Agentic AI in Multi-Agent Systems Training Course

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

This instructor-led, live training (available online or onsite) targets advanced technical professionals aiming to design, build, and deploy autonomous agents using Gemini 3 and the Antigravity ecosystem.

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

• Construct autonomous workflows that utilize Gemini 3 for reasoning, planning, and execution.
• Develop agents within Antigravity capable of analyzing tasks, writing code, and interacting with various tools.
• Integrate Gemini-driven agents with enterprise systems and APIs.
• Enhance agent behavior, safety, and reliability in complex operational environments.

Course Format

• Expert demonstrations paired with interactive discussions.
• Hands-on experimentation focused on autonomous agent development.
• Practical implementation utilizing 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 an advanced framework designed for experimenting with persistent agents and emerging interactive behaviors.

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

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

• Design memory structures that ensure long-term agent persistence.
• Implement robust feedback loops to influence 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 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 represents a new generation of agent-centric development environments, engineered to optimize engineering processes through intelligent automation.

This live, instructor-led training (available online or at your location) is designed for beginners looking to grasp the fundamentals of Antigravity and discover how agent-driven coding environments can significantly boost productivity.

After completing this course, participants will be equipped to:

• Install and set up Google Antigravity.
• Navigate and comprehend both the Editor View and Manager View.
• Collaborate effectively with agents to automate routine development tasks.
• Leverage Antigravity to generate, refine, and organize project files.

Course Format

• Instructor-led explanations accompanied by real-time demonstrations.
• Guided, hands-on exercises focused on practical agent usage.
• Practical exploration of core Antigravity features within a controlled lab environment.

Customization Options

• Need a version tailored to your specific needs? Please contact us to arrange a customized program.

Google Antigravity is a platform designed for creating 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.

Course Format

• Guided instruction supported by demonstrations.
• Practical, hands-on activities and scenario-based exercises.
• Implementation of agent workflows in an interactive lab environment.

Customization Options

• For customized training requirements, please contact us to tailor the course to your objectives.

WrenAI is an AI-powered 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 transition 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 completion of this training, participants will be equipped to:

• Assess legacy BI environments and pinpoint modernization opportunities.
• Strategize and implement the migration from static dashboards to WrenAI.
• Embrace conversational analytics and embedded GenBI functionalities.
• Drive organizational change management efforts for BI modernization.

Course Format

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

Customization Options

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

WrenAI facilitates the conversion of natural language into SQL queries and provides AI-driven analytics, streamlining and simplifying data access. For organizations requiring enterprise-grade solutions, implementing robust quality assurance and observability practices is critical to guaranteeing accuracy, reliability, and regulatory compliance.

This instructor-led, live training session (available online or onsite) targets advanced data and analytics professionals seeking to evaluate query precision, apply prompt optimization techniques, and establish observability protocols for monitoring WrenAI in live production environments.

Upon completing this training, participants will be equipped to:

• Assess the accuracy and dependability of natural language to SQL outputs.
• Utilize prompt tuning methods to enhance system performance.
• Track data drift and analyze query behavior over time.
• Enable 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.

Course Customization Options

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

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

This instructor-led, live training, available both online and 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 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 utilizing 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 linking apps, 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 for linking data sources, structuring data models, and constructing interactive dashboards.

This instructor-led, live training session, available online or onsite, targets beginner to intermediate data professionals looking to master the setup of WrenAI Cloud, data modeling techniques, and the creation of insightful dashboards.

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

• Provision and configure WrenAI Cloud environments.
• Link WrenAI Cloud with various data sources.
• Model data structures and define analytical relationships.
• Develop interactive dashboards to derive business insights.

Course Format

• Engaging lectures and group discussions.
• Practical exercises on cloud platform configuration and data modeling.
• Hands-on practice in building and visualizing dashboards.

Course Customization Options

• For tailored training on this topic, please reach out to us to make arrangements.

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

This instructor-led live training, available in online or onsite formats, targets intermediate-level product managers, analysts, and data champions looking 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.
• Develop 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.

Course Format

• Interactive lectures and discussions.
• Hands-on labs featuring Wren AI and sample datasets.
• Workshop: Construct a self-service dashboard and conversational query set.

Course Customization Options

• For customized training arrangements for this course, please contact us.

WrenAI empowers SaaS providers to seamlessly embed generative business intelligence (GenBI) directly within their customer-facing products. This course is designed to equip SaaS teams with the essential skills to integrate Wren AI via its Embedded API, configure white-label analytics solutions, and manage complex multi-tenant deployments.

This instructor-led live training, available either online or onsite, is tailored for intermediate to advanced SaaS product leaders, data engineers, and full-stack developers who aim to deploy WrenAI as an embedded analytics solution within their SaaS environments.

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

• Integrate WrenAI using the Embedded API for applications directed at customers.
• Implement white-label conversational BI features with customized branding and styling.
• Design secure and scalable multi-tenant deployment architectures.
• Monitor usage metrics, optimize performance, and ensure regulatory compliance within SaaS environments.

Course Format

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

Customization Options

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

WrenAI Spreadsheets and the Metrics Library accelerate 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 operations professionals aiming to speed up reporting and analysis by leveraging WrenAI Spreadsheets and the Metrics Library.

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

• Construct AI-enhanced spreadsheets for data analysis and reporting.
• Utilize the WrenAI Metrics Library to establish standardized KPIs.
• Link spreadsheets to diverse data sources to enable live data updates.
• Develop automated workflows to streamline operational reporting.

Course Format

• Interactive lectures and discussions.
• Practical, hands-on exercises for building spreadsheets using WrenAI.
• Real-world exercises focusing on metrics and KPI reporting.

Customization Options for the Course

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