Google Cloud Generative AI Leader – Certification Preparation Training Course

Google Antigravity is an agentic development environment crafted 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 optimised for fast, efficient on-device AI execution.

This instructor-led, live training (online or onsite) is aimed at intermediate-level practitioners who wish to design and deploy AI-powered mobile applications using Nano Banana without relying on cloud infrastructure.

Upon completing this programme, attendees should be able to:

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

Format of the Course

• 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 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 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 optimize, compress, and deploy AI models for edge environments using Nano Banana.

By the end of this program, participants will be equipped with the following capabilities:

• Apply compression and quantization 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 organization-specific adaptations, please reach out to arrange a customized version of this course.

This instructor-led live training in Nigeria (online or on-site) is designed for intermediate-level participants keen on exploring workflow automation through Google AI Studio. You will learn to use 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, handle high-context tasks, and support long-form analytical workflows.

This instructor-led, live training (available online or onsite) is tailored for advanced professionals looking 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 resolve 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 workflows.

Course Format

• Expert-led presentations enriched with real-world examples.
• Hands-on reasoning labs and structured exercises.
• Practical 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 AI model engineered to reason across text, images, and structured inputs, thereby supporting complex enterprise workflows.

This instructor-led, live training (available online or onsite) is tailored for intermediate-level professionals looking to build reasoning-driven and multimodal workflows using Gemini 3 within enterprise environments.

Upon 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 Google Search capabilities and workplace productivity via its AI Mode feature.

This instructor-led live training, available either online or onsite, is specifically tailored for beginner-level users looking to harness Gemini 3 to streamline their research, planning, analysis, and daily knowledge work.

Throughout the course, participants will acquire the necessary skills to:

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

Course Customization Options

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

This instructor-led live training in Nigeria (online or onsite) is designed for beginner to intermediate developers seeking 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 Nigeria (online or onsite) targets intermediate-level content creators looking to leverage Google Gemini AI to improve their content quality and efficiency.

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

• Grasp the role of AI in content creation.
• Configure and use Google Gemini AI to generate and refine content.
• Apply text-to-text transformations to create unique and engaging content.
• Deploy SEO strategies informed by AI-driven insights.
• Evaluate content performance and adjust strategies using Gemini AI.

This instructor-led, live training in Nigeria (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 Nigeria (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:

• 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 compelling data visualizations.
• Communicate data-driven insights effectively.

This instructor-led live training in Nigeria (online or onsite) is designed for 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 Nigeria (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:

• Grasp the fundamental concepts of AI and machine learning.
• Navigate and make effective use of the Google AI Studio interface and tools.
• 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 session in Nigeria (available online or onsite) targets intermediate-level IT managers, business application developers, and system integrators seeking to integrate the capabilities of Google AI Studio with their business applications.

Upon completing this training, participants will be equipped to:

• Grasp the key features and capabilities of Google AI Studio relevant to business integration.
• Explore and establish connections between AI Studio and business applications through APIs.
• Customize AI models to address specific business use cases.
• Configure workflows that seamlessly integrate AI predictions into business processes.
• Deploy AI-driven insights and automation solutions within enterprise applications.
• Troubleshoot and optimize integrations to ensure scalability and operational efficiency.

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

This instructor-led live training, available either online or onsite, targets intermediate professionals looking to streamline and enhance their AI workflows through the utilization of Google AI Studio.

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

• Engineer efficient AI workflows leveraging Google AI Studio.
• Seamlessly integrate models and APIs into automated pipelines.
• Enhance practices related to performance, testing, and monitoring.
• Implement best practices for secure and scalable AI operations.

Course Format

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

Customization Options

• To tailor this course to specific tools, workflows, or use cases, please reach out to us for customization.