Google AI Training in Braga

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 engineered for efficient on-device model execution within the Android ecosystem.

This instructor-led live training, available either online or onsite, targets beginner to intermediate Android developers seeking to integrate optimized AI capabilities directly into their mobile applications.

Upon completing this course, participants will be equipped 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 optimised for high-speed, efficient on-device AI execution.

This instructor-led, live training (available online or onsite) is designed for intermediate practitioners who wish to design and deploy AI-powered mobile applications using Nano Banana, entirely without relying on cloud infrastructure.

Upon completing this programme, attendees will be able to:

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

Course Format

• Instructor-guided demonstrations alongside collaborative discussion.
• Practical exercises focused on real-world use cases.
• Hands-on development and testing within a live mobile environment.

Course Customisation Options

• If you require a tailored version of this course, please contact us to discuss customisation options.

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

This instructor-led, live training (available online or onsite) targets beginner-level users looking to streamline their research, planning, analysis, and daily knowledge tasks using Gemini 3.

During this training, participants will develop the necessary 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 functionalities into everyday productivity routines.
• Adopt best practices for the responsible and reliable use of AI tools.

Course Format

• Instructor-guided presentations and live demonstrations.
• Structured hands-on exercises designed 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 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, high-context tasks, and extensive analytical workflows.

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

Upon completing this course, participants will be capable of:

• Utilizing Deep-Think Mode to resolve intricate, multi-layered challenges.
• Constructing reasoning pipelines that leverage long-context analysis.
• Optimizing prompts for iterative, multi-step reasoning tasks.
• Integrating Deep-Think capabilities into research or production environments.

Course Format

• Expert-led presentations supported by practical examples.
• Hands-on reasoning laboratories and structured exercises.
• Practical development through live experimentation environments.

Customization Options

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

Gemini 3 is a versatile multimodal AI platform designed to process and reason across diverse data types, including images, video, audio, and text.

This instructor-led live training, available both online and onsite, targets intermediate-level practitioners looking to design and develop applications that leverage Gemini 3’s cross-modal intelligence.

Upon completing this workshop, participants will be equipped to:

• Seamlessly 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 prompting techniques.
• Optimize multimodal outputs to enhance performance, accuracy, and usability.

Course Format

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

Customization 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 leveraging the multimodal capabilities of Gemini 3.

This live, instructor-led training (available online or onsite) targets advanced technical professionals aiming 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 utilising 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.
• Enhance agent behaviour, safety, and reliability within complex environments.

Course Format

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

Course Customization Options

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

Vertex AI offers streamlined integration pathways for embedding Gemini models directly into mobile and web applications through Firebase and associated SDKs. This capability empowers developers and product teams to deliver AI-driven features at the application level, including intelligent assistants, multimodal input processing, and personalized user experiences.

This instructor-led, live training (available online or onsite) is designed for beginner to intermediate practitioners who aim to integrate Vertex AI Gemini capabilities into their applications using Firebase and related SDKs.

Upon completing this training, participants will be able to:

• Configure Firebase and SDKs for Vertex AI integration.
• Integrate Gemini-powered functionalities into mobile and web applications.
• Process multimodal inputs, such as text, images, and audio, within client applications.
• Deploy and monitor AI-driven features in production environments.

Course Format

• Interactive lectures and discussions.
• Practical labs utilizing Firebase and Vertex AI SDKs.
• Project-based exercises focused on implementing app-level AI features.

Course Customization Options

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

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.

Upon completion of this course, participants will have acquired 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 tools designed to manage the entire machine learning lifecycle, encompassing 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 live training (available online or onsite) targets intermediate to advanced professionals looking to deploy, monitor, and govern Vertex AI models within enterprise settings.

Upon completion of 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.

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 Braga (online or onsite) is tailored for intermediate-level public sector professionals who want to use Gemini to generate high-quality content, support research efforts, and improve productivity via advanced AI interactions.

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

• Design more effective and customized prompts for specific applications.
• Create original and creative content using Gemini.
• Accurately summarize and compare complex information.
• Utilize Gemini for efficient brainstorming, planning, and idea organization.

Google Gemini AI is an innovative large language model that provides sophisticated AI functionalities, including natural language comprehension, text creation, and multimodal processing, empowering developers to construct smart and context-sensitive applications.

This instructor-led live training (available online or at your location) targets beginner to intermediate developers eager to apply AI principles using Google Gemini AI through practical projects, real-life examples, and collaborative activities.

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

• Configure and utilize Google Gemini AI and associated tools proficiently.
• Create AI-powered applications handling text and image inputs.
• Utilize NotebookLM for practical AI workflows and document-based reasoning.
• Work within small teams to design and deploy functional AI prototypes.

Course Structure

• Interactive lectures and guided discussions.
• Practical lab exercises and team projects.
• Practical tasks involving Google Gemini AI and NotebookLM.

Customization Opportunities

• To arrange a tailored version of this course, please get in touch with us.

Vertex AI Agent Builder offers a no-code or low-code environment 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-sensitive responses.

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

Upon completion of this training, participants will be capable of:

• Designing grounded agent workflows via Agent Builder.
• Implementing RAG pipelines utilizing search and vector stores.
• Securely integrating enterprise data sources for retrieval purposes.
• Evaluating and refining agent behavior through testing and performance metrics.

Course Format

• Interactive lectures and discussions.
• Practical labs involving Vertex AI Agent Builder and RAG components.
• Project-based exercises focused on building and refining agents.

Customization Options

• To request customized training for this course, please get in touch to arrange it.

Vertex AI equips developers and data teams with sophisticated tools for fine-tuning large language models and managing prompts. These capabilities allow teams to enhance model accuracy, streamline iterative workflows, and maintain rigorous evaluation standards through integrated libraries and services.

This instructor-led live training, available either online or onsite, is designed for intermediate to advanced practitioners aiming to boost the performance and reliability of generative AI applications. The course covers supervised fine-tuning, prompt versioning, and evaluation services within the Vertex AI environment.

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

• Apply supervised fine-tuning techniques to Gemini models in Vertex AI.
• Implement effective prompt management workflows, including version control and testing.
• Utilize evaluation libraries to benchmark and optimize AI performance.
• Deploy and monitor enhanced models in production environments.

Format of the Course

• Interactive lectures and discussions.
• Practical labs involving Vertex AI fine-tuning and prompt tools.
• Case studies focusing on enterprise model optimization.

Course Customization Options

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

This instructor-led, live training in Braga (online or onsite) is designed for beginner to intermediate-level data analysts and business professionals who want to perform complex data analysis tasks more intuitively across various industries using Google Gemini AI.

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

• 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 Braga (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 Braga (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 offers a consolidated platform for generative media, featuring models such as Veo for video production, Imagen for image generation, Chirp for speech processing, and Lyria for music creation. These tools facilitate production-ready workflows tailored for creative, marketing, and enterprise applications.

This instructor-led training session, available either online or onsite, is designed for intermediate to advanced professionals seeking to leverage generative AI for the creation and deployment of multimedia content using Vertex AI.

Upon completing this training, participants will be equipped to:

• Generate images, videos, audio, and music utilizing Vertex AI’s comprehensive suite of models.
• Seamlessly integrate generative media into marketing and product development workflows.
• Refine prompts and fine-tune outputs to ensure high quality and alignment with brand guidelines.
• Deploy robust, production-ready generative media solutions within enterprise environments.

Course Format

• Interactive lectures and discussions.
• Practical exercises involving Vertex AI’s generative media models.
• Real-world case studies and creative project labs.

Customization Options

• To request a customized version of this course, please reach out to us to arrange details.

This instructor-led live training in Braga (online or onsite) is designed for 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 Braga (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 Braga (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 Braga (online or onsite) is designed for intermediate-level customer service professionals who wish to implement Google Gemini AI within their customer service operations.

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

• Comprehend the influence of AI on customer service.
• Configure Google Gemini AI to automate and personalise customer interactions.
• Apply text-to-text and image-to-text conversions to boost service efficiency.
• Create AI-led strategies for analysing customer feedback in real time.
• Investigate advanced features to deliver a seamless customer service experience.

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

Upon completion of this training, participants will be capable of:

• Grasping the core principles of large language models.
• Configuring and utilizing Google Gemini AI for a range of AI tasks.
• Executing text-to-text and image-to-text conversions.
• Developing foundational AI-driven applications.
• Investigating advanced features and customization options within Google Gemini AI.

This instructor-led, live training in Braga (online or onsite) targets beginner-level data analysts, business professionals, and product managers seeking to learn the fundamentals of building and leveraging AI models with minimal coding through Google AI Studio.

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

• Grasp the core principles of AI and machine learning.
• Navigate and effectively use Google AI Studio's interface and tools.
• 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 in Braga (online or onsite) is designed for beginner to intermediate-level software engineers, as well as anyone keen on learning how to use Vertex AI for machine learning activities.

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

• Understand how Vertex AI operates and employ 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 in Braga (online or onsite) is aimed at beginner, intermediate, and advanced developers and technical practitioners who wish 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 using Vertex AI, connect agents to external tools and data, and deploy agents for business use cases.