases, please contact us to customize the training.
Vertex AI Agent Builder provides a no-code and low-code platform for constructing grounded agents that integrate generative AI models with Retrieval-Augmented Generation (RAG). This empowers teams to swiftly create agents that leverage enterprise data and search capabilities to deliver precise, context-sensitive responses.
This live, instructor-led training, available either online or on-site, is designed for intermediate practitioners looking to design, configure, and deploy intelligent agents using Vertex AI Agent Builder and RAG methodologies.
Upon completion of this course, participants will be able to:
Vertex AI offers sophisticated tools for fine-tuning large language models and managing prompts, allowing developers and data teams to enhance model accuracy, streamline iterative workflows, and ensure rigorous evaluation through integrated libraries and services.
This instructor-led, live training (available online or on-site) is designed for intermediate to advanced practitioners looking to boost the performance and reliability of generative AI applications by utilizing supervised fine-tuning, prompt versioning, and evaluation services within Vertex AI.
Upon completion of this training, participants will be able to:
Apply supervised fine-tuning techniques to Gemini models in Vertex AI.
Implement prompt management workflows, including version control and testing.
Utilize evaluation libraries to benchmark and optimize AI performance.
Deploy and monitor enhanced models in production environments.
Course Format
Interactive lectures and discussions.
Hands-on labs focused on Vertex AI fine-tuning and prompt tools.
Case studies showcasing enterprise model optimization.
Customization Options
To request customized training for this course, please contact us to arrange it.
This instructor-led, live training in Nantes (online or onsite) is designed for beginner to intermediate data analysts and business professionals who want to perform complex data analysis tasks more intuitively across various industries using Google Gemini AI.
By the end of this training, participants will be able to:
This instructor-led, live training in Nantes (online or onsite) is tailored for intermediate-level IT managers, business application developers, and system integrators who aim to integrate Google AI Studio's capabilities with their business applications.
By the conclusion of this training, participants will be able to:
Comprehend the key features and capabilities of Google AI Studio for business integration.
Explore and link AI Studio with business applications via APIs.
Customize AI models for specific business use cases.
Establish workflows that integrate AI predictions into business processes.
Deploy AI-driven insights and automation within enterprise applications.
Troubleshoot and optimize integrations for scalability and efficiency.
This instructor-led, live training in Nantes (online or onsite) is aimed at intermediate-level content creators who wish to utilize Google Gemini AI to enhance their content quality and efficiency.
By the end of this training, participants will be able to:
Understand the role of AI in content creation.
Set up and use Google Gemini AI to generate and optimize content.
Apply text-to-text transformations to produce creative and original content.
Implement SEO strategies using AI-driven insights.
Analyze content performance and adapt strategies using Gemini AI.
Vertex AI offers a consolidated platform for generative media, featuring models such as Veo for video production, Imagen for image generation, Chirp for speech synthesis, and Lyria for music composition. These tools facilitate production-ready workflows tailored for creative, marketing, and enterprise applications.
This instructor-led, live training—available online or on-site—is designed for intermediate to advanced professionals aiming to leverage generative AI for the creation and deployment of multimedia content via Vertex AI.
Upon completion of this training, participants will be able to:
Create images, videos, audio, and music using Vertex AI’s model suite.
Incorporate generative media into marketing and product development workflows.
Refine prompts and fine-tune outputs to ensure high quality and brand alignment.
Deploy scalable, production-ready generative media solutions within enterprise environments.
Course Format
Interactive lectures and discussions.
Practical exercises utilizing Vertex AI generative media models.
Real-world case studies and creative project labs.
Customization Options
To request a customized version of this course, please contact us to arrange details.
This instructor-led, live training in Nantes (online or onsite) is aimed at advanced-level AI developers, machine learning engineers, and data scientists who wish to use Google AI Studio to develop, optimize, and deploy cutting-edge AI solutions.
By the end of this training, participants will be able to:
Navigate the Google AI Studio interface and understand its key components.
Prepare data for AI projects using Google AI Studio’s integrated tools.
Train, evaluate, and fine-tune machine learning models using AutoML and custom training features.
Deploy AI models as scalable, production-ready services.
Integrate Google AI APIs into applications to extend AI capabilities.
Leverage Explainable AI (XAI) tools for transparent and ethical AI practices.
Monitor and optimize AI models for performance and reliability.
This instructor-led live training in Nantes (online or onsite) targets intermediate-level participants who want to explore workflow automation via Google AI Studio, utilizing its tools to create, optimize, and manage efficient automated processes.
By the end of this training, participants will be able to:
Understand the core features of Google AI Studio for workflow automation.
Set up and integrate Google AI Studio with other tools.
Design and execute AI-driven workflows.
Implement conditional logic for smarter automation.
Monitor and optimize automated workflows for efficiency.
This instructor-led, live training in Nantes (online or onsite) is aimed at intermediate-level developers, data scientists, and tech professionals who wish to leverage Google Vertex AI for creating and deploying custom AI models.
By the end of this training, participants will be able to:
Grasp the capabilities and features of Google Vertex AI.
Set up and configure the Google Vertex AI environment.
Develop and train custom AI models using Vertex AI.
Deploy and manage AI models on Google Cloud Platform.
Utilize Vertex AI's tools for monitoring and optimizing model performance.
Implement best practices for AI model development and deployment.
This instructor-led, live training in Nantes (online or onsite) is aimed at intermediate-level customer service professionals who wish to implement Google Gemini AI in their customer service operations.
Upon completing this training, participants will be capable of:
Grasping the impact of AI on customer service.
Configuring Google Gemini AI to automate and personalize customer interactions.
Leveraging text-to-text and image-to-text transformations to enhance service efficiency.
Developing AI-driven strategies for real-time customer feedback analysis.
Exploring advanced features to create a seamless customer service experience.
This instructor-led, live training in Nantes (online or onsite) is designed for beginner to intermediate developers looking to integrate AI functionalities into their applications using Google Gemini AI.
Upon completing this training, participants will be able to:
Grasp the fundamentals of large language models.
Set up and utilize Google Gemini AI for various AI tasks.
Implement text-to-text and image-to-text transformations.
Construct basic AI-driven applications.
Explore advanced features and customization options within Google Gemini AI.
This instructor-led, live training in Nantes (online or onsite) is aimed at beginner-level data analysts, business users, and product managers who wish to learn the basics of building and utilizing AI models with minimal coding using Google AI Studio.
By the end of this training, participants will be able to:
Understand the fundamentals of AI and machine learning concepts.
Navigate and utilize Google AI Studio's interface and tools.
Create AI models using pre-built templates and datasets.
Train and evaluate models with easy-to-follow workflows.
This instructor-led, live training in Nantes (online or onsite) is designed for software engineers at beginner to intermediate levels, or anyone keen on learning how to leverage Vertex AI for machine learning tasks.
By the end of this training, participants will be able to:
Understand how Vertex AI operates and apply it as a machine learning platform.
Learn about machine learning and NLP concepts.
Know how to train and deploy machine learning models using Vertex AI.
This instructor-led, live training in Nantes (online or onsite) is targeted at beginner, intermediate, or advanced developers, cloud engineers, and technical product teams who aim to use Google Cloud generative AI tools to build and evaluate practical AI applications.
By the end of this training, participants will be able to: understand Google Cloud generative AI services, create prompts and workflows, build simple applications with Vertex AI, and apply responsible AI practices.
This instructor-led, live training in Nantes (online or onsite) is designed for beginner, intermediate, and advanced developers and technical practitioners who wish to utilize Google Cloud to build AI agents capable of automating tasks, using tools, and interacting with business data.
By the end of this training, participants will be able to explain AI agent concepts, construct agents with Vertex AI, connect agents to external tools and data, and deploy agents for business use cases.
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