Google Cloud Digital Leader (CDL) – Certification Preparation Training Course

Google Antigravity serves as an agentic development environment tailored for creating autonomous agents that can plan, reason, code, and execute actions leveraging Gemini 3’s multimodal capabilities.

This instructor-led, live training (available online or onsite) targets advanced technical professionals aiming to design, build, and deploy autonomous agents using Gemini 3 and the Antigravity ecosystem.

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

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

Course Format

• Expert demonstrations paired with interactive discussions.
• Hands-on experimentation focused on autonomous agent development.
• Practical implementation utilizing 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.

Nano Banana is a specialized model designed for rapid, efficient on-device AI execution.

This instructor-led training (available online or onsite) is tailored for intermediate practitioners aiming to design and deploy AI-powered mobile applications using Nano Banana without depending on cloud infrastructure.

Upon completing this program, participants will be able to:

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

Course Format

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

Customization Options

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

Nano Banana is a lightweight AI framework engineered to accelerate and compress models, enabling efficient on-device and edge deployment.

This instructor-led, live training session, available either online or onsite, is designed for intermediate to advanced professionals seeking to optimize, compress, and deploy AI models in edge environments using Nano Banana.

Upon completion of the program, participants will be able to:

• Apply compression and quantization techniques to AI models.
• Enhance inference performance for edge devices.
• Convert and deploy models leveraging Nano Banana’s toolchain.
• Assess the trade-offs between accuracy, latency, and resource consumption.

Course Format

• Instructor-led technical sessions accompanied by guided discussions.
• Hands-on exercises based on real-world edge-AI scenarios.
• Practical implementation within a configured live environment.

Customization Options

• For tailored content or organization-specific adaptations, please contact us to arrange a customized version of this course.

This instructor-led live training in Argentina (online or onsite) is intended for 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.

Gemini 3 is a sophisticated multimodal AI system engineered to facilitate deep reasoning, high-context tasks, and comprehensive long-form analytical processes.

This live training, facilitated by an instructor and available either online or onsite, targets advanced professionals seeking to harness Deep-Think Mode for complex analysis, modeling, and strategic planning.

Upon completion of this course, participants will gain the ability to:

• Utilize Deep-Think Mode to address intricate, multi-layered challenges.
• Construct reasoning pipelines that integrate long-context analysis.
• Refine prompts for iterative, multi-step reasoning activities.
• Seamlessly 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

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

Gemini 3 is a multimodal AI model designed to reason across text, images, and structured inputs to support complex enterprise workflows.

This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to build reasoning-driven and multimodal workflows using Gemini 3 within enterprise environments.

After completing this course, participants will have the skills to:

• Apply Gemini 3’s reasoning capabilities to enterprise planning and decision workflows.
• Design multimodal processes incorporating text, images, documents, and tabular data.
• Develop business workflows using AI Studio and Vertex AI tools.
• Optimize outputs through prompt engineering and iterative refinement techniques.

Format of the Course

• Guided demonstrations supported by expert explanations.
• Practical exercises focused on workflow design and multimodal tasks.
• Hands-on experimentation in AI Studio or Vertex AI environments.

Course Customization Options

• If your organization requires tailored workflow scenarios or data integration examples, please contact us to adapt the training.

Gemini 3 is an AI-driven system designed to boost Google Search capabilities and enhance workplace productivity via AI Mode.

This instructor-led training, available either online or on-site, targets beginner-level users eager to utilize Gemini 3 to optimize research, planning, analysis, and everyday knowledge tasks.

By the end of this course, participants will acquire the competencies to:

• Leverage Gemini 3 in AI Mode to speed up research and information retrieval.
• Implement Gemini-supported workflows to summarize content and uncover key insights.
• Seamlessly integrate Gemini 3 functionalities into daily productivity routines.
• Adopt best practices for the ethical and reliable use of AI tools.

Course Format

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

Customization Options

• For training tailored to your specific workflows, please contact us to explore customization possibilities.

This instructor-led, live training in Argentina (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 completing this training, participants will be able to:

• Grasp the fundamentals of large language models.
• Set up and leverage Google Gemini AI for diverse AI tasks.
• Implement text-to-text and image-to-text transformations.
• Develop foundational AI-driven applications.
• Explore advanced features and customization options within Google Gemini AI.

This instructor-led, live training in Argentina (online or onsite) is designed for intermediate-level content creators who want to leverage Google Gemini AI to enhance both the quality and efficiency of their work.

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.

This instructor-led, live training in Argentina (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 Argentina (online or onsite) targets data analysts and business professionals at beginner to intermediate levels who aim to perform complex data analysis tasks more intuitively across different industries using Google Gemini AI.

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

• Grasping the core principles of Google Gemini AI.
• Linking diverse data sources to Gemini AI.
• Exploring data through natural language queries.
• Analyzing data patterns and extracting valuable insights.
• Designing engaging data visualizations.
• Effectively communicating data-driven insights.

This instructor-led live training in Argentina (online or onsite) is aimed at advanced-level AI developers, machine learning engineers, and data scientists who wish to use Google AI Studio to develop, optimize, and deploy cutting-edge AI solutions.

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

• Navigate the Google AI Studio interface and understand its key components.
• Prepare data for AI projects using Google AI Studio’s integrated tools.
• Train, evaluate, and fine-tune machine learning models using AutoML and custom training features.
• Deploy AI models as scalable, production-ready services.
• Integrate Google AI APIs into applications to extend AI capabilities.
• Leverage Explainable AI (XAI) tools for transparent and ethical AI practices.
• Monitor and optimize AI models for performance and reliability.

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

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

• Grasp the fundamental concepts of AI and machine learning.
• Navigate and make effective use of Google AI Studio's interface and tools.
• Develop AI models using pre-built templates and datasets.
• Train and assess models through intuitive, step-by-step workflows.
• Deploy AI models for practical, real-world applications.

This instructor-led live training in Argentina (online or onsite) is designed for intermediate-level IT managers, business application developers, and system integrators who aim to integrate Google AI Studio's capabilities into their business applications.

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

• Understand the essential features and capabilities of Google AI Studio for business integration.
• Explore and link 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.

Google AI Studio serves as a dedicated platform for constructing, evaluating, and launching AI-driven workflows and applications.

This instructor-led live training, available in online or onsite formats, targets intermediate-level professionals seeking to streamline and optimize their AI workflows using Google AI Studio.

Upon completing this training, participants will gain the ability to:

• Architect efficient AI workflows leveraging Google AI Studio.
• Seamlessly integrate models and APIs into automated pipelines.
• Enhance practices related to performance, testing, and monitoring.
• Implement best practices for secure and scalable AI operations.

Course Format

• Structured presentations complemented by practical demonstrations.
• Scenario-based exercises and real-world application tasks.
• Hands-on lab sessions for configuration and workflow design.

Course Customization Options

• To tailor this training to specific tools, workflows, or use cases, please reach out to us for customization details.