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

Google Antigravity serves as an agentic development environment tailored for constructing autonomous agents that can plan, reason, code, and execute actions utilizing Gemini 3’s multimodal capabilities.

This instructor-led, live training—available online or onsite—is designed for advanced technical professionals eager to design, build, and deploy autonomous agents using Gemini 3 and the Antigravity environment.

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

• Construct autonomous workflows leveraging Gemini 3 for reasoning, planning, and execution.
• Develop agents within Antigravity capable of analyzing tasks, writing code, and interacting with external tools.
• Integrate Gemini-driven agents into enterprise systems and APIs.
• Optimize agent behavior, ensuring safety and reliability in complex operational environments.

Format of the Course also allows for the evaluation of participants.

• 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.

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

This instructor-led live training, available either online or on-site, targets advanced professionals who aim to design, analyze, and optimize agents that can retain memories, improve through feedback mechanisms, and evolve over extended operational periods.

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

• Design long-term memory structures to ensure agent persistence.
• Implement effective feedback loops to influence agent behavior.
• Evaluate learning trajectories and identify model drift.
• Integrate memory mechanisms into complex multi-agent ecosystems.

Format of the Course also allows for the evaluation of participants.

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

Course Customization Options

• If your organization requires tailored content or specific case examples, please contact us to customize this training.

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 also allows for the evaluation of participants.

• 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 designed to streamline engineering workflows through intelligent automation.

This instructor-led, live training (online or onsite) is aimed at beginner-level practitioners who wish to explore the fundamentals of Antigravity and understand how agent-driven coding environments enhance productivity.

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

• Install and configure Google Antigravity.
• Navigate and understand 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.

Format of the Course also allows for the evaluation of participants.

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

This instructor-led live training, available online or onsite, targets intermediate-level professionals seeking to build, automate, and test browser-based workflows using Google Antigravity.

Upon completing the training, participants will be able to:

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

Course Format

• Guided instruction accompanied by live 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 objectives.

WrenAI is an AI-powered analytics platform designed to connect data, model insights, and generate dashboards. In enterprise environments, robust governance and security are critical to ensuring safe and compliant adoption.

This instructor-led, live training (online or onsite) is aimed at advanced-level enterprise professionals who wish to implement governance, compliance, and security patterns for WrenAI at scale.

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

• Design and implement permissioning models in WrenAI.
• Apply auditability and monitoring practices for compliance.
• Set up secure environments with enterprise-level controls.
• Roll out WrenAI safely across large organizations.

Format of the Course also allows for the evaluation of participants.

• Interactive lecture and discussion.
• Hands-on labs with governance and security configurations.
• Practical exercises simulating enterprise rollout scenarios.

Course Customization Options

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

WrenAI empowers organizations to transition from static dashboards to conversational analytics and embedded generative BI. Achieving this shift demands strategic adoption planning, asset migration, and robust change management practices.

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

Upon completing this training, participants will be able to:

• Evaluate existing legacy BI environments to identify modernization opportunities.
• Plan and execute the migration from static dashboards to WrenAI.
• Implement conversational analytics and embedded GenBI capabilities.
• Lead organizational change management initiatives for BI modernization.

Course Format

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

Course Customization Options

• To request customized training for this course, please contact us to make arrangements.

WrenAI facilitates the conversion of natural language into SQL queries and delivers AI-driven analytics, streamlining data access to make it faster and more intuitive. For enterprise-level deployment, robust quality assurance and observability practices are critical to guarantee accuracy, reliability, and regulatory compliance.

This instructor-led, live training (available online or on-site) targets advanced data and analytics professionals seeking to evaluate query precision, implement prompt tuning strategies, and deploy observability protocols for monitoring WrenAI in production environments.

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

• Assess the accuracy and reliability of natural language to SQL conversions.
• Utilize prompt tuning methods to enhance system performance.
• Monitor for drift and analyze query behavior over time.
• Instrument WrenAI with logging and observability frameworks.

Course Format

• Interactive lectures and group discussions.
• Practical exercises focused on evaluation and tuning techniques.
• Hands-on labs covering observability and monitoring integrations.

Customization Options

• For customized training arrangements for this course, please contact us.

The WrenAI API serves as a robust interface for transforming natural language into SQL queries, developing custom applications, and embedding charts within internal platforms.

This instructor-led, live training (available online or on-site) is designed for intermediate-level engineers seeking to leverage the WrenAI API for practical use cases, including SQL generation, data visualization, and application integration.

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

• Authenticate and establish connections between applications and the WrenAI API.
• Generate SQL queries from natural language inputs.
• Create and embed charts using specific API endpoints.
• Integrate WrenAI into backend systems and internal tooling.

Course Format

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

Customization Options

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

WrenAI Cloud is a contemporary platform designed to connect data sources, model data, and create interactive dashboards.

This instructor-led, live training (available online or onsite) is intended for beginner to intermediate-level data professionals who want to learn how to set up WrenAI Cloud, model data, and visualize insights in dashboards.

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

• Set up and configure WrenAI Cloud environments.
• Connect WrenAI Cloud to multiple data sources.
• Model data and define relationships for analytics.
• Create interactive dashboards for business insights.

Format of the Course also allows for the evaluation of participants.

• Interactive lecture and discussion.
• Hands-on cloud platform configuration and data modeling.
• Practical exercises in dashboard building and visualization.

Course Customization Options

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

WrenAI empowers finance teams to model KPIs, integrate standardized metrics, and design dashboards that align with regulatory requirements and audit standards.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level finance professionals who wish to use 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 in WrenAI.
• Build dashboards aligned with regulatory and audit requirements.
• Integrate WrenAI with finance data sources for real-time reporting.
• Apply best practices for financial analytics and risk monitoring.

Format of the Course also allows for the evaluation of participants.

• Interactive lecture and discussion.
• Hands-on exercises with financial data models.
• Practical labs 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 generative business intelligence tool that facilitates the conversion of natural language into SQL and supports semantic data modeling.

This instructor-led training session, available online or on-site, is designed for advanced-level data engineers, analytics engineers, and ML engineers who aim to construct robust semantic layers, refine prompts, and guarantee reliable SQL generation.

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

• Deploy semantic models to establish consistent metric definitions across teams.
• Enhance text-to-SQL performance to ensure accuracy and scalability.
• Configure and enforce guardrails to prevent invalid or high-risk queries.
• Integrate WrenAI OSS into existing data pipelines and analytics workflows.

Course Format

• Interactive lectures and discussions.
• Numerous exercises and practice sessions.
• Hands-on implementation within a live laboratory environment.

Course Customization Options

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

WrenAI is a conversational analytics platform that translates natural-language queries into reliable analytics, enabling non-technical teams to generate insights quickly and consistently.

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

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

• Design conversational analytics workflows that surface reliable product insights.
• Create and maintain a standardized metrics layer for consistent reporting.
• Use natural-language to SQL features effectively to answer product questions.
• Embed WrenAI-driven self-service dashboards and guardrails in product workflows.

Format of the Course also allows for the evaluation of participants.

• Interactive lecture and discussion.
• Hands-on labs with Wren AI 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 embed generative business intelligence (GenBI) directly within their customer-facing applications. This course equips SaaS teams with the necessary skills to integrate Wren AI via its Embedded API, configure white-label analytics, and manage multi-tenant deployments effectively.

This instructor-led, live training (available online or onsite) is designed for intermediate to advanced SaaS product leaders, data engineers, and full-stack developers seeking to deploy WrenAI as an embedded analytics solution within SaaS environments.

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

• Integrate WrenAI using the Embedded API for customer-facing applications.
• Implement white-label conversational BI features with custom branding and styling.
• Design secure and scalable multi-tenant architectures.
• Monitor usage metrics, optimize performance, and ensure compliance within SaaS environments.

Course Format

• Interactive lectures and discussions.
• Hands-on labs utilizing the WrenAI Embedded API.
• Workshop: Design and deploy a white-label analytics feature tailored for a specific SaaS use case.

Course Customization Options

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

The WrenAI Spreadsheets and Metrics Library facilitate rapid reporting by leveraging AI-driven spreadsheet workflows and a repository of pre-built, cross-platform business metrics.

This instructor-led live training (available online or onsite) is designed for operations professionals at beginner to intermediate levels who aim to accelerate their reporting and analytical processes using WrenAI Spreadsheets and the Metrics Library.

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

• Develop AI-enhanced spreadsheets for data analysis and reporting.
• Utilize the WrenAI Metrics Library to establish standardized Key Performance Indicators (KPIs).
• Link spreadsheets to various data sources to ensure real-time updates.
• Design automated workflows to streamline operational reporting.

Course Format

• Interactive lectures and discussions.
• Practical, hands-on experience building spreadsheets with WrenAI.
• Practical exercises focused on metrics and KPI reporting.

Course Customization Options

• For requests regarding customized training for this course, please contact us to arrange details.