Agentic AI in Multi-Agent Systems Training Course

Google Antigravity serves as an agentic development environment engineered to construct autonomous agents capable of planning, reasoning, coding, and executing tasks via Gemini 3’s multimodal capabilities.

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

Upon 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 analyse tasks, generate code, and interact with various tools.
• Integrate Gemini-driven agents with enterprise systems and APIs.
• Optimise agent behaviour, safety, and reliability in complex environments.

Course Format

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

Course Customization Options

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

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

This instructor-led training, available online or onsite, is designed for advanced professionals who want to design, analyze, and optimize agents capable of retaining memories, improving through feedback, and evolving over extended operational periods.

Upon completing this course, participants will be able to:

• Design memory structures that ensure agent persistence.
• Implement feedback loops to effectively guide agent behavior.
• Evaluate learning trajectories and monitor model drift.
• Integrate memory mechanisms into complex multi-agent ecosystems.

Course Format

• Expert-led discussions combined with technical demonstrations.
• Hands-on exploration through structured design challenges.
• Practical application of concepts within simulated agent environments.

Customization Options

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

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

This instructor-led, live training (available online or onsite) targets intermediate-level developers seeking to build real-world applications using autonomous AI agents within the Antigravity environment.

Upon completing this training, participants will be able to:

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

Course Format

• Blended presentations accompanied by in-depth demonstrations.
• Extensive hands-on practice and guided exercises.
• Real implementation work within the Antigravity live environment.

Course Customization Options

• To secure 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 built to streamline engineering workflows via intelligent automation.

This instructor-led live training, available either online or onsite, is designed for beginners who want to discover the basics of Antigravity and learn how agent-driven coding environments can boost productivity.

After completing this training, participants will be able to:

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

Course Format

• Instructor explanations complemented by real-time demonstrations.
• Guided exercises focusing on practical use of agents.
• Hands-on exploration of core Antigravity features within a controlled lab environment.

Course Customization Options

• For a customized version of this training, please reach out to us to arrange a tailored program.

Google Antigravity is a platform designed for creating agents that can interact with web applications, browser environments, and workflows spanning multiple surfaces.

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

After completing the training, participants will be able to:

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

Course Format

• Guided instruction complemented by practical demonstrations.
• Hands-on exercises and scenario-based activities.
• 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 connect data, model insights, and generate dashboards. Within enterprise settings, robust governance and security are vital to ensuring safe and compliant adoption.

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

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

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

Format of the Course

• Interactive lecture and discussion.
• Hands-on labs focusing on governance and security configurations.
• Practical exercises simulating enterprise rollout scenarios.

Course Customization Options

• To request 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 necessitates meticulous adoption planning, 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 aiming to modernize their legacy BI systems using WrenAI.

Upon completing this training, participants will be equipped to:

• Assess legacy BI environments and pinpoint opportunities for modernization.
• Formulate and execute migration plans from static dashboards to WrenAI.
• Implement conversational analytics and embedded GenBI functionalities.
• Drive organizational change management initiatives for BI modernization.

Course Format

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

Customization Options

• For tailored training arrangements, please reach out to us directly.

WrenAI facilitates the conversion of natural language into SQL and delivers AI-driven analytics, thereby enhancing the speed and intuitiveness of data access. For enterprise-grade applications, rigorous quality assurance and observability practices are critical to guaranteeing accuracy, reliability, and regulatory compliance.

This instructor-led, live training session, available both online and onsite, is designed for advanced data and analytics professionals aiming to assess query accuracy, implement prompt tuning, and establish observability practices for monitoring WrenAI in production environments.

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

• Assess the accuracy and reliability of outputs generated from natural language to SQL.
• Utilize prompt tuning techniques to enhance system performance.
• Monitor changes in data drift and query behaviour over time.
• Integrate WrenAI with logging and observability frameworks.

Course Delivery Format

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

Customization Options

• For bespoke training arrangements, please contact us to discuss your specific requirements.

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

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

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

• Authenticate and link applications to the WrenAI API.
• Generate SQL queries from natural language inputs.
• Build 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 to connect data sources, model data, and construct interactive dashboards.

This instructor-led, live training (available online or onsite) is tailored for beginner to intermediate-level data professionals who aim to master the setup of WrenAI Cloud, data modeling, and the visualization of insights within dashboards.

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

• Setting up and configuring WrenAI Cloud environments.
• Connecting WrenAI Cloud to various data sources.
• Modeling data and defining relationships for analytics.
• Creating interactive dashboards to derive business insights.

Course Format

• Interactive lectures and discussions.
• Hands-on cloud platform configuration and data modeling.
• Practical exercises in dashboard construction and visualization.

Course Customization Options

• To request customized training for this course, please contact us to make arrangements.

WrenAI empowers finance teams to model Key Performance Indicators (KPIs), integrate standardized metrics, and construct dashboards that adhere to regulatory standards and audit requirements.

This instructor-led live training, available both online and onsite, is designed for intermediate to advanced finance professionals seeking to leverage WrenAI to build compliant financial data models and dashboards that enhance decision-making and risk management capabilities.

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

• Model financial KPIs and metrics within WrenAI.
• Develop dashboards that comply with regulatory and audit standards.
• Connect WrenAI with financial data sources to enable real-time reporting.
• Implement best practices for financial analytics and risk monitoring.

Course Format

• Interactive lectures and discussions.
• Practical exercises involving financial data models.
• Hands-on labs focused on dashboard design and compliance reporting.

Customization Options

• For customized training arrangements, please contact us directly.

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 within their customer-facing applications. This course equips SaaS teams with the necessary 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 either online or onsite, is tailored for intermediate to advanced SaaS product leaders, data engineers, and full-stack developers looking to deploy WrenAI as an embedded analytics solution within their SaaS ecosystems.

Upon completing this training, participants will be able to:

• Integrate WrenAI into customer-facing applications using the Embedded API.
• Implement white-label conversational BI features 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 specific SaaS use case.

Course Customization Options

• For customized training arrangements for this course, please contact us to discuss your requirements.

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

This guided live training, available either online or on-site, is designed for operations professionals at beginner to intermediate levels who aim to speed up their reporting and analytical processes using 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 implement standardized Key Performance Indicators (KPIs).
• Linking spreadsheets to various data sources to ensure real-time data updates.
• Designing automated workflows to optimize operational reporting procedures.

Course Format

• Engaging lectures combined with interactive discussions.
• Practical, hands-on experience in building spreadsheets using WrenAI.
• Applied exercises focused on metrics and KPI reporting.

Customization Options

• For organizations seeking tailored training for this course, please reach out to us to make arrangements.