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 designed for experimenting with long-lived agents and emerging interactive behaviors.

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

Upon course completion, participants will be equipped to:

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

Course Format

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

Course Customization Options

• For organizations requiring tailored content or specific case studies, 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

• 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

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

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

Upon completing the training, participants will be able to:

• Create agents that interact with web applications within 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.

Course Format

• 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 is an AI-driven analytics platform that facilitates data connectivity, insight modeling, and dashboard generation. In enterprise settings, establishing strong governance and security frameworks is essential to ensure safe and compliant adoption.

This instructor-led live training, available both online and onsite, targets advanced enterprise professionals aiming to implement scalable governance, compliance, and security patterns for WrenAI.

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

• Design and deploy permissioning models within WrenAI.
• Implement auditability and monitoring practices to meet compliance requirements.
• Establish secure environments supported by enterprise-grade controls.
• Safely rollout WrenAI across large-scale organizations.

Course Format

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

Customization Options

• For customized training requests, please contact us to make arrangements.

WrenAI empowers organizations to shift from static dashboards to conversational analytics and embedded generative BI. This evolution demands thoughtful adoption planning, seamless 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 seeking to modernize their legacy BI systems using WrenAI.

Upon completing this training, participants will be equipped to:

• Assess legacy BI environments and pinpoint modernization opportunities.
• Strategically plan and execute the transition from static dashboards to WrenAI.
• Implement conversational analytics and embedded GenBI capabilities.
• Lead organizational change management efforts 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

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

WrenAI facilitates natural language to SQL generation and AI-driven analytics, streamlining data access with greater speed and intuitiveness. For enterprise-level deployment, rigorous quality assurance and observability practices are critical to guarantee accuracy, reliability, and regulatory compliance.

This instructor-led live training, available both online and onsite, targets advanced data and analytics professionals seeking to assess query accuracy, implement prompt tuning strategies, and establish 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 outputs.
• Utilize prompt tuning techniques to enhance system performance.
• Monitor data drift and query patterns over time.
• Integrate WrenAI with logging and observability frameworks.

Course Format

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

Customization Options

• For customized training arrangements, please contact us directly.

The WrenAI API serves as a robust interface for converting natural language into SQL queries, constructing bespoke applications, and embedding visualizations within internal platforms.

This instructor-led, live training session (available online or onsite) is designed for intermediate-level engineers looking to leverage the WrenAI API for practical implementations, including SQL generation, data visualization, and application integration.

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

• Authenticating and linking 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 focused on connecting apps, charts, and data pipelines.

Customization Options

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

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

This guided, live training session, available either online or on-site, targets beginner to intermediate-level data professionals seeking to master the setup of WrenAI Cloud, data modeling techniques, and dashboard-based visualization of insights.

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

• Establish and configure WrenAI Cloud environments.
• Integrate WrenAI Cloud with various data sources.
• Model data and define analytical relationships.
• Develop interactive dashboards for actionable business insights.

Course Format

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

Customization Options

• For customized training arrangements for this course, please contact us to discuss your specific needs.

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

This instructor-led, live training (available online or onsite) is designed for intermediate to advanced finance professionals who want to leverage WrenAI to build 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

• 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 (BI) solution that facilitates the conversion of natural language into SQL queries, alongside comprehensive semantic data modeling.

This instructor-led, live training session, available either online or on-site, is designed for advanced data engineers, analytics engineers, and ML engineers seeking to construct robust semantic layers, fine-tune prompts, and guarantee reliable SQL output.

Upon completion of this training, participants will gain the ability to:

• Deploy semantic models that ensure consistent metric definitions across various teams.
• Enhance the accuracy and scalability of text-to-SQL performance.
• Set up and enforce guardrails to prevent invalid or high-risk queries.
• Seamlessly integrate WrenAI OSS into existing data pipelines and analytics workflows.

Course Format

• Engaging lectures combined with interactive discussions.
• Extensive exercises and practical practice sessions.
• Hands-on implementation within a live-lab environment.

Customization Options

• For those interested in a tailored training experience for this course, please reach out to us to make arrangements.

WrenAI serves as a conversational analytics platform, converting natural language queries into trustworthy analytics. This empowers non-technical teams to rapidly and consistently derive meaningful insights.

This instructor-led live training, available both online and onsite, targets intermediate-level product managers, analysts, and data champions who aim to implement conversational analytics and establish self-service BI capabilities using WrenAI.

Upon completing this training, participants will be able to:

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

Format of the Course

• Interactive lectures and discussions.
• Hands-on labs utilizing Wren AI and sample datasets.
• Workshop focused on building a self-service dashboard and conversational query set.

Course Customization Options

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

WrenAI empowers SaaS providers to embed generative business intelligence (GenBI) directly into their customer-facing applications. This course equips SaaS teams with the expertise to integrate Wren AI via its Embedded API, configure white-label analytics, and manage multi-tenant deployments effectively.

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 looking 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 by leveraging AI-driven spreadsheet workflows and a repository of pre-built, cross-platform business metrics.

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

Upon completing this training, participants will be capable of:

• Developing AI-enhanced spreadsheets for data analysis and reporting.
• Utilizing the WrenAI Metrics Library to establish standardized key performance indicators (KPIs).
• Linking spreadsheets to various data sources to ensure real-time updates.
• Developing automated workflows to streamline operational reporting.

Course Format

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

Course Customization Options

• For those interested in customizing this course, please reach out to us to arrange it.