Google AI stands as one of the most ambitious endeavors in artificial intelligence, fueling innovation in language processing, computer vision, and generative technologies. From the Gemini model to AI Studio, its tools are redefining how organizations architect intelligent systems and reshape digital experiences.
Our instructor-led live training courses offer participants the chance to engage directly with Google’s AI ecosystem. Through interactive, hands-on exercises, learners discover how to apply AI models, construct prototypes, and integrate intelligent services into business workflows.
Remote participation allows you to step into a collaborative environment where code, data, and discussions flow seamlessly through an interactive remote desktop, with real-time guidance from expert instructors.
For teams that prefer face-to-face learning, sessions can be conducted at your premises in Transylvania or at NobleProg corporate training centers. This provides a dedicated space to experiment with Google AI in scenarios that reflect real business requirements.
Often referred to simply as Google’s Artificial Intelligence platform, this category connects professionals with the latest advancements in machine learning and generative AI, enabling them to harness innovation from one of the world’s leading technology influencers.
NobleProg — Your Local Training Provider
Brasov, Calea Bucuresti Street
NobleProg Brasov, 13 Calea Bucuresti Street Sacele, Brasov, romania, 505600
The hotel is situated at the city entrance, being the best conference and training location in Brasov. Three conference rooms can accommodate up to 170 guests and can be modified for the company needs. These training rooms are equipped with the all necessities of a good conference or training.
Salile de training sunt situate central în Sibiu, pe principalul bulevard. Clădirea hotelului care le gazduieste este de factură clasicistă si reprezinta un punct de referinta arhitecturala a orasului.
Turnul Sfatului, Galeria de Arta Contemporana, sau parcurile Corneliu Coposu si Astra se află în imediata apropiere.
Pentru a ajunge aici de la gara, puteti merge pe jos 20min sau cu autobuzul 5 circa 10min
Locuri de parcare găsiți în parcarea supravegheata, sau pe străzile alăturate.
Cluj-Napoca, Pitești Street
NobleProg Cluj-Napoca, Strada Pitești 19, Cluj-Napoca, romania, 400124
ClujHUB has more rooms for events and training sessions, which can host from 4 to 80 people. These areas can be setup up to fit the companies need. The location is great, 10 minutes walk from the historical city center.
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
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 streamlined AI framework engineered for efficient on-device model execution within Android environments.
This instructor-led live training, available either online or onsite, targets beginner to intermediate Android developers looking to incorporate optimized AI capabilities directly into their mobile applications.
Upon completing this training, participants will be able to:
Integrate the Nano Banana SDK into their Android Studio projects.
Implement real-time AI inference using the Nano Banana APIs.
Optimize model performance specifically for resource-constrained mobile environments.
Apply best practices for secure, privacy-preserving on-device AI development.
Course Format
Guided presentations paired with collaborative discussions.
Practical coding exercises designed to reinforce core concepts.
Nano Banana is a framework designed for on-device artificial intelligence, enabling models to run locally while ensuring strict adherence to privacy standards and regulatory requirements.
This instructor-led live training session, available either online or in-person, is tailored for professionals at beginner to intermediate levels who aim to integrate privacy-preserving AI capabilities into mobile applications within regulated or sensitive sectors using Nano Banana.
Upon completing this training, participants will be equipped to:
Develop mobile applications that process data privately directly on the device.
Integrate Nano Banana to facilitate compliant AI workflows.
Implement privacy-enhancing methods such as data anonymization and secure processing techniques.
Assess and mitigate potential privacy risks associated with mobile AI development.
Course Format
Structured instruction complemented by interactive discussions and Q&A sessions.
Practical exercises focused on privacy-conscious mobile AI scenarios.
Hands-on implementation within a realistic development environment.
Customization Options
For organization-specific requirements or industry-specific compliance topics, please contact us to tailor this program.
Nano Banana is a streamlined AI framework designed to speed up and compress models, enabling efficient deployment on devices and at the edge.
This instructor-led live training (available online or onsite) targets intermediate to advanced professionals looking to optimize, compress, and deploy AI models for edge environments utilizing Nano Banana.
Upon completing the program, participants will be able to:
Implement compression and quantization methods for AI models.
Boost inference speed for edge devices.
Transform and deploy models using the Nano Banana toolchain.
Assess the balance between accuracy, latency, and resource consumption.
Course Format
Technical sessions led by an instructor alongside guided discussions.
Practical exercises based on real-world edge-AI scenarios.
Hands-on implementation within a configured live environment.
Customization Options
For specialized content or organization-specific adaptations, please contact us to arrange a tailored version of this course.
Nano Banana is a specialized model designed for rapid, efficient execution of artificial intelligence tasks directly on mobile devices.
This instructor-led live training (available online or on-site) targets intermediate-level practitioners aiming to design and deploy AI-powered mobile applications using Nano Banana, eliminating the need for cloud-based infrastructure.
After completing this program, participants will be able to:
Deploy Nano Banana models directly onto mobile devices.
Enhance AI workloads for optimal performance and energy conservation.
Incorporate text and image generation capabilities into mobile applications.
Diagnose, benchmark, and refine on-device inference pipelines.
Course Format
Instructor-led demonstrations coupled with collaborative discussions.
Practical exercises centered on real-world scenarios.
Hands-on development and testing within a live mobile environment.
Customization Options
For a customized version of this course, please reach out to us to discuss available options.
Gemini 3 is an AI-driven system that boosts Google Search capabilities and workplace efficiency via AI Mode.
This instructor-led training, available online or onsite, is designed for beginners eager to utilize Gemini 3 to simplify research, planning, analysis, and daily knowledge tasks.
Participants will acquire the skills to:
Leverage Gemini 3 in AI Mode to speed up research and information discovery.
Implement Gemini-supported workflows to summarize content and extract key insights.
Integrate Gemini 3 functionalities into everyday productivity routines.
Follow best practices for using AI tools responsibly and reliably.
Course Format
Instructor-led presentations and live demonstrations.
Guided hands-on exercises to build practical skills.
Real-world applications using live search and productivity scenarios.
Course Customization Options
For personalized training tailored to your specific workflows, please contact us to explore customization opportunities.
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
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, handle high-context tasks, and support long-form analytical workflows.
This instructor-led live training, available both online and 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.
Design reasoning pipelines that effectively incorporate long-context analysis.
Optimize prompts for iterative, multi-step reasoning tasks.
Seamlessly integrate 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
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 is an agentic development environment designed to build autonomous agents capable of planning, reasoning, coding, and acting through Gemini 3’s multimodal capabilities.
This instructor-led, live training (online or onsite) is aimed at advanced-level technical professionals who wish to design, build, and deploy autonomous agents using Gemini 3 and the Antigravity environment.
Upon finishing this training, participants will be prepared to:
Build autonomous workflows that use Gemini 3 for reasoning, planning, and execution.
Develop agents in Antigravity that can analyze tasks, write code, and interact with tools.
Integrate Gemini-driven agents with enterprise systems and APIs.
Optimize agent behavior, safety, and reliability in complex environments.
Format of the Course
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 options for embedding Gemini models directly into mobile and web applications using Firebase and SDKs. This empowers developers and product teams to deliver AI-driven features at the application level, such as intelligent assistants, multimodal input handling, and personalized user experiences.
This instructor-led, live training (available online or onsite) is designed for beginner to intermediate-level practitioners who wish to embed Vertex AI Gemini capabilities into applications using Firebase and related SDKs.
By the end of this training, participants will be able to:
Configure Firebase and SDKs for Vertex AI integration.
Integrate Gemini-powered features into mobile and web apps.
Process multimodal inputs, including text, images, and audio, within client applications.
Deploy and monitor AI features in production environments.
Course Format
Interactive lectures and discussions.
Hands-on labs utilizing Firebase and Vertex AI SDKs.
Project-based exercises focused on application-level AI features.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
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
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 offers enterprise-grade solutions designed to manage the entire machine learning lifecycle, encompassing observability, regulatory compliance, and operational excellence. Equipped with real-time monitoring, data residency controls, grounding capabilities, and integrated evaluation tools for generative AI, Vertex AI is engineered to satisfy the rigorous demands of production-level AI systems.
This instructor-led training, available in online or onsite formats, targets intermediate to advanced professionals seeking to deploy, monitor, and govern Vertex AI models within enterprise settings.
Upon completion of this training, participants will be capable of:
Establishing MLOps pipelines utilizing Vertex AI.
Monitoring and observing models through real-time insights.
Applying grounding techniques and evaluation tools specific to generative AI models.
Implementing compliance and governance strategies, including robust data residency controls.
Course Format
Interactive lectures and discussions.
Practical labs involving enterprise-grade Vertex AI tools.
Case studies and compliance-focused scenarios.
Customization Options
To request customized training for this course, please contact us to arrange details.
This instructor-led live training in Transylvania (online or onsite) targets intermediate-level public sector professionals who wish to utilize Gemini for generating high-quality content, supporting research efforts, and improving productivity through 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 equips users with robust tools for constructing multimodal LLM workflows, seamlessly combining text, audio, and image data into a unified pipeline. By leveraging support for long context windows and Gemini API parameters, it facilitates the development of sophisticated applications focused on planning, reasoning, and cross-modal intelligence.
This instructor-led, live training (available online or onsite) is designed for intermediate to advanced practitioners looking to design, build, and optimize multimodal AI workflows within Vertex AI.
Upon completion of this training, participants will be able to:
Utilize Gemini models to handle multimodal inputs and generate outputs.
Implement long-context workflows to address complex reasoning tasks.
Architect 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 tailored to applied multimodal use cases.
Customization Options
To arrange a customized version of this course, please contact us.
Google Gemini AI is an advanced large language model that delivers sophisticated AI capabilities, including natural language understanding, text generation, and multimodal processing. These features empower developers to create intelligent, context-aware applications.
This instructor-led live training, available online or onsite, is designed for developers with beginner to intermediate skill levels who want to gain practical experience with AI concepts using Google Gemini AI. The course emphasizes 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 along with related tools.
Create AI-driven applications that process both text and image inputs.
Utilize NotebookLM for efficient AI workflows and document-based reasoning.
Work in small teams to design and deploy functional AI prototypes.
Course Format
Interactive lectures combined with guided discussions.
Hands-on laboratory exercises and collaborative projects.
Practical assignments utilizing Google Gemini AI and NotebookLM.
Course Customization Options
For a customized training session tailored to your needs, please contact us to arrange it.
Google AI Studio serves as a comprehensive platform for constructing, evaluating, and launching AI-powered workflows and applications.
This instructor-led training, available online or onsite, targets intermediate-level professionals looking to streamline and optimize their AI workflows using Google AI Studio.
Upon completing this training, participants will acquire the following skills:
Design efficient AI workflows utilizing Google AI Studio.
Integrate models and APIs into automated pipelines.
Optimize performance, testing, and monitoring practices.
Implement best practices for secure and scalable AI operations.
Course Format
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/low-code environment for constructing grounded agents that integrate generative models with Retrieval-Augmented Generation (RAG). This enables teams to quickly develop agents that leverage enterprise data and search capabilities to deliver accurate, context-aware responses.
This instructor-led live training, available online or onsite, targets intermediate-level practitioners aiming to design, configure, and deploy intelligent agents using Vertex AI Agent Builder and RAG methodologies.
Upon completing this training, participants will be equipped to:
Vertex AI offers sophisticated tools for fine-tuning large models and managing prompts, empowering developers and data teams to enhance model accuracy, streamline iteration workflows, and ensure rigorous evaluation through built-in libraries and services.
This instructor-led, live training (available online or onsite) is designed for intermediate to advanced practitioners who aim to improve the performance and reliability of generative AI applications using 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 versioning and testing.
Leverage evaluation libraries to benchmark and optimize AI performance.
Deploy and monitor improved models in production environments.
Course Format
Interactive lectures and discussions.
Hands-on labs featuring Vertex AI fine-tuning and prompt tools.
Case studies on enterprise model optimization.
Customization Options
To request customized training for this course, please contact us to arrange.
This instructor-led, live training in Transylvania (online or onsite) is designed for beginner to intermediate data analysts and business professionals who aim to perform complex data analysis tasks more intuitively across various industries using Google Gemini AI.
Upon completion of this training, participants will be able to:
Grasp the core principles of Google Gemini AI.
Link diverse data sources to Gemini AI.
Investigate data using natural language queries.
Analyze data patterns and extract meaningful insights.
This instructor-led, live training in Transylvania (online or onsite) is aimed at intermediate-level IT managers, business application developers, and system integrators who wish to integrate Google AI Studio's capabilities with their business applications.
By the end of this training, participants will be able to:
Understand the key features and capabilities of Google AI Studio for business integration.
Explore and connect AI Studio with business applications via APIs.
Customize AI models for specific business use cases.
Set up 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 Transylvania (online or onsite) is designed for intermediate-level content creators who aim to enhance their content quality and efficiency through Google Gemini AI.
Upon completion 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 comprehensive platform for generative media, featuring models such as Veo for video production, Imagen for image creation, Chirp for speech synthesis, and Lyria for music generation. These tools facilitate the development of robust, production-ready workflows tailored for creative, marketing, and enterprise applications.
This instructor-led live training, available online or onsite, is designed for intermediate to advanced professionals seeking to leverage generative AI for multimedia content creation and deployment via Vertex AI.
Upon completion of this training, participants will be equipped to:
Create images, videos, audio, and music utilizing Vertex AI’s model suite.
Seamlessly integrate generative media into marketing and product development workflows.
Refine prompts and fine-tune outputs to ensure high quality and brand alignment.
Deploy scalable generative media solutions within enterprise environments.
Course Format
Interactive lectures and discussions.
Practical exercises involving Vertex AI generative media models.
Real-world case studies and creative project labs.
Customization Options
For personalized training arrangements, please contact us directly.
This instructor-led, live training in Transylvania (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 session in Transylvania (offered online or onsite) targets intermediate-level learners eager to explore workflow automation via Google AI Studio, utilizing its tools to generate, optimize, and control efficient automated processes.
By the conclusion of this training, participants will be capable of:
Comprehending the key features of Google AI Studio for automating workflows.
Configuring and linking Google AI Studio with other software tools.
Designing and executing AI-powered workflows.
Implementing conditional logic to enable smarter automation.
Monitoring and refining automated workflows for greater efficiency.
This instructor-led, live training in Transylvania (online or onsite) is designed for intermediate-level developers, data scientists, and tech professionals who want to utilize Google Vertex AI to create and deploy custom AI models.
By the end of this training, participants will be able to:
Understand 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 Transylvania (online or onsite) is aimed at intermediate-level customer service professionals who wish to implement Google Gemini AI in their customer service operations.
By the end of this training, participants will be able to:
Understand the impact of AI on customer service.
Set up Google Gemini AI to automate and personalize customer interactions.
Utilize text-to-text and image-to-text transformations to improve service efficiency.
Develop AI-driven strategies for real-time customer feedback analysis.
Explore advanced features to create a seamless customer service experience.
This instructor-led, live training in Transylvania (online or onsite) is designed for developers at the beginner to intermediate level who want to integrate AI functionalities into their applications using Google Gemini AI.
By the end of 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.
Develop basic AI-driven applications.
Explore advanced features and customization options in Google Gemini AI.
This instructor-led, live training in Transylvania (online or onsite) is tailored for beginner-level data analysts, business users, and product managers who want to learn the fundamentals of building and utilizing AI models with minimal coding via Google AI Studio.
By the end of this training, participants will be able to:
Grasp the fundamentals of AI and machine learning concepts.
Navigate and utilize the interface and tools of Google AI Studio.
Create AI models using pre-built templates and datasets.
Train and evaluate models through easy-to-follow workflows.
This instructor-led, live training in Transylvania (online or on-site) is designed for software engineers at beginner to intermediate levels, as well as anyone interested in learning how to leverage Vertex AI to execute and complete machine learning activities.
By the end of this training, participants will be able to:
Understand the workings of Vertex AI and use 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 one-day practical course helps retail teams understand how to efficiently, responsibly, and in compliance with European legislation, use generative artificial intelligence tools in their daily work, leveraging Gemini Pro.
The training combines AI literacy, responsible AI usage, and practical prompting techniques, built around real-world retail scenarios. Participants will not only understand what AI can do, but also its limitations, risks, and the responsibilities associated with using it in a professional environment.
Through hands-on exercises and role-based workshops, participants will learn how to use Gemini Pro for marketing, operations, HR, sales, customer support, analysis, and internal organization, while avoiding common mistakes and compliance risks.
The course is designed for business users, not technical teams, with a strong emphasis on immediate applicability in daily tasks.
This instructor-led live training in Transylvania (online or onsite) is aimed at beginner-level, intermediate-level, and advanced-level developers, cloud engineers, and technical product teams who wish 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 Transylvania (online or onsite) targets developers and technical practitioners at beginner, intermediate, and advanced levels who wish to use Google Cloud to build AI agents that automate tasks, utilize tools, and process 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.
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