Google AI stands as one of the most significant initiatives in the field of artificial intelligence, fostering innovation across language processing, computer vision, and generative technologies. Ranging from Gemini to AI Studio, these tools are transforming the way organizations engineer intelligent systems and revamp digital interactions.
Our instructor-led live training programs offer participants the chance to engage directly with Google’s AI ecosystem. Through interactive, practical exercises, learners discover how to deploy models, develop prototypes, and embed intelligent services into their business operations.
Participating remotely allows you to enter a collaborative environment where code, data, and dialogue are exchanged in real time via an interactive remote desktop, all while being guided by expert instructors.
For teams that benefit from in-person instruction, sessions can be conducted at your location in Sofia or at NobleProg corporate training centers, offering a dedicated area to test Google AI in scenarios that reflect actual business requirements.
Often referred to as Google’s Artificial Intelligence platform, this category links professionals to the newest developments in machine learning and generative AI, enabling them to utilize innovation from one of the world’s leading technology firms.
NobleProg — Your Local Training Provider
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Crystal Business Center is located in the central part of Sofia, on the corner of "Osogovo" street. and "Todor Aleksandrov" blvd. The building is easily accessible by metro (only 50 m from Opalchenska station) and other public transport. Its total area is 8000 sq.m. The office area is 6171 sq.m.
Nano Banana is a lightweight large language model framework engineered for efficient, cost-effective real-world deployment across consumer devices and enterprise settings.
This guided, live training session (available online or in-person) is designed for entry-level professionals seeking to comprehend how lightweight LLMs can be effectively deployed for practical, on-device, and budget-friendly applications.
Upon completing this course, participants will be equipped to:
Articulate the fundamental principles of lightweight LLMs and the Nano Banana framework.
Recognize suitable scenarios for on-device and low-cost AI implementation.
Assess Nano Banana’s potential for various business and IT contexts.
Make well-informed choices regarding integration strategies within their organization.
Course Format
Instructor-led explanations enhanced by interactive discussion.
Practical exercises designed to reinforce core concepts.
Direct exploration of lightweight LLM functionalities.
Customization Options
For bespoke versions of this training, please reach out to us to tailor the program to your needs.
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 engineered to execute models locally, ensuring stringent privacy standards and regulatory compliance.
This instructor-led live training (available online or onsite) targets beginner to intermediate professionals aiming to implement privacy-preserving AI capabilities on mobile devices using Nano Banana, particularly in regulated or sensitive environments.
Upon completing this training, participants will be able to:
Develop mobile applications that process data privately on the device.
Integrate Nano Banana to facilitate compliant AI workflows.
Apply privacy-enhancing techniques such as anonymization and secure processing.
Identify and mitigate privacy risks associated with mobile AI development.
Course Format
Guided instruction complemented by discussion and Q&A sessions.
Practical exercises focused on privacy-centric mobile AI scenarios.
Hands-on implementation within a real-world development environment.
Customization Options
For organization-specific requirements or sector-specific compliance topics, please contact us to tailor this program.
Nano Banana is a streamlined AI framework created to speed up and compress models, enabling efficient deployment on devices and edge infrastructure.
This instructor-led, live training session (available online or in-person) is designed for intermediate to advanced professionals seeking to optimize, compress, and deploy AI models for edge environments utilizing Nano Banana.
Upon completing the program, participants will be equipped to:
Implement compression and quantization methods on AI models.
Enhance inference speed for edge hardware.
Convert and deploy models using the Nano Banana toolchain.
Assess the balance between accuracy, latency, and resource consumption.
Course Structure
Technical sessions led by an instructor combined with 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 company-specific adaptations, contact us to arrange a tailored 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.
Course Structure
Instructor-guided demonstrations and collaborative discussion.
Practical exercises focused on real-world use cases.
Hands-on development and testing within a live mobile environment.
Options for Course Customization
If you require a tailored version of this course, please contact us to discuss customization options.
Gemini 3 is an AI-driven system designed to boost Google Search capabilities and enhance workplace productivity via AI Mode.
This instructor-led live training, available online or onsite, is tailored for beginner-level users aiming to leverage Gemini 3 to streamline research, planning, analysis, and daily knowledge tasks.
Throughout this course, participants will develop the skills necessary to:
Utilize Gemini 3 in AI Mode to accelerate research and information discovery.
Implement Gemini-assisted workflows to summarize content and extract 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 demonstrations.
Structured hands-on exercises for practical skill development.
Real-world applications using live search and productivity scenarios.
Course Customization Options
For training tailored 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
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, manage high-context tasks, and support extensive analytical workflows.
This instructor-led live training, available in both online and onsite formats, is tailored for advanced professionals seeking to utilize 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 to optimize iterative, multi-step reasoning processes.
Seamlessly incorporate Deep-Think capabilities into research or production environments.
Gemini 3 serves as a powerful multimodal AI platform, designed to process and reason across diverse data types including images, video, audio, and text.
This instructor-led live training session, available both online and onsite, targets intermediate-level practitioners looking to design and develop applications that leverage Gemini 3’s cross-modal intelligence.
After completing this workshop, participants will be equipped to:
Seamlessly integrate Gemini 3 multimodal endpoints into existing workflows.
Process and interpret visual, audio, video, and text inputs within unified pipelines.
Develop interactive prototypes using advanced multimodal prompting techniques.
Optimize multimodal outputs to ensure high performance, accuracy, and user usability.
Course Format
Guided lectures supported by live demonstrations.
Scenario-based exercises and practical hands-on practice.
Real-world implementation within live development environments.
Customization Options
For tailored content or custom project-based training, please contact us to make arrangements.
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 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 artificial intelligence model engineered to process reasoning across text, images, and structured data to facilitate complex enterprise operations.
This instructor-led training, available online or on-site, targets intermediate-level professionals aiming to construct reasoning-driven and multimodal workflows using Gemini 3 within corporate settings.
Upon completion of this course, participants will possess the competencies to:
Leverage Gemini 3’s reasoning powers for enterprise planning and decision-making processes.
Craft multimodal processes that integrate text, images, documents, and tabular information.
Build business workflows utilizing AI Studio and Vertex AI tools.
Enhance output quality through prompt engineering and iterative refinement methods.
Course Format
Expert-led demonstrations accompanied by detailed explanations.
Practical exercises centered on workflow architecture and multimodal tasks.
Interactive experimentation within AI Studio or Vertex AI environments.
Customization Options
Should your organization require customized workflow scenarios or data integration examples, please reach out to us to tailor the training accordingly.
Vertex AI delivers enterprise-grade tools designed to manage the entire machine learning lifecycle, ensuring robust observability, compliance, and operational excellence. By leveraging features such as real-time monitoring, strict data residency controls, data grounding, and integrated Gen AI evaluation, Vertex AI is engineered to satisfy the rigorous demands of production-level AI systems.
This instructor-led training session, available either online or onsite, targets intermediate to advanced professionals seeking to deploy, monitor, and govern Vertex AI models within enterprise contexts.
Upon completion of this training, participants will be equipped to:
Establish MLOps pipelines using Vertex AI.
Monitor and gain real-time insights into model performance.
Utilize grounding techniques and evaluation tools for Gen AI models.
Implement robust compliance and governance strategies, including data residency controls.
Course Format
Interactive lectures and discussions.
Practical labs utilizing enterprise-grade Vertex AI tools.
Analysis of case studies and compliance-driven scenarios.
Customization Options
For requests regarding tailored training for this course, please contact us to make arrangements.
This instructor-led, live training in Sofia (online or onsite) is designed for intermediate-level public sector professionals who want to use Gemini to generate high-quality content, support 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.
Vertex AI offers robust tools for constructing multimodal LLM workflows that seamlessly combine text, audio, and visual data into a unified pipeline. Supported by long context window capabilities and Gemini API parameters, it facilitates the development of sophisticated applications focused on planning, reasoning, and cross-modal intelligence.
This guided, live training session (available online or on-site) is designed for intermediate to advanced professionals looking to design, build, and optimize multimodal AI workflows within Vertex AI.
Upon completion of this training, participants will be equipped to:
Utilize Gemini models to handle multimodal inputs and outputs.
Establish long-context workflows tailored for complex reasoning tasks.
Architect pipelines that integrate the analysis of text, audio, and images.
Fine-tune Gemini API parameters to enhance performance and cost-effectiveness.
Course Format
Engaging lectures paired with interactive discussions.
Practical labs focusing on multimodal workflows.
Project-based exercises applying multimodal use cases.
Customization Options
For requests regarding customized training for this course, please reach out to us to make arrangements.
Google Gemini AI is a state-of-the-art large language model that delivers advanced AI functionalities, including natural language comprehension, text generation, and multimodal processing. These capabilities empower developers to create intelligent applications that are context-aware.
This instructor-led live training session, available either online or onsite, is designed for beginner to intermediate developers looking to apply AI principles practically. Through hands-on projects, real-world scenarios, and collaborative exercises, participants will gain experience with Google Gemini AI.
Upon completing this training, participants will be equipped to:
Effectively configure and utilize Google Gemini AI along with its associated tools.
Build AI-powered applications that process both text and image inputs.
Utilize NotebookLM to streamline practical AI workflows and enhance document-based reasoning.
Work within small teams to design and implement functional AI prototypes.
Course Delivery Format
Interactive lectures combined with guided discussions.
Practical lab exercises and collaborative team projects.
Applied assignments utilizing Google Gemini AI and NotebookLM.
Customization Opportunities
For organizations seeking a tailored training solution, please reach out to us to arrange specific requirements.
Google AI Studio serves as a platform for constructing, evaluating, and deploying AI-driven applications and workflows.
This instructor-led training, available online or on-site, targets intermediate professionals looking to streamline and optimize their AI workflows using Google AI Studio.
Upon completing this training, participants will acquire the ability to:
Design efficient AI workflows leveraging Google AI Studio.
Integrate models and APIs into automated pipelines.
Optimize practices for performance, testing, and monitoring.
Implement best practices for secure and scalable AI operations.
Course Format
Guided presentations complemented by practical demonstrations.
Scenario-based practice and real-world exercises.
Hands-on workflow design and configuration within a lab environment.
Course Customization Options
To adapt this course to specific tools, workflows, or use cases, please contact us for custom training options.
Vertex AI Agent Builder provides a no-code/low-code environment for constructing grounded agents that merge generative models with Retrieval-Augmented Generation (RAG). This approach enables teams to swiftly develop agents that leverage enterprise data and search capabilities to deliver accurate, context-aware responses.
This instructor-led live training, available online or on-site, is designed for intermediate-level professionals looking to design, configure, and deploy smart agents utilizing Vertex AI Agent Builder and RAG frameworks.
Upon completion of this training, participants will be able to:
Design grounded agent workflows using Agent Builder.
Implement RAG pipelines utilizing search and vector stores.
Securely integrate enterprise data sources for retrieval.
Evaluate and refine agent behavior through testing and metrics.
Course Format
Interactive lectures and discussions.
Hands-on labs focusing on Vertex AI Agent Builder and RAG components.
Project-based exercises to construct and refine agents.
Customization Options
To request a customized training session for this course, please contact us to arrange.
Vertex AI offers sophisticated tools for fine-tuning large language 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 seeking to improve the performance and reliability of generative AI applications using supervised fine-tuning, prompt versioning, and evaluation services within Vertex AI.
Upon completing this training, participants will be capable of:
Applying supervised fine-tuning techniques to Gemini models in Vertex AI.
Implementing prompt management workflows that include versioning and testing.
Leveraging evaluation libraries to benchmark and optimize AI performance.
Deploying and monitoring 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 demonstrating enterprise model optimization.
Customization Options
To request customized training for this course, please contact us to arrange.
This instructor-led, live training in Sofia (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 Sofia (online or onsite) is designed for intermediate-level IT managers, business application developers, and system integrators seeking to incorporate Google AI Studio’s capabilities into their business applications.
Upon completion of this course, participants will be able to:
Grasp the core features and functionalities of Google AI Studio relevant to business integration.
Discover how to link AI Studio with business applications through APIs.
Adapt AI models to meet specific business requirements.
Establish workflows that embed AI predictions into business processes.
Roll out AI-powered insights and automation across enterprise applications.
Resolve issues and fine-tune integrations to ensure scalability and efficiency.
This instructor-led, live training in Sofia (online or onsite) is designed for intermediate-level content creators seeking to use Google Gemini AI to improve the quality and efficiency of their content.
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 serves as a comprehensive platform for generative media, featuring powerful models such as Veo for video production, Imagen for image generation, Chirp for speech synthesis, and Lyria for music creation. These tools facilitate the development of robust, production-ready workflows tailored for creative, marketing, and enterprise applications.
This instructor-led live training, available both online and onsite, is designed for intermediate to advanced professionals looking to leverage generative AI for the creation and deployment of multimedia content using Vertex AI.
Upon completing this course, participants will be equipped to:
Produce images, videos, audio, and music utilizing Vertex AI’s diverse model portfolio.
Seamlessly integrate generative media tools into marketing and product development processes.
Refine prompts and fine-tune outputs to ensure high quality and alignment with brand identity.
Deploy scalable, production-ready 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 laboratories.
Customization Options
To arrange a tailored training session for this course, please contact us directly.
This instructor-led live training in Sofia (online or onsite) targets advanced-level AI developers, machine learning engineers, and data scientists who wish to employ Google AI Studio to develop, optimize, and deploy cutting-edge AI solutions.
By the conclusion 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 Sofia (online or onsite) targets intermediate-level participants interested in exploring workflow automation with 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 Sofia (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.
Upon completion 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 Sofia (online or onsite) targets intermediate-level customer service professionals aiming to integrate Google Gemini AI into their operations.
Upon completion of this training, participants will be able to:
Grasp the impact of AI on customer service.
Configure Google Gemini AI to automate and personalize customer interactions.
Leverage text-to-text and image-to-text transformations to enhance 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 Sofia (online or on-site) is designed for beginner to intermediate developers looking to integrate AI functionalities into their applications using Google Gemini AI.
Upon completion of this training, participants will be able to:
Comprehend the core principles of large language models.
Configure and utilize Google Gemini AI for various AI tasks.
Execute text-to-text and image-to-text transformations.
Construct fundamental AI-driven applications.
Investigate advanced features and customization options within Google Gemini AI.
This instructor-led, live training in Sofia (online or onsite) targets beginner-level data analysts, business professionals, and product managers who want to learn the fundamentals of building and utilizing AI models with minimal coding via Google AI Studio.
Upon completion of this training, participants will be able to:
Grasp the core principles of AI and machine learning.
Navigate and leverage Google AI Studio's interface and tools effectively.
Develop AI models using pre-built templates and datasets.
Train and evaluate models through straightforward workflows.
Deploy AI models for practical, real-world applications.
This instructor-led live training, conducted in Sofia (either online or onsite), is designed for software engineers at beginner to intermediate levels, as well as anyone wishing 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.
This instructor-led live training, conducted in Sofia (online or onsite), targets beginner, intermediate, and advanced developers, cloud engineers, and technical product teams seeking to utilize Google Cloud generative AI tools to build and assess practical AI applications.
By the end of this course, participants will be able to comprehend Google Cloud's generative AI services, design prompts and workflows, develop simple applications using Vertex AI, and implement responsible AI practices.
This instructor-led live training in Sofia (available online or on-site) is designed for beginner, intermediate, and advanced developers and technical practitioners who intend to use Google Cloud to build AI agents that can automate tasks, utilize tools, and interact with business data.
By the end of this training, participants will be able to explain AI agent concepts, build agents with Vertex AI, connect agents to external tools and data, and deploy agents for business use cases.
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