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

Google Antigravity serves as an agentic development environment engineered to construct autonomous agents capable of planning, reasoning, coding, and executing tasks via Gemini 3’s multimodal capabilities.

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

Upon completing this training, participants will be equipped to:

• Construct autonomous workflows leveraging Gemini 3 for reasoning, planning, and execution.
• Develop agents within Antigravity that can analyse tasks, generate code, and interact with various tools.
• Integrate Gemini-driven agents with enterprise systems and APIs.
• Optimise agent behaviour, safety, and reliability in complex environments.

Course Format

• Expert demonstrations combined with interactive discussions.
• Hands-on experimentation focused on autonomous agent development.
• Practical implementation using Antigravity, Gemini 3, and supporting cloud tools.

Course Customization Options

• If your team requires domain-specific agent behaviours or custom integrations, please contact us to tailor the program.

Nano Banana is a specialized model designed for fast and efficient on-device AI execution.

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

Upon completing this program, attendees should be able to:

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

Course Format

• 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 deployment on devices and edge infrastructure.

This instructor-led live 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 the program, participants will be able to:

• Implement compression and quantization techniques on AI models.
• Enhance inference performance for edge devices.
• Utilize Nano Banana’s toolchain to convert and deploy models.
• Assess trade-offs regarding accuracy, latency, and resource consumption.

Course Format

• Instructor-led technical sessions accompanied by guided discussions.
• Practical exercises based on real-world edge-AI scenarios.
• Hands-on 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 Kenya (online or onsite) is designed for intermediate-level learners keen on exploring workflow automation using Google AI Studio. The course focuses on leveraging its capabilities to build, optimize, and manage efficient automated processes. <\/p>

Upon completion of this training, participants will be equipped to: <\/p>

• Grasp the essential features of Google AI Studio for workflow automation. <\/li>
• Configure and integrate Google AI Studio with various external tools. <\/li>
• Design and run AI-driven workflows. <\/li>
• Apply conditional logic to enhance automation intelligence. <\/li>
• Monitor and fine-tune automated workflows to boost efficiency. <\/li> <\/ul>

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

This instructor-led training session, available online or onsite, targets advanced professionals seeking to harness Deep-Think Mode for complex analysis, modelling, and strategic planning.

Upon completion, participants will be able to:

• Utilise Deep-Think Mode to address intricate, multi-layered challenges.
• Construct reasoning pipelines that effectively incorporate long-context analysis.
• Optimise prompts for iterative, multi-step reasoning tasks.
• Seamlessly integrate Deep-Think capabilities into research or production environments.

Course Format

• Presentations by experts accompanied by real-world examples.
• Practical reasoning labs and structured exercises.
• Applied development using live experimentation environments.

Customization Options

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

Gemini 3 is a multimodal artificial intelligence model engineered to reason across text, images, and structured data, thereby supporting intricate enterprise workflows.

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

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

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

Course Format

• Guided demonstrations accompanied by expert insights.
• Practical exercises concentrated on workflow design and multimodal tasks.
• Hands-on experimentation within AI Studio or Vertex AI environments.

Course Customization Options

• Should your organization require customized workflow scenarios or data integration examples, please reach out to us to tailor the training accordingly.

Gemini 3 is an artificial intelligence-driven system designed to boost Google Search capabilities and workplace productivity through its AI Mode feature.

This instructor-led, live training (available online or onsite) targets beginner-level users who want to harness Gemini 3 to streamline research, planning, analysis, and daily knowledge work.

Through this training, participants will develop the skills to:

• Utilize Gemini 3 in AI Mode to speed up research and information discovery.
• Apply Gemini-assisted workflows to summarize content and extract key insights.
• Integrate Gemini 3 features into everyday productivity tasks.
• Adopt best practices for the responsible and reliable use of AI tools.

Format of the Course

• Instructor-guided presentations and demonstrations.
• Structured hands-on exercises for practical skill building.
• Real-world applications using live search and productivity scenarios.

Course Customization Options

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

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

By the conclusion of this training, participants will be capable of:

• Comprehending the basics of large language models.
• Setting up and leveraging Google Gemini AI for diverse AI tasks.
• Executing text-to-text and image-to-text transformations.
• Constructing basic AI-driven applications.
• Exploring advanced features and customization options in Google Gemini AI.

This live, instructor-led training in Kenya (available online or onsite) is designed for intermediate-level content creators who want to harness Google Gemini AI to improve their content quality and productivity.

Upon completion 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.
• Execute text-to-text transformations to craft unique and innovative content.
• Deploy SEO strategies informed by AI-generated insights.
• Evaluate content performance and refine strategies using Gemini AI capabilities.

This instructor-led, live training in Kenya (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 Kenya (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 Kenya (online or on-site) is designed for advanced AI developers, machine learning engineers, and data scientists who aim 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 Kenya (online or onsite) is tailored for beginner-level data analysts, business professionals, and product managers who want to grasp the essentials of building and leveraging AI models using Google AI Studio with minimal coding.

Upon completing this training, participants will be able to:

• Grasp the core principles of AI and machine learning.
• Navigate and effectively use the interface and tools within Google AI Studio.
• Develop AI models using pre-built templates and datasets.
• Train and assess models through straightforward workflows.
• Deploy AI models for practical, real-world applications.

This instructor-led, live training in Kenya (online or onsite) is designed for IT managers, business application developers, and system integrators at an intermediate level who wish to combine the capabilities of Google AI Studio 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 serves as a comprehensive platform for constructing, evaluating, and deploying AI-powered workflows and applications.

This instructor-led live training, available online or onsite, is designed for intermediate-level professionals aiming to streamline and optimize their AI workflows using Google AI Studio.

By the end of this training, participants will be equipped with the ability to:

• Create efficient AI workflows utilizing Google AI Studio.
• Seamlessly integrate models and APIs into automated pipelines.
• Enhance performance, testing, and monitoring procedures.
• Implement best practices for secure and scalable AI operations.

Course Format

• Guided presentations complemented by practical demonstrations.
• Scenario-based practice and real-world exercises.
• Hands-on configuration and workflow design within a lab environment.

Course Customization Options

• To tailor this course to specific tools, workflows, or use cases, please contact us to customize the training.