Google AI stands as one of the most ambitious initiatives in the field of artificial intelligence, propelling innovation across language, vision, and generative technologies. With tools ranging from Gemini to AI Studio, the platform is fundamentally changing how organizations architect intelligent systems and redefine digital interactions.
Our instructor-led live training courses offer participants direct access to Google’s AI ecosystem. By engaging in interactive, hands-on activities, learners discover how to deploy models, create prototypes, and embed intelligent services into core business processes.
Participating remotely places you in a collaborative environment where code, data, and dialogue move fluidly through an interactive remote desktop, supported in real time by seasoned instructors.
For teams that prefer in-person learning, sessions can be conducted at your premises in Prague or within NobleProg corporate training centers. This setup provides a focused space to explore Google AI within contexts that closely reflect actual business requirements.
Often referred to simply as Google’s Artificial Intelligence platform, this area bridges the gap between professionals and cutting-edge developments in machine learning and generative AI. It enables users to leverage innovation from one of the world’s leading technology pioneers.
From Prague Main Train Station (Praha hlavní nádraží)
Take tram 9 from Hlavní nádraží toward Sídliště Řepy.
Get off at Újezd.
Walk about 10 minutes toward Malostranské náměstí / Prokopská.
Continue along Prokopská to 296/8.
Alternative: Take the metro C from Hlavní nádraží → Muzeum, change to metro A → Malostranská, then walk across Malá Strana. This involves more walking.
From Prague Bus Station — Florenc
Take metro B from Florenc toward Zličín.
Get off at Můstek.
Change to metro A toward Nemocnice Motol.
Get off at Malostranská.
Walk approximately 10–15 minutes to Prokopská 296/8.
This instructor-led training in Prague provides a practical entry point into Nano Banana, a lightweight LLM framework. Designed for professionals, it addresses efficient, low-cost deployment and real-world utility, helping you establish a solid foundation in on-device AI, integration, and business value.
In this instructor-led training held in Prague, Android developers will learn to integrate Nano Banana for efficient on-device AI. You will gain mastery over SDK configuration, real-time inference, and performance tuning for mobile contexts, ensuring the development of secure and privacy-focused applications.
This instructor-led training in Prague explores the use of Nano Banana for privacy-preserving mobile AI. It addresses on-device processing, secure integration, and compliance strategies for sensitive environments, empowering professionals to develop robust, regulation-compliant applications with complete control over data.
This live, instructor-led training in Prague delves into optimizing AI models for edge deployment via Nano Banana. Participants will master compression, quantization, and acceleration techniques to boost on-device inference performance, achieving an optimal balance among accuracy, latency, and resource utilization.
This live training in Prague centers on the development of on-device AI applications using Nano Banana. Participants will learn to optimize models for mobile performance, integrate text and image functionalities, and refine inference pipelines independent of cloud services, thereby acquiring practical skills for real-world implementation.
This live, instructor-led training in Prague introduces Gemini 3's AI Mode within the context of Google Search and professional knowledge work. Entry-level learners are guided to optimize research, summarization, and daily operational tasks. Through hands-on exercises, participants develop practical skills for the responsible integration of AI in contemporary business settings.
Instructor-led training in Prague that explores Gemini 3’s safety features, governance frameworks, and defenses against prompt injection. Develop skills in applying resilience strategies, managing data risks, and auditing AI behavior through hands-on labs designed for secure, policy-aligned deployments of multimodal systems.
This instructor-led, live training in Prague delves into Gemini 3's Deep-Think Mode to enhance advanced reasoning capabilities. Participants will acquire the skills to architect long-context pipelines, fine-tune multi-step prompts, and embed deep-thinking functionality into sophisticated analytical workflows for effective strategic planning.
This instructor-led training in Prague explores Gemini 3’s multimodal AI capabilities, enabling you to build applications that process images, audio, video, and text through unified pipelines. Discover how to integrate endpoints, design scalable architectures, and craft interactive prototypes.
This instructor-led training in Prague focuses on building autonomous agents using Gemini 3 and Antigravity. Participants will learn to design reasoning workflows, integrate enterprise systems, and optimize agent safety. It is ideal for advanced professionals seeking practical AI development skills.
This instructor-led training in Prague empowers developers to integrate Gemini models into mobile and web applications using Firebase and SDKs. It addresses environment configuration, multimodal input management, and the deployment of AI-enhanced features to production settings, emphasizing industry best practices.
This instructor-led training in Prague empowers professionals to construct reasoning-driven, multimodal workflows using Gemini 3. Discover how to design enterprise processes that handle text, images, and data via AI Studio and Vertex AI, while applying advanced prompt engineering to maximize decision support.
This instructor-led training in Prague explores enterprise MLOps, live monitoring, and compliance strategies for Vertex AI. Participants will develop practical skills in constructing pipelines, grounding Gen AI models, and enforcing data residency controls to achieve operational excellence.
This instructor-led live training in Prague (available online or on-site) is tailored for intermediate-level public sector professionals interested in using Gemini to generate high-quality content, assist with research, and improve 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.
This live session in Prague empowers practitioners to architect, construct, and optimize multimodal LLM workflows within Vertex AI. The curriculum covers Gemini models, long-context reasoning, and integrated pipelines for text, audio, and image data. Practical labs ensure participants are prepared for real-world implementation.
This live, instructor-led training in Prague guides beginner to intermediate developers through Google Gemini AI via practical, hands-on projects. Learners will construct AI-driven applications, integrate NotebookLM, and deploy prototypes while mastering LLM fundamentals and real-world applications.
This live, instructor-led training in Prague focuses on designing, testing, and deploying optimized AI workflows using Google AI Studio. Participants acquire hands-on expertise in integrating models and APIs, improving performance, maintaining security compliance, and managing production-grade, scalable solutions.
This instructor-led, live training in Prague focuses on designing grounded agents using Vertex AI Agent Builder and RAG. Participants will learn to implement pipelines, securely integrate enterprise data, and evaluate agent performance. This course is ideal for intermediate practitioners developing intelligent solutions.
This instructor-led training in Prague delves into advanced fine-tuning and prompt management within Vertex AI. It is designed to help intermediate and advanced practitioners optimize Gemini models, establish rigorous evaluation workflows, and deploy dependable generative AI solutions suitable for real-world enterprise scenarios.
This instructor-led, live training in Prague (online or on-site) targets beginner to intermediate data analysts and business professionals who wish to perform complex data analysis tasks more intuitively across various industries using Google Gemini AI.
Upon completing this training, participants will be able to:
This instructor-led live training, offered in Prague (online or onsite), targets intermediate-level IT managers, business application developers, and system integrators seeking to merge Google AI Studio's capabilities with their business applications.
By the conclusion 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 live, instructor-led training in Prague, offered online or onsite, is designed for intermediate content creators looking to harness Google Gemini AI to improve their content's quality and productivity.
By the conclusion of this session, participants will be able to:
Understand the impact of AI on content creation processes.
Set up and operate Google Gemini AI for content generation and optimization.
Apply text-to-text techniques to produce unique and creative content.
Apply SEO strategies supported by AI-generated insights.
Monitor content performance and adjust strategies with the help of Gemini AI.
Become proficient in generative media creation using Vertex AI models like Imagen and Veo. This instructor-led training in Prague includes hands-on labs for generating images, video, and audio, empowering professionals to build production-ready workflows for creative and enterprise marketing initiatives.
This instructor-led, live training in Prague (online or onsite) targets 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, conducted in Prague (via online or onsite methods), targets intermediate-level participants eager to explore workflow automation through Google AI Studio. The curriculum emphasizes leveraging the platform's tools to build, refine, and manage highly efficient automated processes.
By the end of the course, attendees will be able to:
Comprehend the key features of Google AI Studio utilized for workflow automation.
Establish and integrate Google AI Studio with external tools.
Construct and execute AI-driven workflows.
Deploy conditional logic to enhance automation intelligence.
Oversee and improve the performance of automated workflows.
This instructor-led, live training in Prague (online or onsite) is designed for intermediate-level developers, data scientists, and tech professionals who want 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 Prague (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 Prague (online or onsite) is designed for beginner to intermediate developers 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 a variety of 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 Prague (online or onsite) targets 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.
Upon completion 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 Vertex AI training in Prague delves into the core principles of machine learning, NLP, and model deployment on Google Cloud. Learners will develop hands-on experience in configuring environments, training models, and monitoring performance, thereby building practical skills essential for real-world ML workflows.
This live, instructor-led training in Prague is aimed at beginner-level business professionals who wish to prepare for the Google Cloud Digital Leader certification.
By the end of this training, participants will be able to:
Explain how Google Cloud drives digital and data transformation.
Describe Google Cloud AI/ML, infrastructure, security, and operations at a business level.
Prepare for the certification exam with mock questions and structured review.
This instructor-led, live training is tailored for beginner-level business professionals and leaders seeking to prepare for the Google Cloud Generative AI Leader certification.
By the end of this training, participants will be able to:
Explain the fundamentals of generative AI and Google's foundation models.
Describe Google Cloud's gen AI offerings and agent tooling.
Apply prompt engineering, grounding, and RAG techniques to improve output quality.
Understand secure and responsible AI principles for business adoption.
This live, instructor-led training in Prague (online or onsite) is targeted at beginner, intermediate, and advanced developers, cloud engineers, and technical product teams interested in using Google Cloud generative AI tools to build and evaluate practical AI applications.
By the end of this course, participants will be able to: understand Google Cloud's generative AI services, create effective prompts and workflows, build simple applications using Vertex AI, and apply responsible AI practices.
This live, instructor-led training in Prague (delivered online or on-site) caters to developers and technical practitioners from beginner to advanced levels who intend to leverage Google Cloud to build AI agents capable of task automation, tool integration, and interaction with business data.
By the conclusion of this program, learners will be able to: articulate core AI agent concepts, construct agents via Vertex AI, link agents to external tools and data repositories, and deploy these solutions for specific business needs.
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