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 act by leveraging the multimodal capabilities of Gemini 3.

This instructor-led, live training (available online or onsite) is designed for advanced technical professionals who aim to design, build, and deploy autonomous agents using Gemini 3 within the Antigravity environment.

Upon completing this training, participants will be equipped to:

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

Course Format

• Expert demonstrations paired with interactive discussions.
• Hands-on experimentation focused on autonomous agent development.
• Practical implementation using Antigravity, Gemini 3, and supporting cloud tools.

Course Customisation Options

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

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

This instructor-led training session, available both online and onsite, is tailored for advanced professionals aiming to design, analyze, and optimize agents that can retain memories, enhance performance through feedback, and evolve over extended operational periods.

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

• Design memory structures that ensure agent persistence.
• Implement effective feedback loops to guide agent behavior.
• Assess learning progress and monitor 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

• For organizations requiring tailored content or specific case studies, please contact us to customize this training.

Antigravity is a development platform specifically designed for constructing AI-driven, agent-first applications.

This instructor-led live training, available either online or onsite, is tailored for intermediate-level developers seeking to build practical applications using autonomous AI agents within the Antigravity ecosystem.

Upon completing this training, participants will be able to:

• Create applications that depend on autonomous and coordinated AI agents.
• Utilize the Antigravity IDE, editor, terminal, and browser for comprehensive, end-to-end development.
• Manage multi-agent workflows effectively using the Agent Manager.
• Integrate agent capabilities into robust, production-grade software systems.

Format of the Course

• A blend of presentations with detailed, in-depth demonstrations.
• Extensive hands-on practice supported by guided exercises.
• Real-world implementation work conducted within the Antigravity live environment.

Course Customization Options

• For tailored content aligned with 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 designed for developing agents that interact with web applications, browser environments, and multi-surface workflows.

This instructor-led, live training (available online or onsite) targets intermediate-level professionals who want 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.

Format of the Course

• 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 engineered to link data, model insights, and produce dashboards. Within enterprise settings, strong governance and security measures are essential to guarantee safe and compliant implementation.

This instructor-led, live training (available online or onsite) targets advanced-level enterprise professionals seeking to apply governance, compliance, and security patterns for WrenAI at scale.

Upon completing this training, participants will be able to:

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

Format of the Course

• Interactive lecture and discussion.
• Hands-on labs focused on 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 shift demands meticulous adoption planning, asset migration, and robust change management strategies.

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 capable of:

• Assessing legacy BI environments to pinpoint modernization opportunities.
• Planning and executing the migration from static dashboards to WrenAI.
• Implementing conversational analytics and embedded GenBI functionalities.
• Driving organizational change management for BI modernization efforts.

Course Format

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

Course Customization Options

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

WrenAI facilitates the conversion of natural language into SQL queries and supports AI-driven analytics, thereby making data access more intuitive and efficient. For enterprise applications, rigorous quality assurance and observability protocols are critical to guaranteeing accuracy, reliability, and regulatory compliance.

This instructor-led, live training session (available online or onsite) is designed for advanced data and analytics professionals seeking to evaluate query precision, implement prompt tuning strategies, and establish observability practices for monitoring WrenAI in live production environments.

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

• Assessing the accuracy and reliability of natural language to SQL conversions.
• Utilizing prompt tuning techniques to enhance system performance.
• Tracking query behavior and detecting drift over time.
• Integrating WrenAI with logging and observability frameworks.

Course Format

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

Customization Options

• For bespoke training arrangements, please contact us directly.

The WrenAI API offers a robust interface for converting natural language into SQL queries, developing bespoke applications, and embedding data visualizations into internal platforms.

This instructor-led, live training session (available online or on-site) targets intermediate-level engineers seeking to leverage the WrenAI API for practical implementations, such as 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 that connect applications, visualizations, and data pipelines.

Customization Options

• To request a tailored training session, please contact us to make arrangements.

WrenAI Cloud serves as a contemporary platform designed to link data sources, structure data models, and construct interactive dashboards.

Delivered as an instructor-led live session, available either online or at your premises, this training is tailored for data professionals at beginner to intermediate levels. It focuses on equipping participants with the skills to configure WrenAI Cloud, model their data, and visualise key insights through dashboards.

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

• Establish and configure WrenAI Cloud environments.
• Link WrenAI Cloud to various data sources.
• Model data and define analytical relationships.
• Develop interactive dashboards to drive business insights.

Course Format

• Engaging lectures and discussions.
• Practical configuration of the cloud platform and data modelling.
• Hands-on exercises focused on building dashboards and visualising data.

Course Customisation Options

• For bespoke training requirements, please get in touch with us to arrange.

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

This instructor-led, live training (available online or on-site) is designed for intermediate to advanced finance professionals looking 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 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 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 embed generative business intelligence (GenBI) directly into their customer-facing applications. This course equips SaaS teams with the necessary skills to integrate WrenAI via its Embedded API, configure white-label analytics, and manage multi-tenant deployments.

This instructor-led, live training, available either online or 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.

By the conclusion of 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.

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 combining AI-driven spreadsheet workflows with a repository of pre-built, cross-platform business metrics.

This instructor-led live training, available online or onsite, targets beginner to intermediate operational professionals seeking to accelerate reporting and analysis processes through the use of 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 purposes.
• Utilizing the WrenAI Metrics Library to establish standardized KPIs.
• Linking spreadsheets to various data sources to ensure real-time updates.
• Establishing automated workflows to streamline operational reporting tasks.

Course Format

• Interactive lectures and discussions.
• Practical sessions involving spreadsheet construction with WrenAI.
• Hands-on exercises focused on metrics and KPI reporting.

Course Customization Options

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