Agentic Development with Gemini 3 and Google Antigravity Training Course

Google Antigravity serves as a sophisticated framework for the exploration of long-term autonomous agents and emergent interactive dynamics.

This instructor-led training, available in online or on-site formats, is designed for advanced professionals seeking to design, analyze, and optimize agents that maintain persistent memory, refine operations through feedback, and evolve over extended operational periods.

Upon course completion, participants will possess the competencies to:

• Architect long-term memory structures for agent continuity.
• Deploy effective feedback loops to direct agent performance.
• Analyze learning progressions and identify model drift.
• Integrate memory functions within complex multi-agent systems for government applications.

Instructional Methodology

• Guided technical discourse accompanied by practical demonstrations.
• Practical application through structured design exercises.
• Synthesis of concepts within simulated agent environments.

Customization Options

• Organizations requiring specialized content or specific case studies are encouraged to contact our office to tailor this training program.

Nano Banana is a specialized model engineered for rapid and efficient on-device AI execution for government use.

This instructor-led live training program, available online or on-site, is designed for intermediate-level practitioners seeking to design and deploy AI-powered mobile applications using Nano Banana without dependence on cloud infrastructure.

Upon completion of this program, participants should be able to:

• Implement Nano Banana models directly on mobile endpoints.
• Optimize AI workloads for enhanced performance and energy efficiency.
• Integrate text and image generation features into mobile application frameworks.
• Troubleshoot, benchmark, and refine on-device inference pipelines.

Course Format

• Instructor-guided technical demonstrations and collaborative discourse.
• Practical exercises aligned with operational use cases.
• Hands-on development and testing within a live mobile environment.

Course Customization Options

• Should a tailored version of this curriculum be required for specific government needs, please contact us to discuss customization possibilities.

Nano Banana constitutes a lightweight artificial intelligence framework engineered to optimize model acceleration and compression, facilitating efficient deployment in on-device and edge environments for government applications.

This live, instructor-led training program, available online or on-site, is designed for intermediate to advanced technical professionals seeking to optimize, compress, and deploy AI models within edge infrastructures utilizing the Nano Banana ecosystem.

Upon completion of this program, participants will demonstrate the ability to:

• Implement compression and quantization methodologies on AI models.
• Enhance inference performance metrics for edge-based devices.
• Convert and deploy models using the Nano Banana integrated toolchain.
• Analyze and manage trade-offs regarding accuracy, latency, and computational resource utilization.

Course Delivery Format

• Facilitated technical instruction and guided analytical discussions.
• Practical exercises based on real-world edge AI operational scenarios.
• Applied implementation within a pre-configured live technical environment.

Course Customization Options

• To address specific organizational requirements or tailored content for government agencies, please contact the program office to arrange a customized curriculum.

Antigravity serves as a specialized development platform engineered for the construction of AI-powered, agent-centric applications for government use.

This facilitated, live instruction session (available remotely or on-site) targets mid-level technical personnel seeking to deploy functional solutions utilizing autonomous AI entities within the Antigravity ecosystem.

Upon completion, participants will possess the competencies required to:

• Engineer systems dependent on independent and synchronized AI components.
• Utilize the Antigravity IDE, including its editor, terminal, and browser interfaces, for comprehensive system development.
• Administer complex multi-agent processes via the Agent Manager module.
• Incorporate agent functionalities into enterprise-grade software infrastructures.

Instructional Methodology

• Combined theoretical presentations and detailed technical demonstrations.
• Comprehensive practical exercises and guided skill application.
• Direct implementation tasks executed within the live Antigravity environment.

Curriculum Adaptation Options

• For content tailored to specific technical stacks, coordinate with our team to establish a customized training module for government operations.

Google Antigravity is an agent-priority development environment engineered to optimize engineering workflows through intelligent automation capabilities.

This instructor-led, live training session (available online or in-person) is designated for entry-level practitioners seeking to examine the foundational elements of Antigravity and comprehend how agent-driven coding environments augment operational efficiency.

Upon successful completion of this training program, participants will demonstrate the ability to:

• Install and configure Google Antigravity in a controlled environment.
• Navigate and interpret both the Editor Interface and Manager Interface.
• Collaborate effectively with autonomous agents to automate foundational development tasks.
• Utilize Antigravity to generate, refine, and manage project documentation and code files.

Instructional Delivery Method

• Instructor-led explanations accompanied by live, real-time demonstrations.
• Structured exercises emphasizing practical application of agent features.
• Practical examination of core Antigravity capabilities within a secure laboratory setting.

Customization Provisions

• For agencies requiring a tailored curriculum specific to their operational needs, please contact our team to arrange a customized training program for government use.

Google Antigravity is a platform designed for constructing agents that interact with web applications, browser environments, and multi-surface workflows.

This instructor-led, live training (delivered online or on-site) is intended for intermediate-level professionals seeking to build, automate, and test browser-based workflows using Google Antigravity.

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

• Develop agents capable of interacting with web applications within a browser surface.
• Automate end-to-end workflows across various browser contexts.
• Validate and troubleshoot agent behavior in UI-driven environments.
• Implement cross-surface automation strategies utilizing Antigravity.

Course Delivery Format

• Guided instruction supported by practical demonstrations.
• Hands-on activities and scenario-based exercises focused on application.
• Execution of agent workflows within an interactive lab environment.

Course Customization Options

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

Gemini 3 is a sophisticated multimodal artificial intelligence platform engineered to facilitate advanced reasoning, complex contextual analysis, and extensive analytical workflows.

This live, instructor-led training program, available in both online and onsite formats, is tailored for senior-level professionals seeking to utilize Deep-Think Mode for rigorous analysis, predictive modeling, and strategic planning for government.

Upon completion of this course, participants will be prepared to:

• Utilize Deep-Think Mode to resolve complex, multi-faceted operational challenges.
• Architect reasoning pipelines that integrate long-context data analysis.
• Refine prompts to support iterative, multi-stage reasoning processes.
• Incorporate Deep-Think functionalities into research or production environments for government.

Course Structure

• Specialist-led presentations featuring practical case studies.
• Practical reasoning exercises and structured assessments.
• Applied development through live simulation environments.

Customization Capabilities

• Tailored sessions or sector-specific deep-reasoning projects may be arranged for government clients upon request.

Gemini 3 is a multimodal artificial intelligence model engineered to reason across text, images, and structured inputs, facilitating complex enterprise workflows for government and other sectors.

This instructor-led, live training, available online or onsite, is designed for intermediate-level professionals seeking to establish reasoning-driven and multimodal workflows utilizing Gemini 3 within enterprise environments.

Upon completion of this course, participants will possess the skills to:

• Leverage Gemini 3’s reasoning capabilities for enterprise planning and decision workflows.
• Architect 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 accompanied by expert technical explanations.
• Practical exercises focused on workflow design and multimodal task execution.
• Hands-on experimentation in AI Studio or Vertex AI environments.

Course Customization Options

• Should your organization require tailored workflow scenarios or data integration examples, please contact the providers to adapt the training for government or other specific operational needs.

Gemini 3 is an advanced artificial intelligence system designed to augment Google Search functionalities and institutional productivity through the integration of AI Mode.

This facilitator-led, live instruction program—delivered either virtually or on-site—is specifically curated for entry-level users seeking to utilize Gemini 3 for optimizing research, strategic planning, analytical processes, and routine administrative operations for government and enterprise environments.

During this instructional module, participants will acquire the competencies necessary to:

• Utilize Gemini 3 within AI Mode to expedite research initiatives and information retrieval.
• Implement AI-supported workflows to synthesize content and derive strategic insights.
• Incorporate Gemini 3 functionalities into standard operational productivity tasks.
• Adopt rigorous best practices for the responsible and compliant use of AI technologies.

Instructional Methodology

• Facilitator-led presentations and technical demonstrations.
• Structured practical exercises designed for competency development.
• Application of real-world scenarios utilizing live search and productivity contexts.

Program Customization Availability

• To establish a tailored training regimen aligned with specific operational workflows, contact the program administrators to discuss customization parameters for government and enterprise needs.

This instructor-led, live training program, conducted in US via online or on-site formats, targets developers with beginner to intermediate experience who seek to integrate AI capabilities into their applications for government use.

Following the completion of this training, participants will possess the ability to:

• Grasp the core concepts underlying large language models.
• Establish and utilize Google Gemini AI for diverse artificial intelligence functions.
• Execute text-to-text and image-to-text data transformation workflows.
• Develop elementary applications powered by artificial intelligence.
• Examine advanced features and customization settings available in Google Gemini AI.

This instructor-led live training, delivered either online or on-site in US, is targeted at intermediate-level professionals engaged in content creation for government, who intend to utilize Google Gemini AI to enhance the quality and operational efficiency of their outputs.

By the conclusion of this program, participants will be equipped to:

• Understand the strategic implications of artificial intelligence in content creation for government.
• Set up and deploy Google Gemini AI to generate and optimize content resources.
• Apply text-to-text transformation techniques to develop accurate and original content.
• Execute search engine optimization strategies informed by AI analytics for government platforms.
• Monitor content performance and refine strategic directions using Gemini AI insights.

This instructor-led live training conducted in US (online or onsite) is designed for intermediate-level public service professionals who intend to implement Google Gemini AI within their operational workflows for government.

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

• Understand the impact of AI on public service delivery for government.
• Configure Google Gemini AI to automate and personalize constituent interactions for government.
• Leverage text-to-text and image-to-text transformations to enhance service efficiency for government.
• Develop AI-driven strategies for real-time feedback analysis in public sectors.
• Explore advanced features to create a seamless public service experience for government.

This instructor-led live training in US (online or on-site) is designed for beginner to intermediate-level data analysts and business professionals. It enables the performance of complex data analysis tasks more intuitively across various government functions using Google Gemini AI.

By the completion 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 effective data visualizations.
• Communicate data-driven insights effectively.

Google Antigravity serves as an agent-centric development platform designed to orchestrate, supervise, and coordinate AI-driven coding and automation workflows for government operations.

This live, instructor-led training session, available online or on-site, targets intermediate-level professionals seeking to design, manage, and optimize multi-agent workflows within Google Antigravity for government contexts.

Upon successful completion, participants will possess the competencies required 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 for government oversight.
• Optimize multi-agent collaboration for complex development and operational tasks within public sector environments.

Instructional Methodology

• Structured presentations and technical demonstrations.
• Scenario-based exercises addressing realistic workflow challenges.
• Practical experimentation within a live Antigravity workspace.

Course Customization Options

• Entities requiring a tailored version of this curriculum are advised to contact the training provider to discuss customization options.

Antigravity is a framework that embodies advanced agent-driven development paradigms.

This instructor-led, live training program (delivered online or onsite) is designed for intermediate to advanced professionals seeking to verify, validate, and secure the output generated by AI agents within Antigravity-driven environments.

Upon completion of this training, participants will be capable of:

• Evaluating the accuracy and security of agent-generated code artifacts for government use.
• Utilizing structured methods to verify tasks executed by agents.
• Analyzing browser recordings and tracing agent activity with precision.
• Applying QA and security standards to ensure the reliability of agent workflows.

Instructional Format

• Instructor-led technical briefings and professional discussions.
• Practical exercises centered on the verification of real-world agent workflows.
• Hands-on testing and validation conducted within a controlled laboratory environment.

Course Customization Options

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