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

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

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

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

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

Format of the Course also allows for the evaluation of participants.

• 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 designed for high-speed, efficient on-device AI execution.

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

Upon completing this program, attendees will be equipped to:

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

Course Format

• Instructor-led demonstrations coupled with collaborative discussion.
• Practical exercises centered on real-world use cases.
• Hands-on development and testing within a live mobile environment.

Customization Options

• For those requiring a customized version of this course, please reach out to discuss available options.

Nano Banana is a lightweight AI framework built to accelerate and compress models, enabling efficient deployment on devices and at the edge.

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

Upon completing this program, learners will be able to:

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

Course Format

• Instructor-led technical sessions and guided discussion.
• 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 France (online or onsite) targets intermediate-level participants who want to explore workflow automation via 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 operations, 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 integrate long-context analysis.
• Refine prompts for iterative, multi-step reasoning tasks.
• Embed Deep-Think capabilities into research or production environments.

Course Format

• Expert-led presentations featuring 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 organized 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 also allows for the evaluation of participants.

• 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 that boosts Google Search capabilities and workplace productivity via its AI Mode.

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

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

• Leverage 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 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 to build practical skills.
• Real-world applications using live search and productivity scenarios.

Customization Options

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

This instructor-led, live training in France (online or onsite) is designed for beginner to intermediate developers looking 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 utilize Google Gemini AI for various AI tasks.
• Implement text-to-text and image-to-text transformations.
• Construct basic AI-driven applications.
• Explore advanced features and customization options within Google Gemini AI.

This instructor-led, live training in France (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 France (online or onsite) is aimed at intermediate-level customer service professionals who wish to implement Google Gemini AI in their customer service operations.

Upon completing this training, participants will be capable of:

• Grasping the impact of AI on customer service.
• Configuring Google Gemini AI to automate and personalize customer interactions.
• Leveraging text-to-text and image-to-text transformations to enhance service efficiency.
• Developing AI-driven strategies for real-time customer feedback analysis.
• Exploring advanced features to create a seamless customer service experience.

This instructor-led, live training in France (online or onsite) is designed for beginner to intermediate data analysts and business professionals who want 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:

• Grasp the fundamentals of Google Gemini AI.
• Connect diverse 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 France (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 France (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:

• 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 in France (online or onsite) is tailored for intermediate-level IT managers, business application developers, and system integrators who aim to integrate Google AI Studio's capabilities with their business applications.

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

• Comprehend the key 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.
• Establish 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 also allows for the evaluation of participants.

• 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.