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

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.

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.

Format of the Course

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

Course 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 online or onsite) targets intermediate to advanced professionals seeking to optimize, compress, and deploy AI models for edge environments utilizing Nano Banana.

Upon completing the program, learners will be equipped to:

• Implement compression and quantization techniques on AI models.
• Enhance inference performance for edge devices.
• Convert and deploy models using the Nano Banana toolchain.
• Assess the trade-offs between accuracy, latency, and resource consumption.

Course Format

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

Course 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 Taiwan (online or onsite) is designed for intermediate-level participants interested in exploring workflow automation via Google AI Studio. The course utilizes its tools to help learners create, optimize, and manage efficient automated processes.

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

• Grasp the core features of Google AI Studio specifically for workflow automation.
• Configure and integrate Google AI Studio with other existing tools.
• Design and execute AI-driven workflows effectively.
• Implement conditional logic to achieve smarter automation.
• Monitor and optimize automated workflows to enhance efficiency.

Gemini 3 is a sophisticated multimodal AI system engineered to facilitate deep reasoning, high-context operations, and extensive analytical workflows.

This instructor-led live training, available both online and onsite, targets advanced professionals seeking to harness 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 leverage long-context analysis.
• Fine-tune prompts for iterative, multi-step reasoning tasks.
• Seamlessly integrate Deep-Think capabilities into research or production environments.

Course Format

• Expert-led sessions featuring real-world examples.
• Practical reasoning labs and structured exercises.
• Hands-on development using 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 engineered to reason across text, images, and structured inputs, enabling support for complex enterprise workflows.

This instructor-led, live training session (available online or onsite) targets intermediate-level professionals eager to construct reasoning-driven and multimodal workflows using Gemini 3 within enterprise environments.

Upon completing this course, participants will acquire the skills to:

• Leverage Gemini 3's reasoning capabilities for enterprise planning and decision-making workflows.
• Design multimodal processes that integrate text, images, documents, and tabular data.
• Develop business workflows utilizing AI Studio and Vertex AI tools.
• Optimize outputs through prompt engineering and iterative refinement techniques.

Format of the Course

• Guided demonstrations accompanied by expert explanations.
• Practical exercises centered on workflow design and multimodal tasks.
• Hands-on experimentation within 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 that boosts Google Search capabilities and workplace efficiency through its AI Mode.

This instructor-led, live training session (available online or onsite) is designed for beginner-level users aiming to utilize Gemini 3 to streamline research, planning, analysis, and daily knowledge work.

Throughout this training, participants will acquire the skills necessary to:

• Utilize Gemini 3 in AI Mode to expedite research and information discovery.
• Implement Gemini-assisted workflows to summarize content and derive insights.
• Integrate Gemini 3 features into everyday 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 designed for practical skill development.
• Real-world applications using live search and productivity scenarios.

Course Customization Options

• For customized training tailored to your specific workflows, please contact us to discuss available options.

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

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

• Understand 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.
• Build basic AI-driven applications.
• Explore advanced features and customization options in Google Gemini AI.

This instructor-led, live training in Taiwan (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.

This instructor-led, live training in Taiwan (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 Taiwan (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:

• 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 Taiwan (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 Taiwan (online or onsite) is aimed at beginner-level data analysts, business users, and product managers who wish to learn the basics of building and utilizing AI models with minimal coding using Google AI Studio.

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

• Grasp the fundamentals of AI and machine learning concepts.
• Navigate and utilize the interface and tools of Google AI Studio.
• Develop AI models using pre-built templates and datasets.
• Train and evaluate models through simple, easy-to-follow workflows.
• Deploy AI models for practical, real-world applications.

This instructor-led live training in Taiwan (online or onsite) is designed for 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.

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.