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

Google Antigravity is an agentic development environment designed 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.

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

This instructor-led training, available online or onsite, targets advanced professionals seeking to design, analyze, and optimize agents that retain memories, improve via feedback, and evolve over extended operational periods.

Upon course completion, participants will acquire the ability to:

• Architect long-term memory structures for agent persistence.
• Establish effective feedback loops to guide agent behavior.
• Assess learning trajectories and monitor model drift.
• Integrate memory mechanisms within complex multi-agent ecosystems.

Course Format

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

Customization Options

• For organizations requiring tailored content or case-specific examples, please reach out to customize this training.

Antigravity serves as a specialized development platform tailored for creating AI-driven, agent-first applications.

This instructor-led live training, available either online or on-site, is designed for intermediate-level developers looking to build real-world applications utilizing autonomous AI agents within the Antigravity ecosystem.

Upon completing this training, participants will be able to:

• Build applications that depend on coordinated and autonomous AI agents.
• Utilize the Antigravity IDE, including its editor, terminal, and browser features for comprehensive development.
• Oversee multi-agent workflows via the Agent Manager.
• Embed agent capabilities into production-ready software systems.

Course Format

• A mix of presentations and in-depth practical demonstrations.
• Abundant hands-on practice supported by guided exercises.
• Practical implementation work conducted directly within the live Antigravity environment.

Customization Options

• For content tailored to your specific development stack, please reach out to us to organize 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

• 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 for developing agents that interact with web applications, browser environments, and cross-platform workflows.

This instructor-led live training (available online or onsite) is designed for intermediate professionals looking to build, automate, and test browser-based workflows using Google Antigravity.

After completing the training, participants will be able to:

• Develop agents that interact with web applications within a browser interface.
• Automate end-to-end workflows across different browser contexts.
• Validate and resolve agent behavior issues in UI-driven environments.
• Deploy cross-platform automation strategies using 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 setting.

Customization Options

• For tailored training requirements, please contact us to adapt the course to your specific goals.

WrenAI is an AI-driven 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

• 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 move past static dashboards by enabling conversational analytics and embedded generative BI. This evolution demands meticulous adoption planning, asset migration, and robust change management strategies.

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

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

• Assess legacy BI environments and pinpoint opportunities for modernization.
• Plan and implement migrations from static dashboards to WrenAI.
• Embrace conversational analytics and embedded GenBI functionalities.
• Guide organizational change management initiatives related to BI modernization.

Course Format

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

Course Customization Options

• For customized training requests, please contact us to arrange.

WrenAI facilitates the generation of SQL from natural language and provides AI-powered analytics, making data access faster and more intuitive. For enterprise-grade deployments, robust quality assurance and observability practices are crucial to guarantee accuracy, reliability, and compliance.

This instructor-led live training (available online or onsite) is designed for advanced data and analytics professionals who want to evaluate query accuracy, apply prompt tuning methods, and implement observability practices to monitor WrenAI in production environments.

By the conclusion of this training, participants will be capable of:

• Assessing the accuracy and reliability of natural language to SQL outputs.
• Applying prompt tuning techniques to enhance performance.
• Monitoring drift and query behavior over time.
• Instrumenting WrenAI with logging and observability frameworks.

Course Format

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

Course Customization Options

• To request customized training for this course, please get in touch with us to arrange it.

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

This instructor-led, live training (available online or onsite) targets intermediate-level engineers seeking to leverage the WrenAI API for practical use cases, such as SQL generation, data visualization, and application integration.

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

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

Course Format

• Interactive lectures and discussions.
• Practical exercises involving API calls and integrations.
• Real-world projects connecting apps, charts, and data pipelines.

Customization Options

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

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

This instructor-led, live training session (available online or onsite) is tailored for beginner to intermediate data professionals looking to master the setup of WrenAI Cloud, model data, and visualize key insights through dashboards.

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

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

Course Format

• Interactive lectures and discussions.
• Hands-on practice with cloud platform configuration and data modeling.
• Practical exercises focused on dashboard creation and visualization.

Customization Options

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

WrenAI empowers finance teams to model Key Performance Indicators (KPIs), integrate standardized metrics, and craft dashboards that adhere to regulatory standards and audit requirements.

This instructor-led, live training (available online or onsite) targets intermediate to advanced finance professionals seeking to leverage WrenAI for constructing compliant financial data models and dashboards that enhance decision-making and risk management.

Upon completing this training, participants will be able to:

• Model financial KPIs and metrics within WrenAI.
• Construct dashboards that meet regulatory and audit compliance standards.
• Integrate WrenAI with financial data sources to enable real-time reporting.
• Implement best practices for financial analytics and risk monitoring.

Format of the Course

• Interactive lectures and discussions.
• Hands-on exercises involving financial data models.
• Practical labs focused on dashboard design and compliance reporting.

Course Customization Options

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

WrenAI is an open-source generative BI tool that enables natural language to SQL conversion and semantic data modeling.

This instructor-led, live training (online or onsite) is aimed at advanced-level data engineers, analytics engineers, and ML engineers who wish to build robust semantic layers, tune prompts, and ensure reliable SQL generation.

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

• Implement semantic models for consistent metric definitions across teams.
• Optimize text-to-SQL performance for accuracy and scalability.
• Configure and enforce guardrails to avoid invalid or risky queries.
• Integrate WrenAI OSS into data pipelines and analytics workflows.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• 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 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

• 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 allows SaaS providers to integrate generative business intelligence (GenBI) directly into their customer-facing applications. This course equips SaaS teams with the necessary skills to integrate WrenAI via its Embedded API, configure white-label analytics, and manage multi-tenant deployments.

This instructor-led, live training (available online or onsite) is designed for intermediate to advanced SaaS product leaders, data engineers, and full-stack developers who wish 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 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 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 repository of pre-built, cross-platform business metrics.

This instructor-led, live training (available online or onsite) is designed for beginner to intermediate-level operations professionals who want to speed up their reporting and analysis processes using WrenAI Spreadsheets and the Metrics Library.

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

• Construct AI-powered spreadsheets for data analysis and reporting.
• Utilize the WrenAI Metrics Library to establish standardized KPIs.
• Link spreadsheets to various data sources for real-time updates.
• Develop automated workflows to streamline operational reporting.

Course Format

• Interactive lectures and discussions.
• Practical sessions on building spreadsheets with WrenAI.
• Hands-on exercises involving metrics and KPI reporting.

Customization Options

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