Google AI represents one of the most ambitious pushes 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 Graz 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
NobleProg Graz
Waagner-Biro-Strasse 47, Graz, Austria, 8020
Overview
Our training facilities are located at Waagner-Biro-Strasse 47 in Graz. Our spacious training rooms are located directly in the old town and offer optimal training conditions for your needs.
Directions
The NobleProg training facilities are best reached via the A9 motorway and the federal highway 67.
Parking spaces
There are parking spaces in the streets around our training rooms as well as the ContiPark multi-storey car park.
Local infrastructure
There are numerous restaurants in the downtown area and hotels are also within walking distance.
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 lightweight AI framework designed for efficient on-device model execution on Android.
This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level Android developers who wish to integrate optimized AI capabilities directly into mobile applications.
Upon 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 constrained mobile environments.
Apply best practices for secure, privacy-preserving on-device AI.
Format of the Course
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
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 designed to accelerate and compress models for efficient on-device and edge deployment.
This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level professionals who wish to optimize, compress, and deploy AI models for edge environments using Nano Banana.
At the conclusion of the program, learners will be able to:
Apply compression and quantization techniques to AI models.
Accelerate inference performance for edge devices.
Convert and deploy models using Nano Banana’s toolchain.
Evaluate trade-offs between accuracy, latency, and resource usage.
Format of the Course
Instructor-led technical sessions and guided discussion.
Hands-on exercises using real-world edge-AI scenarios.
Practical implementation using a configured live environment.
Course Customization Options
For tailored content or organization-specific adaptations, please reach out to arrange a customized version of this course.
Nano Banana is a specialized model optimized for fast, efficient on-device AI execution.
This instructor-led, live training (online or onsite) is aimed at intermediate-level practitioners who wish to design and deploy AI-powered mobile applications using Nano Banana without relying on cloud infrastructure.
Upon completing this program, attendees should be able to:
Implement Nano Banana models directly on mobile devices.
Optimize AI workloads for performance and energy efficiency.
Integrate text and image generation features into mobile apps.
Troubleshoot, benchmark, and refine on-device inference pipelines.
Format of the Course
Instructor-guided demonstrations and collaborative discussion.
Practical exercises focused on real-world use cases.
Hands-on development and testing within a live mobile environment.
Course Customization Options
If you require a tailored version of this course, please contact us to discuss customization options.
Gemini 3 is an AI-powered system that enhances Google Search and workplace productivity through AI Mode.
This instructor-led, live training (online or onsite) is aimed at beginner-level users who wish to leverage Gemini 3 to streamline research, planning, analysis, and daily knowledge work.
Throughout this training, participants will gain the skills needed to:
Use Gemini 3 in AI Mode to accelerate research and information discovery.
Apply Gemini-assisted workflows to summarize content and extract insights.
Integrate Gemini 3 features into everyday productivity tasks.
Adopt best practices for responsible and reliable use of AI tools.
Format of the Course
Instructor-guided presentations and demonstrations.
Structured hands-on exercises for practical skill building.
Real-world applications using live search and productivity scenarios.
Course Customization Options
For tailored training adapted to your workflows, please contact us to discuss customization options.
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 an advanced multimodal AI system designed to support deep reasoning, high-context tasks, and long-form analytical workflows.
This instructor-led, live training (online or onsite) is aimed at advanced-level professionals who wish to leverage Deep-Think Mode to conduct complex analysis, modeling, and strategic planning.
By completing this course, participants will be equipped to:
Apply Deep-Think Mode to solve intricate, multi-layered problems.
Design reasoning pipelines that incorporate long-context analysis.
Optimize prompts for iterative, multi-step reasoning tasks.
Integrate Deep-Think capabilities into research or production workflows.
Format of the Course
Expert-led presentations with real examples.
Hands-on reasoning labs and structured exercises.
Applied development using live experimentation environments.
Course Customization Options
Customized sessions or domain-specific deep-reasoning projects can be arranged upon request.
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 provides streamlined integration options for embedding Gemini models directly into mobile and web applications using Firebase and SDKs. This enables developers and product teams to deliver AI-powered features at the app level, such as intelligent assistants, multimodal input handling, and personalized user experiences.
This instructor-led, live training (online or onsite) is aimed at beginner-level 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:
Set up Firebase and SDKs for Vertex AI integration.
Embed Gemini-powered features into mobile and web apps.
Handle multimodal inputs such as text, image, and audio in client apps.
Deploy and monitor AI features in production applications.
Format of the Course
Interactive lecture and discussion.
Hands-on labs with Firebase and Vertex AI SDKs.
Project-based exercises for app-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 provides enterprise-ready tools for managing the full machine learning lifecycle, including observability, compliance, and operational excellence. With live monitoring, data residency controls, grounding, and integrated Gen AI evaluation, Vertex AI is designed to meet the demands of production-grade AI systems.
This instructor-led, live training (online or onsite) is aimed at intermediate to advanced-level professionals who wish to deploy, monitor, and govern Vertex AI models in enterprise environments.
By the end of this training, participants will be able to:
Set up 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
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 Graz (online or onsite) is aimed at intermediate-level public sector professionals who wish to use Gemini to generate high-quality content, assist with 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 provides powerful tools for building multimodal LLM workflows that integrate text, audio, and image data into a single pipeline. With long context window support and Gemini API parameters, it enables advanced applications in planning, reasoning, and cross-modal intelligence.
This instructor-led, live training (online or onsite) is aimed at intermediate to advanced-level practitioners who wish to design, build, and optimize multimodal AI workflows in Vertex AI.
By the end of this training, participants will be able to:
Leverage Gemini models for multimodal inputs and outputs.
Implement long-context workflows for complex reasoning.
Design pipelines that integrate text, audio, and image analysis.
Optimize Gemini API parameters for performance and cost efficiency.
Format of the Course
Interactive lecture and discussion.
Hands-on labs with multimodal workflows.
Project-based exercises for applied multimodal use cases.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Google Gemini AI is a cutting-edge large language model that offers advanced AI capabilities such as natural language understanding, text generation, and multimodal processing, enabling developers to build intelligent and context-aware applications.
This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level developers who wish to practically apply AI concepts using Google Gemini AI through hands-on projects, real-world examples, and collaborative exercises.
By the end of this training, participants will be able to:
Set up and use Google Gemini AI and related tools effectively.
Develop AI-driven applications using text and image inputs.
Leverage NotebookLM for practical AI workflows and document-based reasoning.
Collaborate in small groups to design and deploy working AI prototypes.
Format of the Course
Interactive lecture and guided discussion.
Hands-on lab exercises and collaborative projects.
Practical assignments using Google Gemini AI and NotebookLM.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Google AI Studio is a platform 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
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 is a no-code/low-code environment for creating grounded agents that combine generative models with retrieval-augmented generation (RAG), allowing teams to rapidly build agents that use enterprise data and search to provide accurate, context-aware responses.
This instructor-led, live training (online or onsite) is aimed at intermediate-level practitioners who wish to design, configure, and deploy smart agents using Vertex AI Agent Builder and RAG patterns.
By the end of this training, participants will be able to:
Design grounded agent workflows using Agent Builder.
Implement RAG pipelines with search and vector stores.
Integrate enterprise data sources securely for retrieval.
Evaluate and iterate agent behavior using testing and metrics.
Format of the Course
Interactive lecture and discussion.
Hands-on labs using Vertex AI Agent Builder and RAG components.
Project-based exercises to build and refine agents.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Vertex AI provides advanced tools for fine-tuning large models and managing prompts, enabling developers and data teams to optimize model accuracy, streamline iteration workflows, and ensure evaluation rigor with built-in libraries and services.
This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level practitioners who wish to improve performance and reliability of generative AI applications using supervised fine-tuning, prompt versioning, and evaluation services in Vertex AI.
By the end 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.
Format of the Course
Interactive lecture and discussion.
Hands-on labs with Vertex AI fine-tuning and prompt tools.
Case studies of enterprise model optimization.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
This instructor-led, live training in Graz (online or onsite) is aimed at beginner-level to intermediate-level data analysts and business professionals who wish 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 Graz (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 Graz (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 provides a unified platform for generative media, offering models like Veo for video, Imagen for image creation, Chirp for speech, and Lyria for music. These capabilities enable production-ready workflows for creative, marketing, and enterprise use cases.
This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level professionals who wish to harness generative AI for multimedia content creation and deployment using Vertex AI.
By the end of this training, participants will be able to:
Generate images, videos, audio, and music using Vertex AI’s suite of models.
Integrate generative media into marketing and product workflows.
Optimize prompts and fine-tune outputs for quality and brand consistency.
Deploy production-ready generative media solutions in enterprise settings.
Format of the Course
Interactive lecture and discussion.
Hands-on exercises with Vertex AI generative media models.
Real-world case studies and creative project labs.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
This instructor-led, live training in Graz (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 Graz (online or onsite) is aimed at intermediate-level participants who wish to explore workflow automation with Google AI Studio, leveraging 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 Graz (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:
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 Graz (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 Graz (online or onsite) is aimed at beginner-level to intermediate-level developers who wish to integrate AI functionalities into their applications using Google Gemini AI.
By the end of this training, participants will be able to:
Understand the fundamentals of large language models.
Set up and use Google Gemini AI for various AI tasks.
Implement text-to-text and image-to-text transformations.
Build basic AI-driven applications.
Explore advanced features and customization options in Google Gemini AI.
This instructor-led, live training in Graz (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 Graz (online or onsite) is aimed at beginner to intermediate-level software engineers or anyone who wish to learn how to use Vertex AI to perform and complete machine learning activities.
By the end of this training, participants will be able to:
Understand how Vertex AI works 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.
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Testimonials (2)
Overall, the training was very informative, the trainer provided different use case scenario and exercises so we can be familiarized with the Vertex AI application.
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