Google AI Training in Patras

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 high-efficiency model execution directly on Android devices.

This instructor-led live training, available both online and onsite, is tailored for beginner to intermediate Android developers aiming to embed optimized AI capabilities into mobile applications.

Upon completion of this training, participants will be equipped to:

• Integrate the Nano Banana SDK into Android Studio projects.
• Deploy real-time AI inference utilizing Nano Banana APIs.
• Enhance model performance within the constraints of mobile environments.
• Adhere to best practices for secure, privacy-centric on-device AI development.

Course Format

• Guided presentations paired with collaborative discussions.
• Practical coding exercises designed to reinforce core concepts.
• Hands-on implementation using real-world Android scenarios.

Customization Options

• For bespoke versions of this course, please contact us to arrange a tailored program.

Nano Banana is an on-device AI framework engineered to execute models locally while upholding strict privacy standards and regulatory compliance.

This instructor-led live training, available online or onsite, targets beginner to intermediate professionals looking to implement privacy-preserving AI capabilities on mobile devices for regulated or sensitive sectors using Nano Banana.

Upon completion of this training, participants will be able to:

• Develop mobile applications that process data privately on the device.
• Integrate Nano Banana to establish compliant AI workflows.
• Apply privacy-enhancing methods such as anonymization and secure processing.
• Assess and mitigate privacy risks during the mobile AI development lifecycle.

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.

Course Customization Options

• For organization-specific requirements or sector-specific compliance topics, please contact us to tailor 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 specialised model designed for rapid, efficient execution of AI tasks directly on devices.

This instructor-led live training session (available online or on-site) targets intermediate practitioners looking to design and deploy AI-driven mobile applications using Nano Banana, eliminating the need for cloud infrastructure.

Upon completion of this programme, participants will be able to:

• Deploy Nano Banana models directly onto mobile devices.
• Optimise AI workloads for peak performance and energy efficiency.
• Incorporate text and image generation capabilities into mobile applications.
• Troubleshoot, benchmark, and refine on-device inference pipelines.

Course Format

• Instructor-guided demonstrations coupled with collaborative discussion.
• Practical exercises centred on real-world scenarios.
• Hands-on development and testing within a live mobile environment.

Course Customisation Options

• For a bespoke version of this course, please contact us to discuss customisation possibilities.

Gemini 3 is an AI-driven system designed to boost productivity in Google Search and professional environments via its AI Mode.

This instructor-led live training, available online or onsite, targets beginner-level users aiming to harness Gemini 3 to streamline research, planning, analysis, and everyday knowledge tasks.

Throughout this course, participants will develop the skills to:

• Utilize Gemini 3 in AI Mode to accelerate research and information discovery.
• Implement Gemini-assisted workflows for summarizing content and extracting key insights.
• Integrate Gemini 3 features into routine productivity tasks.
• Adopt best practices for the responsible and reliable use of AI tools.

Course Format

• Instructor-guided presentations and demonstrations.
• Structured hands-on exercises to build practical skills.
• Real-world applications using live search and productivity scenarios.

Course Customization Options

• For tailored training adapted to your specific 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 a sophisticated multimodal AI system engineered to facilitate deep reasoning, manage high-context scenarios, and execute long-form analytical processes.

This instructor-led live training, available either online or onsite, targets advanced professionals aiming to utilise Deep-Think Mode for complex analysis, modelling, and strategic planning.

Upon completion of this course, participants will be able to:

• Apply Deep-Think Mode to resolve intricate, multi-layered challenges.
• Construct reasoning pipelines that leverage long-context analysis.
• Refine prompts for iterative, multi-step reasoning tasks.
• Integrate Deep-Think capabilities into research or production workflows.

Course Format

• Expert-led presentations supported by real-world examples.
• Practical reasoning labs and structured exercises.
• Applied development through live experimentation environments.

Customization Options

• Bespoke sessions or domain-specific deep-reasoning projects can be arranged upon request.

Gemini 3 is a multimodal AI platform designed to process and reason across images, video, audio, and text.

This instructor-led, live training session (available online or onsite) is designed for intermediate-level practitioners looking to design and build applications that leverage Gemini 3’s cross-modal intelligence.

Upon completing this workshop, participants will be able to:

• Integrate Gemini 3 multimodal endpoints into real-world workflows.
• Process and interpret visual, audio, video, and text inputs within unified pipelines.
• Develop interactive prototypes using multimodal prompts.
• Optimise multimodal outputs for performance, accuracy, and usability.

Course Format

• Guided lectures accompanied by demonstrations.
• Scenario-based exercises and hands-on practice.
• Practical implementation using live development environments.

Course Customisation Options

• For tailored content or custom project-based training, please contact us to arrange.

Google Antigravity serves as an agentic development environment tailored for creating autonomous agents that can plan, reason, code, and act by leveraging the multimodal capabilities of Gemini 3.

This instructor-led, live training (available online or onsite) is designed for advanced technical professionals who aim to design, build, and deploy autonomous agents using Gemini 3 within the Antigravity environment.

Upon completing this training, participants will be equipped to:

• Construct autonomous workflows that utilize Gemini 3 for reasoning, planning, and execution.
• Develop agents in Antigravity capable of analysing tasks, writing code, and interacting with tools.
• Integrate Gemini-driven agents with enterprise systems and APIs.
• Optimise agent behaviour, safety, and reliability within complex environments.

Course Format

• Expert demonstrations paired with interactive discussions.
• Hands-on experimentation focused on autonomous agent development.
• Practical implementation using Antigravity, Gemini 3, and supporting cloud tools.

Course Customisation Options

• If your team requires domain-specific agent behaviours or custom integrations, please contact us to tailor the programme.

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 aim to integrate Vertex AI Gemini capabilities into their applications using Firebase and related SDKs.

By the conclusion of this training, participants will be able to:

• Configure Firebase and SDKs for Vertex AI integration.
• Incorporate Gemini-powered features into mobile and web applications.
• 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.
• Practical labs involving 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 make arrangements.

Gemini 3 is a multimodal AI model engineered 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 for managing the entire machine learning lifecycle, focusing on observability, compliance, and operational excellence. Featuring real-time monitoring, data residency controls, grounding capabilities, and integrated Gen AI evaluation, Vertex AI is built to satisfy the rigorous demands of production-level AI systems.

This instructor-led training (available online or onsite) targets intermediate to advanced professionals seeking to deploy, monitor, and govern Vertex AI models within enterprise environments.

Upon completing this training, participants will be able to:

• Establish MLOps pipelines using Vertex AI.
• Monitor and observe models with real-time insights.
• Apply grounding techniques and evaluation tools for Gen AI models.
• Implement compliance and governance strategies, including data residency controls.

Course Format

• Interactive lectures and discussions.
• Hands-on labs utilizing enterprise-grade Vertex AI tools.
• Case studies and compliance-driven scenarios.

Customization Options

• To request customized training for this course, please contact us to arrange.

This instructor-led, live training in Patras (online or onsite) is designed for public sector professionals with intermediate skills who wish to utilize Gemini to generate high-quality content, support research, and boost productivity through advanced AI interactions.

By the end of this training, participants will be able to:

• Design precise and customized prompts tailored to specific scenarios.
• Produce original and innovative content using Gemini.
• Accurately summarize and compare intricate information.
• Utilize Gemini efficiently for brainstorming, planning, and structuring ideas.

Vertex AI offers robust tools for constructing multimodal LLM workflows, seamlessly integrating text, audio, and image data into a unified pipeline. With support for long context windows and Gemini API parameters, it facilitates advanced applications in planning, reasoning, and cross-modal intelligence.

This instructor-led, live training (available online or onsite) is designed for intermediate to advanced practitioners aiming to design, build, and optimize multimodal AI workflows within Vertex AI.

Upon completion of this training, participants will be able to:

• Utilize Gemini models for handling multimodal inputs and outputs.
• Implement long-context workflows to facilitate complex reasoning.
• Design pipelines that effectively integrate text, audio, and image analysis.
• Optimize Gemini API parameters for improved performance and cost efficiency.

Course Format

• Interactive lectures and discussions.
• Practical labs focused on multimodal workflows.
• Project-based exercises targeting applied multimodal use cases.

Customization Options

• To request customized training for this course, please contact 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 creation, and multimodal processing. This empowers developers to create intelligent, context-aware applications.

This instructor-led live training (available online or onsite) is designed for beginner to intermediate developers who want to apply AI concepts practically using Google Gemini AI. The course focuses on hands-on projects, real-world examples, and collaborative exercises.

Upon completing this training, participants will be able to:

• Effectively set up and utilize Google Gemini AI and associated tools.
• Create AI-driven applications using both text and image inputs.
• Utilize NotebookLM for practical AI workflows and document-based reasoning.
• Work in small groups to design and deploy functional AI prototypes.

Course Format

• Interactive lectures and guided discussions.
• Hands-on lab exercises and collaborative projects.
• Practical assignments involving Google Gemini AI and NotebookLM.

Customization Options

• For customized training inquiries, please contact us to arrange.

Google AI Studio is a platform designed for building, testing, and deploying AI-driven workflows and applications.

This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to streamline and optimize AI workflows using Google AI Studio.

Upon completion of this training, participants will have the skills to:

• Design efficient AI workflows using Google AI Studio.
• Integrate models and APIs into automated pipelines.
• Optimize performance, testing, and monitoring practices.
• Apply best practices for secure and scalable AI operations.

Format of the Course

• 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 serves as a no-code or low-code platform for constructing grounded agents that merge generative models with Retrieval-Augmented Generation (RAG). This enables teams to quickly develop agents that leverage enterprise data and search capabilities to deliver precise, context-aware responses.

This instructor-led live training, available online or onsite, targets intermediate practitioners looking to design, configure, and deploy intelligent agents using Vertex AI Agent Builder and RAG architectures.

Upon completion of this training, participants will be able to:

• Design grounded agent workflows utilizing Agent Builder.
• Build RAG pipelines incorporating search and vector storage solutions.
• Securely integrate enterprise data sources for effective retrieval.
• Evaluate and refine agent performance through testing and key metrics.

Course Format

• Interactive lectures and discussions.
• Practical labs focused on Vertex AI Agent Builder and RAG components.
• Project-based assignments to construct and optimize agents.

Customization Options

• To arrange customized training for this course, please get in touch with us.

Vertex AI offers sophisticated tools for fine-tuning large models and managing prompts, empowering developers and data teams to enhance model accuracy, streamline iterative workflows, and uphold rigorous evaluation standards through built-in libraries and services.

This instructor-led live training (available online or onsite) targets intermediate to advanced practitioners seeking to boost the performance and reliability of generative AI applications using supervised fine-tuning, prompt versioning, and evaluation services within Vertex AI.

By the conclusion 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 Greece (online or onsite) is designed for data analysts and business professionals at beginner to intermediate levels who wish to execute complex data analysis tasks more intuitively across various industries using Google Gemini AI.

By the conclusion of this training, participants will be able to:

• Understand the fundamentals of Google Gemini AI.
• Connect various data sources to Gemini AI.
• Explore data using natural language queries.
• Analyze data patterns and derive insights.
• Create compelling data visualizations.
• Communicate data-driven insights effectively.

This instructor-led live training in Patras (online or onsite) targets intermediate-level IT managers, business application developers, and system integrators who wish to incorporate Google AI Studio's capabilities into their business applications.

By the end of this training, participants will be able to:

• Understand the core 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 Patras (online or onsite) is designed for intermediate content creators seeking to employ Google Gemini AI to boost content quality and efficiency.

By the end of this training, participants will be able to:

• Comprehend the function of AI within content creation.
• Configure and utilise Google Gemini AI to generate and refine content.
• Execute text-to-text transformations to create distinctive and original material.
• Deploy SEO strategies informed by AI-generated insights.
• Evaluate content performance and adjust strategies using Gemini AI.

Vertex AI offers a comprehensive platform for generative media, featuring specialized models such as Veo for video, 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 professionals at intermediate to advanced levels who aim to leverage generative AI for the creation and deployment of multimedia content via Vertex AI.

Upon completing this training, participants will be equipped to:

• Create images, videos, audio, and music utilizing the Vertex AI 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, production-ready generative media solutions within enterprise environments.

Course Format

• Interactive lectures and group discussions.
• Practical exercises involving Vertex AI generative media models.
• Analysis of real-world case studies and participation in creative project labs.

Customization Options

• To request tailored training for this course, please reach out to us to make arrangements.

This instructor-led, live training in Patras (online or on-site) 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 guided, live training in Patras (online or onsite) is designed for intermediate learners eager to delve into workflow automation using Google AI Studio. Participants will leverage its comprehensive suite of tools to build, refine, and oversee highly efficient automated processes.

Upon completion of this training, attendees will be equipped to:

• Grasp the fundamental capabilities of Google AI Studio specifically for automating workflows.
• Configure and connect Google AI Studio with various external applications.
• Architect and run workflows driven by artificial intelligence.
• Deploy conditional logic to enable more intelligent automation.
• Track and enhance the performance of automated workflows to boost efficiency.

This instructor-led, live training in Patras (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 Patras (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 Patras (online or onsite) is designed for beginner to intermediate-level developers who want to integrate AI functionalities into their applications using Google Gemini AI.

Upon completion 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 Patras (online or onsite) targets beginner-level data analysts, business professionals, and product managers who wish to learn the basics of building and utilizing AI models with minimal coding using Google AI Studio.

Upon completing this training, participants will be able to:

• Grasp the core principles of AI and machine learning.
• Navigate and leverage the interface and tools within Google AI Studio.
• Develop AI models using pre-built templates and datasets.
• Train and assess models using straightforward workflows.
• Deploy AI models for practical, real-world applications.

This instructor-led live training, held in Patras (online or on-site), is designed for beginner to intermediate-level software engineers and anyone wishing to learn how to leverage Vertex AI for performing and completing machine learning activities.

By the conclusion of this training, participants will be able to:

• Comprehend the workings of Vertex AI and effectively use it as a machine learning platform.
• Understand key concepts related to machine learning and NLP.
• Know how to train and deploy machine learning models using Vertex AI.

This instructor-led, live training in Patras (online or onsite) targets 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 live, instructor-led training in Patras (online or onsite) is designed for beginner to advanced developers and technical practitioners who want to use Google Cloud to build AI agents capable of automating tasks, utilizing tools, and working with 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.