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 designed for fast, efficient execution of AI workloads on device.

This instructor-led, live training session (available online or onsite) is tailored for intermediate-level practitioners looking to design and deploy AI-powered mobile applications using Nano Banana, eliminating the need for cloud infrastructure.

Upon completion of this programme, attendees will be able to:

• Deploy Nano Banana models directly onto mobile devices.
• Optimise AI workloads for enhanced 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 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.

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

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

Upon completion of the course, learners will be equipped to:

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

Course Format

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

Customisation Options

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

This instructor-led live training in Australia (online or onsite) is aimed at intermediate-level participants who wish to explore workflow automation with Google AI Studio, leveraging its tools to create, optimise, 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 optimise automated workflows for efficiency.

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

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

Upon completing this course, participants will be able to:

• Apply Deep-Think Mode to resolve intricate, multi-layered problems.
• Design reasoning pipelines that incorporate long-context analysis.
• Optimize prompts for iterative, multi-step reasoning tasks.
• Integrate Deep-Think capabilities into research or production workflows.

Course Format

• Expert-led presentations featuring real-world examples.
• Hands-on reasoning labs and structured exercises.
• Practical development using live experimentation environments.

Course Customisation Options

• Customised 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 organisation 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 via AI Mode.

This instructor-led live training (available online or onsite) is designed for beginners looking to use Gemini 3 to streamline research, planning, analysis, and daily knowledge tasks.

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

• Leverage Gemini 3 in AI Mode to speed up research and information discovery.
• Apply workflows assisted by Gemini to summarise content and draw out key insights.
• Seamlessly 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 live demonstrations.
• Structured hands-on exercises to build practical skills.
• Real-world applications using live search and productivity scenarios.

Customisation Options

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

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

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

• Grasp the core concepts of large language models.
• Configure and utilise Google Gemini AI for various AI tasks.
• Implement text-to-text and image-to-text transformations.
• Develop basic AI-driven applications.
• Explore advanced features and customisation options within Google Gemini AI.

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

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.
• Analyse data patterns and derive insights.
• Create compelling data visualizations.
• Communicate data-driven insights effectively.

This instructor-led, live training in Australia (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, optimise, 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 optimise AI models for performance and reliability.

This instructor-led, live training in Australia (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 Australia (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.

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 optimise 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.
• Optimise 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 customise the training.