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

Google Antigravity serves as an agentic development environment tailored for constructing autonomous agents capable of planning, reasoning, coding, and executing tasks through Gemini 3's multimodal capabilities.

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

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

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

Course Format

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

Course Customization Options

• Should your team require domain-specific agent behaviours or custom integrations, please contact us to tailor the programme.

Nano Banana is a specialised model designed for rapid and efficient on-device AI execution.

This instructor-led, live training (available online or in-person) targets intermediate practitioners who aim to design and deploy AI-driven mobile applications using Nano Banana without depending on cloud infrastructure.

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

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

Course Format

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

Customisation Options

• Should you require a bespoke version of this course, please contact us to discuss customisation options.

Nano Banana is a lightweight AI framework designed to accelerate and compress models for efficient on-device and edge deployment.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level professionals who wish to optimise, compress, and deploy AI models for edge environments using Nano Banana.

At the conclusion of the program, learners will be able to:

• Apply compression and quantisation techniques to AI models.
• Accelerate inference performance for edge devices.
• Convert and deploy models using Nano Banana’s toolchain.
• Evaluate trade-offs between accuracy, latency, and resource usage.

Format of the Course

• Instructor-led technical sessions and guided discussion.
• Hands-on exercises using real-world edge-AI scenarios.
• Practical implementation using a configured live environment.

Course Customization Options

• For tailored content or organisation-specific adaptations, please reach out to arrange a customised version of this course.

This guided, live training in Botswana (online or in-person) targets participants with intermediate skills who wish to investigate workflow automation using Google AI Studio, utilising its capabilities to build, refine, and oversee efficient automated processes.

Upon completing this training, participants will be able to:

• Comprehend the fundamental features of Google AI Studio for workflow automation.
• Configure and link Google AI Studio with other applications.
• Architect and implement AI-driven workflows.
• Apply conditional logic for enhanced automation.
• Track and improve automated workflows for greater 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 either online or onsite, is tailored for advanced-level professionals looking to harness Deep-Think Mode for complex analysis, modelling, and strategic planning.

Upon completing this course, participants will be able to:

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

Course Format

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

Customisation Options

• Bespoke 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.
• Optimise 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 Google Search capabilities and workplace productivity via its AI Mode feature.

This instructor-led training, available online or on-site, targets beginner-level users looking to use Gemini 3 to streamline research, planning, analysis, and daily knowledge tasks.

Throughout this course, participants will acquire the skills required to:

• Utilize Gemini 3 in AI Mode to speed up research and information discovery.
• Implement Gemini-assisted workflows to summarise content and extract 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 demonstrations.
• Structured hands-on exercises for practical skill development.
• Real-world applications using live search and productivity scenarios.

Course Customization Options

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

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

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

• Comprehend the fundamentals of large language models.
• Set up and use 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 Botswana (online or onsite) targets intermediate-level content creators seeking to harness Google Gemini AI to boost content quality and operational 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 Botswana (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 Botswana (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, conducted Botswana (online or onsite), is tailored for advanced-level AI developers, machine learning engineers, and data scientists who wish to employ Google AI Studio to create, optimize, and deploy cutting-edge AI solutions.

By the conclusion 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 Botswana (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.

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 Botswana (online or onsite) targets intermediate-level IT managers, business application developers, and system integrators who wish to integrate the capabilities of Google AI Studio into their business applications.

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

• Grasp the key features and capabilities of Google AI Studio relevant to business integration.
• Explore and link AI Studio with business applications via APIs.
• Tailor AI models to meet specific business use cases.
• Establish workflows that incorporate AI predictions into business processes.
• Deploy AI-driven insights and automation within enterprise applications.
• Troubleshoot and optimise integrations for scalability and efficiency.

Google AI Studio serves as a platform tailored for constructing, evaluating, and implementing AI-powered workflows and applications.

This instructor-led live training, available online or on-site, targets intermediate professionals seeking to streamline and enhance AI workflows through Google AI Studio.

Upon completing this training, participants will possess the following skills:

• Crafting efficient AI workflows using Google AI Studio.
• Integrating models and APIs into automated pipelines.
• Enhancing performance, testing, and monitoring protocols.
• Implementing 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.

Customization Options

• To adapt this course to specific tools, workflows, or use cases, please contact us to arrange customized training.