Multi-Agent Systems & Coordination in Python Training Course

Google Antigravity serves as an agentic development environment tailored for creating autonomous agents that can plan, reason, code, and execute actions via the multimodal capabilities of Gemini 3.

This instructor-led live training (available online or on-site) targets advanced technical professionals who want to design, build, and deploy autonomous agents using Gemini 3 and the Antigravity platform.

After completing this training, participants will be equipped to:

• Construct autonomous workflows leveraging Gemini 3 for reasoning, planning, and execution.
• Develop agents within Antigravity that can analyze tasks, generate code, and interact with various tools.
• Integrate Gemini-powered agents into enterprise systems and APIs.
• Enhance agent behavior, safety, and reliability in complex operational environments.

Course Format

• Expert demonstrations paired with interactive discussions.
• Hands-on practice in autonomous agent development.
• Practical application using Antigravity, Gemini 3, and complementary cloud tools.

Course Customization Options

• If your team needs domain-specific agent behaviors or custom integrations, please reach out to us to tailor the program accordingly.

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

This instructor-led training session, 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 completing this course, participants will acquire the ability to:

• Design memory structures that ensure agent persistence over the long term.
• Implement effective feedback loops to guide and shape agent behavior.
• Evaluate 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.

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.

Upon completing this training, participants will be able to:

• Develop applications that rely on autonomous and coordinated AI agents.
• Utilize 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 is a platform designed for creating 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 aiming to build, automate, and test browser-based workflows using Google Antigravity.

Upon completing the training, participants will be equipped to:

• Develop agents that interact with web applications via the browser interface.
• Automate end-to-end workflows across different browser contexts.
• Validate and troubleshoot agent behavior within UI-driven environments.
• Implement cross-surface automation strategies utilizing Antigravity.

Course Format

• Guided instruction complemented by practical demonstrations.
• Hands-on activities and scenario-based exercises.
• Implementation of agent workflows within an interactive lab environment.

Customization Options

• For customized training needs, please reach out to tailor the course to your specific objectives.

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 evolve beyond rigid dashboards by embracing conversational analytics and integrated generative BI. This transformation demands thoughtful adoption strategies, systematic asset migration, and robust change management frameworks.

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

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

• Assess legacy BI environments and pinpoint modernization opportunities.
• Strategize and implement the transition from static dashboards to WrenAI.
• Implement conversational analytics and embedded GenBI functionalities.
• Spearhead 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.

Customization Options

• For customized training arrangements, please reach out to us.

WrenAI facilitates the generation of SQL from natural language and delivers AI-powered analytics, streamlining and simplifying data access. For enterprise deployments, robust quality assurance and observability practices are critical to guarantee accuracy, reliability, and regulatory compliance.

This instructor-led training, available online or onsite, is designed for advanced data and analytics professionals seeking to assess query accuracy, implement prompt tuning, and establish observability frameworks 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 behavior over time.
• Equip WrenAI with logging and observability frameworks.

Course Format

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

Course Customization Options

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

The WrenAI API serves as a robust interface designed to translate natural language into SQL queries, facilitate the development of custom applications, and embed visualizations within internal platforms.

This instructor-led live training, available online or on-site, targets intermediate engineers looking to apply the WrenAI API in practical scenarios, such as generating SQL, creating visualizations, and integrating applications.

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

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

Course Format

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

Customization Options

• To arrange customized training for this course, please reach out to us.

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

This instructor-led, live training, available both online and onsite, is tailored for data professionals ranging from beginner to intermediate levels. The course aims to equip participants with the skills necessary to set up WrenAI Cloud, model their data, and visualize key insights through dashboards.

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

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

Course Format

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

Course Customization Options

• For customized training requests, 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

• 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 designed to facilitate the conversion of natural language into SQL queries and support semantic data modeling.

This instructor-led live training, available both online and onsite, targets advanced data engineers, analytics engineers, and ML engineers who aim to build robust semantic layers, refine prompts, and ensure the reliability of SQL generation.

Upon completing this training, participants will be able to:

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

Course Format

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

Customization Options

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

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 incorporate generative business intelligence (GenBI) directly within their customer-facing applications. This training program equips SaaS teams with the necessary expertise to integrate Wren AI via its Embedded API, configure white-label analytics, and manage multi-tenant environments effectively.

This instructor-led, live training (available online or onsite) targets intermediate to advanced-level SaaS product leaders, data engineers, and full-stack developers looking to implement WrenAI as an embedded analytics solution within SaaS ecosystems.

Upon completing this training, participants will be able to:

• Integrate WrenAI using the Embedded API for applications intended for end-users.
• Deploy white-label conversational BI with tailored branding and customization.
• Architect secure and scalable multi-tenant deployments.
• Monitor usage, optimize performance, and ensure compliance within SaaS environments.

Course Format

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

Customization Options

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

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

This instructor-led live training, available either online or on-site, targets beginner to intermediate-level operations professionals seeking to accelerate their reporting and analytical processes using WrenAI Spreadsheets alongside the Metrics Library.

Upon completing this training, participants will be equipped to:

• Construct AI-enhanced spreadsheets designed for data analysis and reporting.
• Utilize the WrenAI Metrics Library to implement standardized KPIs.
• Link spreadsheets to various data sources to ensure live data updates.
• Develop automated workflows to streamline operational reporting tasks.

Course Format

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

Customization Options

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