Agentic AI in Multi-Agent Systems Training Course

Google Antigravity serves as an agentic development environment specifically crafted to create autonomous agents capable of planning, reasoning, coding, and executing tasks through the multimodal capabilities of Gemini 3.

This instructor-led live training, available both online and onsite, is tailored for advanced technical professionals seeking to design, build, and deploy autonomous agents using Gemini 3 and the Antigravity ecosystem.

Upon completing this training, participants will be equipped to:

• Construct autonomous workflows that leverage 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 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 complementary cloud tools.

Course Customization Options

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

Google Antigravity serves as an advanced framework designed for experimenting with long-lived agents and emergent interactive behaviors.

This instructor-led training, available both online and onsite, targets advanced-level professionals seeking 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 memory structures for agent persistence.
• Implement effective feedback loops to influence agent behavior.
• Evaluate learning trajectories and model drift.
• Integrate memory mechanisms into complex multi-agent ecosystems.

Course Format

• Expert-led discussions complemented by technical demonstrations.
• Hands-on exploration through structured design challenges.
• Application of concepts within simulated agent environments.

Customization Options

• Should your organization require tailored content or case-specific examples, please contact us to arrange a customized training session.

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

This instructor-led live training, available either online or on-site, targets intermediate developers keen on constructing real-world applications using autonomous AI agents within the Antigravity ecosystem.

Upon completing this training, participants will gain the ability to:

• Build applications that leverage autonomous and coordinated AI agents.
• Utilise the Antigravity IDE, editor, terminal, and browser for end-to-end development.
• Manage multi-agent workflows via the Agent Manager.
• Integrate agent capabilities into production-grade software systems.

Format of the Course

• A blend of 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 designed for creating agents that can interact with web applications, browser environments, and workflows spanning multiple surfaces.

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

After completing the training, participants will be equipped to:

• Develop agents capable of interacting with web applications within the browser interface.
• Automate complete workflows across different browser contexts.
• Validate and resolve issues related to agent behavior in user interface-driven environments.
• Deploy cross-surface automation strategies leveraging Antigravity.

Course Format

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

Customization Options

• For tailored training needs, please reach out to us to adapt the course content to your specific objectives.

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

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

Upon completing this training, participants will be able to:

• Design and implement permissioning models within WrenAI.
• Apply auditability and monitoring practices to meet compliance requirements.
• Establish secure environments with enterprise-grade controls.
• Safely roll out WrenAI across large organisations.

Course Format

• Interactive lectures and discussions.
• Hands-on labs focused on governance and security configurations.
• Practical exercises simulating enterprise rollout scenarios.

Course Customisation Options

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

WrenAI empowers organisations to transition from static dashboards to conversational analytics and embedded generative BI. Achieving this shift demands thoughtful adoption planning, asset migration, and robust change management strategies.

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

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

• Assess legacy BI environments and pinpoint opportunities for modernisation.
• Plan and execute the migration from static dashboards to WrenAI.
• Implement conversational analytics and embedded GenBI capabilities.
• Drive organisational change management efforts for BI modernisation.

Course Format

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

Customisation Options

• For bespoke training requests, please reach out to us to make arrangements.

WrenAI facilitates the conversion of natural language into SQL and provides AI-driven analytics, streamlining and simplifying data access. For enterprise environments, robust quality assurance and observability practices are crucial to guaranteeing precision, reliability, and regulatory compliance.

This instructor-led, live training (available online or onsite) targets advanced data and analytics professionals seeking to assess query accuracy, implement prompt optimisation techniques, and deploy observability practices to monitor WrenAI within production environments.

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

• Assessing the accuracy and reliability of natural language to SQL outputs.
• Applying prompt optimisation methods to enhance system performance.
• Tracking data drift and query behaviour over time.
• Equipping WrenAI with logging and observability frameworks.

Course Format

• Interactive lectures and discussions.
• Practical exercises focusing on assessment and optimisation techniques.
• Hands-on labs covering observability and monitoring integrations.

Customisation Options

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

The WrenAI API serves as a robust interface for converting natural language into SQL queries, facilitating the creation of bespoke applications, and embedding charts directly into internal platforms.

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

Upon completing this training, participants will be equipped to:

• Authenticate and link applications to the WrenAI API.
• Generate SQL queries from natural language prompts.
• Design and embed charts using specific API endpoints.
• Integrate WrenAI solutions into backend systems and internal tools.

Course Format

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

Customisation Options

• For those seeking a tailored training experience for this course, please contact us to make arrangements.

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

This instructor-led live training, available both online and onsite, targets beginner to intermediate data professionals seeking to master the setup of WrenAI Cloud, data modelling, and the visualisation of insights within dashboards.

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

• Set up and configure WrenAI Cloud environments.
• Connect WrenAI Cloud to a variety of data sources.
• Model data and define relationships for analytical purposes.
• Create interactive dashboards to derive business insights.

Course Format

• Interactive lectures and discussions.
• Hands-on experience with cloud platform configuration and data modelling.
• Practical exercises focused on dashboard construction and visualisation.

Course Customisation Options

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

WrenAI equips finance teams with the capability to model 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-level to advanced-level finance professionals who wish to utilize 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 trustworthy analytics, empowering non-technical teams to derive insights rapidly and consistently.

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

By the conclusion of this training, participants will be equipped to:

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

Format of the Course

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

Course Customization Options

• For those seeking 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 provides SaaS teams with the necessary skills 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.

By the end 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 styling.
• 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 a customized training for this course, please contact us to arrange.

The 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 both online and onsite, is designed for beginner to intermediate operations professionals seeking to expedite their reporting and analytical processes using WrenAI Spreadsheets alongside the Metrics Library.

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

• Construct AI-enhanced spreadsheets for data analysis and reporting purposes.
• Utilise the WrenAI Metrics Library to establish standardised Key Performance Indicators (KPIs).
• Link spreadsheets to various data sources to ensure live data updates.
• Develop automated workflows to streamline operational reporting.

Course Format

• Interactive lectures and discussions.
• Practical, hands-on spreadsheet creation using WrenAI.
• Applied exercises focused on metrics and KPI reporting.

Customisation Options

• To arrange tailored training for this course, please get in touch with us.