Multi-Agent Systems & Coordination in 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 long-lived agents and emergent interactive behaviors.

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

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

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

Format of the Course

• Expert-led discussion paired with technical demonstrations.
• Hands-on exploration through structured design challenges.
• Application of concepts to 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 specialized development platform for constructing AI-driven, agent-first applications.

This instructor-led, live training session—available both online and on-site—is tailored for intermediate-level developers aiming to build practical applications using autonomous AI agents within the Antigravity ecosystem.

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

• Creating applications that depend on autonomous and synchronized AI agents.
• Utilizing the Antigravity IDE, editor, terminal, and browser for complete end-to-end development.
• Orchestrating multi-agent workflows via the Agent Manager.
• Integrating agent functionalities into production-ready software systems.

Course Format

• A blend of theoretical presentations with detailed live demonstrations.
• Extensive hands-on practice and guided exercises.
• Practical implementation work directly 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.

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 constructing agents designed to interact with web applications, browser environments, and multi-surface workflows.

This instructor-led training, available both online and onsite, is tailored for intermediate professionals aiming to build, automate, and test browser-based workflows using Google Antigravity.

After completing the training, participants will be equipped to:

• Develop agents that engage with web applications within a browser interface.
• Automate comprehensive workflows across various browser contexts.
• Validate and resolve issues related to agent behavior in user interface-driven environments.
• Deploy cross-surface automation strategies leveraging Antigravity.

Course Structure

• Directed instruction complemented by live demonstrations.
• Practical, hands-on exercises and scenario-based activities.
• Implementation of agent workflows within an interactive lab setting.

Customization Options

• For specific training needs, please reach out to us to adapt the course to your unique goals.

WrenAI is an AI-driven analytics platform built to link data, model insights, and generate dashboards. In enterprise settings, strong governance and security measures are essential for ensuring safe and compliant adoption.

This instructor-led, live training (available online or on-site) is designed for advanced-level enterprise professionals who want 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 shift from static dashboards to conversational analytics and embedded generative BI. Successfully navigating this transformation demands strategic adoption planning, thorough 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 completion of this training, participants will be able to:

• Assess legacy BI environments and pinpoint modernization opportunities.
• Develop and implement migration strategies from static dashboards to WrenAI.
• Implement conversational analytics and embedded GenBI functionalities.
• Drive organizational change management efforts during 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 customized training requests, please contact us to arrange a session.

WrenAI facilitates the conversion of natural language into SQL and empowers AI-driven analytics, making data access faster and more intuitive. For enterprise-grade applications, rigorous quality assurance and observability practices are critical to ensuring 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, apply prompt tuning strategies, and implement observability practices to monitor 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 performance.
• Track query behavior and detect drift over time.
• Integrate WrenAI with logging and observability frameworks.

Course Format

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

Customization Options

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

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

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

Upon completing this training, participants will be able to:

• Authenticate and link applications to the WrenAI API.
• Generate SQL queries from natural language inputs.
• 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 applications, charts, and data pipelines.

Customization Options

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

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

This instructor-led, live training (available online or onsite) targets beginner to intermediate data professionals seeking 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

• 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 key performance indicators (KPIs), integrate standardized metrics, and design dashboards that comply with regulatory requirements and audit standards.

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

Upon completing this training, participants will be able to:

• Model financial KPIs and metrics within WrenAI.
• Construct 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 customized training for this course, please contact us to arrange it.

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

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

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

• Implement semantic models to ensure consistent metric definitions across teams.
• Optimize text-to-SQL performance for greater 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 applications.
• Hands-on implementation within 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 empowers SaaS providers to seamlessly embed generative business intelligence (GenBI) directly within their customer-facing products. 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 online or onsite) targets intermediate to advanced-level SaaS product leaders, data engineers, and full-stack developers who aim to deploy WrenAI as an embedded analytics solution within SaaS environments.

Upon completing this training, participants will be able to:

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

Customization Options

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

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

This instructor-led training session (available online or onsite) targets beginner to intermediate-level operations professionals seeking to expedite reporting and analysis processes through WrenAI Spreadsheets and the Metrics Library.

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

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

Course Format

• Interactive lectures and discussions.
• Practical sessions on building spreadsheets with WrenAI.
• Applied exercises focused on metrics and KPI reporting.

Course Customization Options

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