Agentic Development with Gemini 3 and Google Antigravity Training Course

Google Antigravity serves as a sophisticated framework for experimenting with long-lasting agents and emergent interactive dynamics.

This guided, live training session (available online or on-site) is designed for senior professionals aiming to design, analyse, and optimise agents capable of retaining memories, improving through feedback, and evolving across extended operational timelines.

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

• Design memory structures that ensure agent persistence.
• Implement robust feedback loops to influence agent behaviour.
• Assess learning trajectories and model drift.
• Integrate memory mechanisms within complex multi-agent ecosystems.

Course Format

• Expert-led discussions complemented by technical demonstrations.
• Practical exploration through structured design challenges.
• Application of concepts to simulated agent environments.

Customisation Options

• Should your organisation require tailored content or specific case examples, please contact us to arrange a customised training 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.

Antigravity is a development platform designed to build AI-driven, agent-first applications.

This instructor-led, live training (online or onsite) is aimed at intermediate-level developers who wish to create real-world applications using autonomous AI agents within the Antigravity environment.

After completing this training, participants will be equipped to:

• Develop applications that rely on autonomous and coordinated AI agents.
• Use the Antigravity IDE, editor, terminal, and browser for end-to-end development.
• Manage multi-agent workflows with the Agent Manager.
• Integrate agent capabilities into production-grade software systems.

Format of the Course

• Blended presentations with in-depth demonstrations.
• Extensive hands-on practice and guided exercises.
• Real implementation work inside the Antigravity live environment.

Course Customization Options

• For tailored content aligned with your development stack, please contact us to arrange a customized version of this training.

Google Antigravity is an agent-first development environment crafted to streamline engineering workflows through intelligent automation.

This instructor-led, live training (available online or onsite) is designed for beginner-level practitioners keen on exploring the fundamentals of Antigravity and understanding how agent-driven coding environments boost productivity.

Upon completing this training, participants will be able to:

• Install and configure Google Antigravity.
• Navigate and comprehend both the Editor View and Manager View.
• Work effectively with agents to automate simple development tasks.
• Use Antigravity to generate, refine, and manage project files.

Course Format

• Instructor explanations supported by real-time demonstrations.
• Guided exercises focused on hands-on use of agents.
• Practical exploration of core Antigravity features in a controlled lab environment.

Course Customization Options

• If you require a tailored version of this training, please contact us to arrange a customized program.

Google Antigravity serves as a platform designed for developing agents that can interact with web applications, browser environments, and multi-surface workflows.

This instructor-led live training, available either online or onsite, is tailored for intermediate-level professionals who wish to build, automate, and test browser-based workflows using Google Antigravity.

Upon completing the training, participants will be able to:

• Create agents that interact with web applications within a browser interface.
• Automate end-to-end workflows across different browser contexts.
• Validate and troubleshoot agent behaviour in user interface-driven environments.
• Implement cross-surface automation strategies using Antigravity.

Format of the Course

• Guided instruction supported by practical demonstrations.
• Practical, hands-on activities and scenario-based exercises.
• Implementation of agent workflows in an interactive lab environment.

Course Customization Options

• For customized training requirements, please contact us to tailor the course to your specific objectives.

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.

Google Antigravity is an agent-centric development platform used to orchestrate, supervise, and coordinate AI-driven coding and automation workflows.

This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to design, manage, and optimize multi-agent workflows within Google Antigravity.

Upon completion of this training, participants will gain the skills to:

• Configure agent responsibilities and orchestration pipelines within the Manager interface.
• Generate and interpret Antigravity artifacts, including task lists, plans, logs, and browser recordings.
• Implement verification strategies to ensure agent actions remain transparent and auditable.
• Optimize multi-agent collaboration for complex development and operational tasks.

Format of the Course

• Guided presentations and practical demonstrations.
• Scenario-based exercises focused on real workflow challenges.
• Hands-on experimentation within a live Antigravity workspace.

Course Customization Options

• If you require a tailored version of this course, please contact us to discuss customization options.

Antigravity is a framework that encapsulates sophisticated workflows for agent-driven development.

This instructor-led training, available either online or onsite, targets intermediate to advanced professionals who wish to verify, validate, and secure the output generated by AI agents operating within Antigravity-driven environments.

Upon completing this training, participants will be able to:

• Evaluate the precision and safety of code artefacts produced by agents.
• Employ structured methodologies to verify tasks executed by agents.
• Analyse browser recordings and monitor agent activity effectively.
• Apply quality assurance and security principles to ensure the reliability of agent workflows.

Course Format

• Instructor-guided technical briefings and discussions.
• Practical exercises centred on verifying real-world agent workflows.
• Hands-on testing and validation within a controlled lab environment.

Customisation Options for the Course

• Adaptation of scenarios, workflows, and testing examples is available upon request.