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

This instructor-led live training, available either online or onsite, targets advanced professionals who aim to design, analyze, and optimize agents capable of retaining memories, improving through feedback, and evolving over extended operational periods.

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

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

Format of the Course

• 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 case-specific examples, please contact us to customize this training.

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

This instructor-led live training, available either online or on-site, targets intermediate-level developers aiming to build practical applications using autonomous AI agents within the Antigravity ecosystem.

Upon completing this training, participants will be able to:

• Develop applications that depend on coordinated and autonomous AI agents.
• Utilize the Antigravity IDE, editor, terminal, and browser for complete end-to-end development.
• Handle multi-agent workflows using the Agent Manager.
• Integrate agent functionalities into production-ready software systems.

Course Format

• A mix of presentations and in-depth demonstrations.
• Extensive hands-on practice and guided exercises.
• Real-world implementation work within the Antigravity live environment.

Course Customization Options

• For tailored content aligned with your specific 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

• 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 building agents capable of interacting with web applications, browser environments, and multi-surface workflows.

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

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

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

Format of the Course

• Guided instruction supported by 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 serves as an AI-driven analytics platform that facilitates data connectivity, insight modeling, and dashboard generation. Within enterprise settings, strong governance and security measures are essential to ensure adoption that is both secure and compliant.

This instructor-led, live training session (available online or onsite) targets advanced-level enterprise professionals seeking to deploy governance, compliance, and security frameworks for WrenAI on a large scale.

Upon completing this training, participants will be equipped to:

• Design and implement permissioning structures within WrenAI.
• Apply practices for auditability and monitoring to ensure compliance.
• Establish secure environments featuring enterprise-grade controls.
• Safely deploy WrenAI across large organizational networks.

Format of the Course

• Interactive lectures and discussions.
• Hands-on labs focusing on governance and security configurations.
• Practical exercises that simulate enterprise rollout scenarios.

Course Customization Options

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

WrenAI empowers organizations to shift away from static dashboards toward conversational analytics and embedded generative BI. This transformation demands thoughtful 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 capable of:

• Assessing legacy BI environments and pinpointing modernization opportunities.
• Planning and implementing the migration from static dashboards to WrenAI.
• Implementing conversational analytics and embedded GenBI functionalities.
• Steering organizational change management efforts for 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 tailored training arrangements, please contact us directly.

WrenAI facilitates the transformation of natural language into SQL queries and provides AI-driven analytics, streamlining and simplifying data access. For enterprise-level deployments, implementing robust quality assurance and observability protocols is critical to guaranteeing accuracy, dependability, and regulatory compliance.

This instructor-led, live training session (available online or onsite) is designed for experienced data and analytics specialists looking to assess query accuracy, utilize prompt tuning strategies, and deploy observability measures to oversee WrenAI in live production environments.

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

• Assess the precision and reliability of Natural Language to SQL (NL to SQL) outputs.
• Employ prompt tuning methods to enhance system performance.
• Track deviations and analyze query patterns over time.
• Integrate WrenAI with logging and observability frameworks.

Course Format

• Engaging lectures paired with interactive discussions.
• Practical exercises focusing on evaluation and tuning techniques.
• Hands-on laboratory sessions covering observability and monitoring integrations.

Customization Options

• For tailored training solutions for this course, please reach out to us to arrange a session.

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

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

Upon completing this training, participants will be capable of:

• Authenticating and connecting applications to the WrenAI API.
• Generating SQL queries from natural language inputs.
• Creating and embedding charts via API endpoints.
• Integrating WrenAI into backend systems and internal tools.

Course Format

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

Customization Options

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

WrenAI Cloud serves as a contemporary platform designed to facilitate the connection of data sources, data modeling, and the creation of interactive dashboards.

This instructor-led training session, available online or onsite, targets beginner to intermediate data professionals seeking to master the setup of WrenAI Cloud, effective data modeling techniques, and the visualization of insights within dashboards.

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

• Set up and configure WrenAI Cloud environments.
• Establish connections between WrenAI Cloud and various data sources.
• Model data and define relationships to support analytics.
• Develop interactive dashboards to derive business insights.

Course Format

• Interactive lectures and discussions.
• Practical, hands-on configuration of the cloud platform and data modeling.
• Hands-on exercises focused on building and visualizing dashboards.

Course Customization Options

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

WrenAI empowers finance teams to model key performance indicators (KPIs), unify standardized metrics, and craft dashboards that adhere to regulatory standards and audit protocols.

This instructor-led live training (available online or on-site) targets finance professionals from intermediate to advanced levels who want to leverage WrenAI to construct compliant financial data models and dashboards that facilitate informed decision-making and robust risk management.

Upon completing this training, participants will be capable of:

• Modeling financial KPIs and metrics within WrenAI.
• Developing dashboards that meet regulatory and audit requirements.
• Integrating WrenAI with financial data sources to enable real-time reporting.
• Applying best practices for financial analytics and risk monitoring.

Course Format

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

Course Customization Options

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

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

This instructor-led live training, available online or onsite, is designed for advanced data engineers, analytics engineers, and machine learning engineers who aim to build robust semantic layers, refine prompts, and ensure reliable SQL generation.

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

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

Course Format

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

Course Customization Options

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

WrenAI serves as a conversational analytics platform that converts natural-language queries into dependable analytics, empowering non-technical teams to derive insights rapidly and consistently.

This instructor-led, live training (available online or on-site) targets intermediate-level product managers, analysts, and data champions who aim to implement conversational analytics and develop self-service BI capabilities using WrenAI.

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

• Design conversational analytics workflows that highlight reliable product insights.
• Establish and maintain a standardized metrics layer to ensure consistent reporting.
• Effectively utilize natural-language to SQL features to address product-related inquiries.
• Integrate WrenAI-driven self-service dashboards and guardrails into product workflows.

Course Format

• Interactive lectures and discussions.
• Practical labs involving Wren AI and sample datasets.
• Workshop: Construction of a self-service dashboard and a set of conversational queries.

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 training programme equips SaaS teams with the expertise needed 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 who aim 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 custom branding and personalization.
• Design secure and scalable multi-tenant deployments.
• Monitor usage, 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 for a SaaS use case.

Course Customization Options

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

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

This instructor-led live training (available online or onsite) targets beginner to intermediate-level operations professionals seeking to accelerate their reporting and analysis capabilities using WrenAI Spreadsheets and the Metrics Library.

Upon completing this training, participants will be able to:

• Develop AI-enhanced spreadsheets for data analysis and reporting.
• Utilize the WrenAI Metrics Library to implement standardized KPIs.
• Link spreadsheets to various data sources for real-time updates.
• Establish 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.

Course Customization Options

• To request a customized version of this course, please contact us to arrange.