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 engineered for rapid and efficient on-device AI execution.

This instructor-led, live training session (available online or in-person) targets intermediate-level practitioners looking to design and deploy AI-powered mobile applications using Nano Banana, independent of cloud infrastructure.

Upon completing this program, participants will be able to:

• Deploy Nano Banana models directly onto mobile devices.
• Optimize AI workloads for peak performance and energy efficiency.
• Integrate 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 focused on real-world use cases.
• Hands-on development and testing within a live mobile environment.

Course Customization Options

• For a customized version of this course, please contact us to discuss your specific needs.

Nano Banana is a lightweight AI framework engineered to accelerate and compress models, facilitating efficient deployment on devices and edge infrastructure.

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

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

• Implement compression and quantization methodologies for AI models.
• Enhance inference performance on edge devices.
• Convert and deploy models leveraging Nano Banana’s toolchain.
• Assess the trade-offs regarding accuracy, latency, and resource consumption.

Course Format

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

Customization Options

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

This instructor-led live training, conducted in Czech Republic (via online or onsite methods), targets intermediate-level participants eager to explore workflow automation through Google AI Studio. The curriculum emphasizes leveraging the platform's tools to build, refine, and manage highly efficient automated processes.

By the end of the course, attendees will be able to:

• Comprehend the key features of Google AI Studio utilized for workflow automation.
• Establish and integrate Google AI Studio with external tools.
• Construct and execute AI-driven workflows.
• Deploy conditional logic to enhance automation intelligence.
• Oversee and improve the performance of automated workflows.

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

This instructor-led live training (available online or 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 incorporate long-context analysis.
• Refine prompts for iterative, multi-step reasoning tasks.
• Seamlessly integrate Deep-Think capabilities into research or production environments.

Course Format

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

Customization Options

• Customized 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 productivity in Google Search and professional environments via its AI Mode feature.

This instructor-led training, available both online and onsite, is tailored for beginner-level users seeking to harness Gemini 3 to streamline research, planning, analysis, and everyday knowledge tasks.

By the end of this training, participants will acquire the skills to:

• Utilize Gemini 3 in AI Mode to speed up research and information retrieval.
• Implement Gemini-assisted workflows for summarizing content and extracting key insights.
• Seamlessly integrate Gemini 3 capabilities into daily productivity routines.
• Adopt best practices for the responsible and reliable use of AI tools.

Course Format

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

Customization Options

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

This instructor-led, live training in Czech Republic (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:

• Grasp the fundamentals of large language models.
• Set up and utilize Google Gemini AI for a variety of 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 Czech Republic (online or onsite) is designed for intermediate-level content creators who aim to use Google Gemini AI to boost their content quality and operational efficiency.

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

• Grasp the significance of AI in the content creation landscape.
• Configure and utilize Google Gemini AI to generate and refine content.
• Employ text-to-text transformations to craft original and creative material.
• Deploy SEO strategies informed by AI-driven data.
• Evaluate content performance and adjust strategies using Gemini AI.

This instructor-led, live training in Czech Republic (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 Czech Republic (online or on-site) targets beginner to intermediate data analysts and business professionals who wish to perform complex data analysis tasks more intuitively across various industries using Google Gemini AI.

Upon completing this training, participants will be able to:

• Grasp the fundamentals of Google Gemini AI.
• Connect diverse data sources to Gemini AI.
• Explore data using natural language queries.
• Analyze data patterns and extract insights.
• Create engaging data visualizations.
• Effectively communicate data-driven insights.

This instructor-led, live training in Czech Republic (online or onsite) 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 instructor-led, live training in Czech Republic (online or onsite) targets 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.

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

• Understand the fundamentals of AI and machine learning concepts.
• Navigate and utilize Google AI Studio's interface and tools.
• Create AI models using pre-built templates and datasets.
• Train and evaluate models with easy-to-follow workflows.
• Deploy AI models for real-world applications.

This instructor-led live training, offered in Czech Republic (online or onsite), targets intermediate-level IT managers, business application developers, and system integrators seeking to merge Google AI Studio's capabilities with their business applications.

By the conclusion 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 serves as a comprehensive platform for constructing, evaluating, and implementing AI-powered workflows and applications. <\/p>

This instructor-led training session, available online or on-site, is tailored for intermediate professionals seeking to streamline and refine their AI workflows using Google AI Studio. <\/p>

After completing this course, participants will be equipped with the following competencies: <\/p>

• Construct efficient AI workflows utilizing Google AI Studio. <\/li>
• Embed models and APIs into automated pipelines. <\/li>
• Refine practices related to performance, testing, and monitoring. <\/li>
• Implement best practices for secure and scalable AI operations. <\/li> <\/ul>

  Course Format <\/p>

  • Guided presentations accompanied by practical demonstrations. <\/li>
  • Scenario-based practice and real-world exercises. <\/li>
  • Hands-on configuration and workflow design within a lab environment. <\/li> <\/ul>

    Customization Options <\/p>

    • To adapt this course to specific tools, workflows, or use cases, please reach out to us to arrange customization. <\/li> <\/ul>