Edge & Lightweight Agents: On-Device Agentic Workloads with Python Training Course

Google Antigravity is a sophisticated development environment designed for creating autonomous agents that can plan, reason, code, and act using Gemini 3’s advanced multimodal capabilities.

This instructor-led, live training (available both online and onsite) is targeted at advanced-level technical professionals who are interested in designing, building, and deploying autonomous agents with the help of Gemini 3 and the Antigravity environment.

Upon completing this training, participants will be equipped to:

• Develop autonomous workflows that leverage Gemini 3 for reasoning, planning, and execution.
• Create agents in Antigravity that can analyze tasks, write code, and interact with various tools.
• Integrate Gemini-driven agents into enterprise systems and APIs.
• Enhance the behavior, safety, and reliability of agents in complex environments.

Format of the Course

• Expert-led demonstrations paired with interactive discussions.
• Hands-on experience in developing autonomous agents.
• Practical implementation using Antigravity, Gemini 3, and associated cloud tools.

Course Customization Options

• If your team needs specific agent behaviors or custom integrations for a particular domain, please contact us to customize the program accordingly.

Google Antigravity is an advanced framework designed for experimenting with long-lived agents and emergent interactive behaviors.

This instructor-led, live training (available both online and onsite) is targeted at advanced-level professionals who aim to design, analyze, and optimize agents that can retain memories, improve through feedback, and evolve over extended operational periods.

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

• Develop long-term memory structures for agent persistence.
• Implement effective feedback mechanisms to influence agent behavior.
• Assess learning trajectories and model drift.
• Integrate memory systems into complex multi-agent environments.

Format of the Course

• Expert-led discussions combined with technical demonstrations.
• Hands-on exploration through structured design challenges.
• Application of concepts in simulated agent environments.

Course Customization Options

• If your organization requires customized content or case-specific examples, please contact us to tailor this training to your needs.

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 utilize autonomous and coordinated AI agents.
• Use the Antigravity IDE, editor, terminal, and browser for comprehensive development processes.
• Manage multi-agent workflows using the Agent Manager.
• Integrate agent capabilities into production-grade software systems.

Format of the Course

• A combination of presentations with detailed demonstrations.
• Extensive hands-on practice and guided exercises.
• Real implementation work within the Antigravity live environment.

Course Customization Options

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

WrenAI is an AI-driven analytics platform designed to integrate data, model insights, and create dashboards. In enterprise settings, strong governance and security measures are essential for ensuring safe and compliant implementation.

This instructor-led, live training (available online or onsite) is tailored for advanced-level enterprise professionals who aim to implement governance, compliance, and security strategies for WrenAI on a large scale.

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

• Develop and implement permissioning models in WrenAI.
• Apply auditability and monitoring practices to ensure compliance.
• Set up secure environments with enterprise-level controls.
• Safely deploy WrenAI across large organizations.

Format of the Course

• Interactive lectures and discussions.
• Hands-on labs focusing on governance and security configurations.
• Practical exercises simulating enterprise deployment scenarios.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

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

This instructor-led, live training (available online or on-site) is targeted at intermediate-level professionals who want to design, manage, and optimize multi-agent workflows within Google Antigravity.

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

• Set up agent responsibilities and orchestration pipelines using the Manager interface.
• Create and interpret Antigravity artifacts such as task lists, plans, logs, and browser recordings.
• Implement verification strategies to ensure that agent actions are 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-world workflow challenges.
• Hands-on experimentation within a live Antigravity workspace.

Course Customization Options

• If you need a customized version of this course, please contact us to discuss your specific requirements.

WrenAI empowers organizations to evolve from static dashboards to conversational analytics and embedded generative BI. This transition necessitates meticulous planning, asset migration, and effective change management.

This instructor-led, live training (available online or on-site) is designed for intermediate-level BI and data platform professionals who aim to modernize their legacy BI systems using WrenAI.

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

• Assess existing BI environments and pinpoint opportunities for modernization.
• Plan and carry out migrations from static dashboards to WrenAI.
• Implement conversational analytics and embedded GenBI features.
• Guide organizational change management efforts for BI modernization.

Format of the Course

• Interactive lectures and discussions.
• Practical exercises focused on migration and adoption planning.
• Hands-on labs for conversational analytics and embedded GenBI.

Course Customization Options

• For a customized training session tailored to your specific needs, please contact us to arrange.

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

This instructor-led, live training (available online or on-site) is designed for intermediate to advanced professionals who aim to verify, validate, and secure the output generated by AI agents operating within Antigravity environments.

Upon completing this training, participants will be able to:

• Evaluate the precision and safety of code artifacts produced by agents.
• Employ structured methods to verify tasks executed by agents.
• Analyze browser recordings and trace agent activities effectively.
• Apply QA and security principles to ensure the reliability of agent workflows.

Format of the Course

• Instructor-guided technical briefings and discussions.
• Practical exercises focused on verifying actual agent workflows.
• Hands-on testing and validation in a controlled lab setting.

Course Customization Options

• Scenarios, workflows, and testing examples can be adapted upon request.

WrenAI facilitates the generation of SQL queries from natural language and offers AI-driven analytics, enhancing data access speed and intuitiveness. For enterprise-level applications, it is crucial to implement quality assurance and observability practices to ensure accuracy, reliability, and compliance.

This instructor-led, live training (available online or on-site) is designed for advanced data and analytics professionals who aim to assess query accuracy, refine prompt tuning, and implement observability practices for monitoring WrenAI in a production environment.

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

• Evaluate the precision and reliability of natural language to SQL outputs.
• Apply prompt tuning methods to enhance performance.
• Track drift and query behavior over time.
• Integrate WrenAI with logging and observability frameworks.

Format of the Course

• Interactive lectures and discussions.
• Hands-on exercises focusing on evaluation and tuning techniques.
• Practical labs for integrating observability and monitoring solutions.

Course Customization Options

• To request a customized training session for this course, please contact us to arrange.

The WrenAI API is a robust interface designed for generating SQL queries from natural language, building custom applications, and integrating charts into internal platforms.

This instructor-led, live training (conducted online or on-site) is tailored for intermediate-level engineers who want to leverage the WrenAI API for practical applications such as SQL generation, data visualization, and application integration.

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

• Authenticate and connect their applications to the WrenAI API.
• Generate SQL queries using natural language inputs.
• Create and embed charts using the API endpoints.
• Integrate WrenAI into backend systems and internal tools.

Format of the Course

• Interactive lectures and discussions.
• Hands-on exercises involving API calls and integrations.
• Practical projects that connect applications, charts, and data pipelines.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

WrenAI Cloud is a contemporary platform designed for integrating data sources, modeling data, and creating interactive dashboards.

This instructor-led, live training (available online or on-site) is tailored for beginner to intermediate-level data professionals who are interested in learning how to set up WrenAI Cloud, model data, and present insights through dashboards.

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

• Set up and configure WrenAI Cloud environments effectively.
• Connect WrenAI Cloud to various data sources seamlessly.
• Model data and establish relationships for robust analytics.
• Create interactive dashboards that provide valuable business insights.

Format of the Course

• Engaging lecture and discussion sessions.
• Hands-on practice in configuring the cloud platform and modeling data.
• Practical exercises focused on building dashboards and visualizations.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

WrenAI empowers finance teams by enabling them to model key performance indicators (KPIs), integrate standardized metrics, and create dashboards that comply with regulatory requirements and audit standards.

This instructor-led, live training (available online or on-site) is designed for intermediate to advanced finance professionals who want to leverage WrenAI for building compliant financial data models and dashboards that support decision-making and risk management.

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

• Model financial KPIs and metrics using WrenAI.
• Create dashboards that align with regulatory and audit requirements.
• Integrate WrenAI with finance data sources for real-time reporting.
• Implement best practices for financial analytics and risk monitoring.

Format of the Course

• Interactive lectures and discussions.
• Practical exercises with financial data models.
• Laboratory sessions on dashboard design and compliance reporting.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

WrenAI is an open-source business intelligence tool that facilitates the conversion of natural language into SQL and supports semantic data modeling.

This instructor-led, live training (available online or on-site) is designed for advanced-level data engineers, analytics engineers, and machine learning engineers who aim to build robust semantic layers, fine-tune prompts, and ensure reliable SQL generation.

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

• Implement semantic models to ensure consistent metric definitions across different teams.
• Enhance text-to-SQL performance for greater accuracy and scalability.
• Set up and enforce safeguards to prevent invalid or risky queries.
• Integrate WrenAI OSS into data pipelines and analytics workflows.

Format of the Course

• Interactive lectures and discussions.
• Extensive exercises and practice sessions.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

WrenAI is a conversational analytics platform that transforms natural-language queries into dependable analytics, enabling non-technical teams to generate insights efficiently and consistently.

This instructor-led, live training (online or onsite) is designed for intermediate-level product managers, analysts, and data champions who wish to adopt conversational analytics and develop self-service BI capabilities using WrenAI.

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

• Design conversational analytics workflows that provide reliable insights into product performance.
• Create and maintain a standardized metrics layer for consistent reporting across teams.
• Utilize natural-language to SQL features effectively to answer complex product questions.
• Integrate WrenAI-driven self-service dashboards and safeguards into product workflows.

Format of the Course

• Interactive lectures and discussions.
• Hands-on labs with WrenAI and sample datasets.
• Workshop: build a self-service dashboard and conversational query set.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

WrenAI empowers SaaS providers to integrate generative business intelligence (GenBI) directly into their customer-facing products. This course equips SaaS teams with the skills needed to incorporate Wren AI through its Embedded API, set up white-label analytics, and manage multi-tenant deployments.

This instructor-led, live training (available both online and onsite) is designed for intermediate to advanced SaaS product leaders, data engineers, and full-stack developers who aim to implement WrenAI as an embedded analytics solution in SaaS environments.

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

• Integrate WrenAI using the Embedded API for customer-facing applications.
• Implement white-label conversational BI with branding and customization.
• Design secure and scalable multi-tenant deployments.
• Monitor usage, optimize performance, and ensure compliance in SaaS environments.

Format of the Course

• Interactive lecture and discussion.
• Hands-on labs using the WrenAI Embedded API.
• Workshop: design and deploy a white-label analytics feature for a SaaS use case.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

WrenAI Spreadsheets and Metrics Library facilitate rapid reporting through AI-driven spreadsheet workflows and a collection of pre-built, cross-platform business metrics.

This instructor-led, live training (available online or on-site) is designed for operations professionals with beginner to intermediate levels of experience who want to speed up their reporting and analysis using WrenAI Spreadsheets and the Metrics Library.

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

• Create AI-powered spreadsheets for data analysis and reporting.
• Utilize the WrenAI Metrics Library for standardized KPIs.
• Integrate spreadsheets with various data sources for real-time updates.
• Develop automated workflows to enhance operational reporting efficiency.

Format of the Course

• Interactive lectures and discussions.
• Practical spreadsheet building using WrenAI.
• Exercises focused on metrics and KPI reporting.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.