Python for Autonomous Agents: Tooling, SDKs & Orchestration Training Course

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

This live, instructor-led training (available online or onsite) targets advanced technical professionals aiming 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 utilising 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.
• Enhance agent behaviour, safety, and reliability within complex environments.

Course Format

• Expert demonstrations paired with interactive discussions.
• Hands-on experimentation in 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 is a sophisticated framework designed for experimenting with long-lived agents and emergent interactive behaviors.

This instructor-led live training, available both online and onsite, targets advanced professionals seeking to design, analyze, and optimise agents that retain memories, improve via feedback, and evolve over extended operational periods.

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

• Design memory structures for long-term agent persistence.
• Implement effective feedback loops to guide agent behavior.
• Evaluate learning trajectories and 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.

Course Customization Options

• If your organization requires tailored content or case-specific examples, please contact us to customise 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 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 constructing agents capable of interacting with web applications, browser environments, and workflows spanning multiple surfaces.

This instructor-led training session, 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 achieve the following capabilities:

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

Course Format

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

Course Customization Options

• For customized training needs, please contact us 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 move beyond static dashboards, embracing conversational analytics and embedded generative BI. This shift demands meticulous adoption planning, the migration of existing assets, and robust change management strategies.

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

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

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

Course Format

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

Course Customization Options

• For customized training requests regarding this course, please contact us to arrange details.

WrenAI facilitates the conversion of natural language into SQL and supports AI-driven analytics, enabling faster and more intuitive data access. For enterprise environments, rigorous quality assurance and observability practices are critical to guaranteeing accuracy, reliability, and regulatory compliance.

This instructor-led, live training (available online or onsite) is designed for advanced data and analytics professionals who wish to assess query accuracy, apply prompt tuning strategies, and implement observability practices to monitor WrenAI in 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 tuning techniques to enhance system performance.
• Monitoring for drift and analysing query behaviour over time.
• Integrating WrenAI with logging and observability frameworks.

Course Format

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

Customisation Options

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

The WrenAI API offers a robust interface for translating natural language into SQL queries, constructing tailored applications, and embedding charts directly into internal platforms.

This instructor-led live training, available online or onsite, is designed for intermediate engineers aiming to leverage the WrenAI API for practical use cases, including SQL generation, data visualization, and application integration.

Upon completion of this course, 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.
• Practical exercises involving API calls and integrations.
• Real-world projects connecting applications, visualizations, and data pipelines.

Customization Options

• For customized training tailored to your needs, please contact us to arrange a session.

WrenAI Cloud offers a contemporary platform designed to connect data sources, model data, and construct interactive dashboards.

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

Upon completing this training, participants will be capable of:

• Setting up and configuring WrenAI Cloud environments.
• Linking WrenAI Cloud to various data sources.
• Modelling data and defining relationships for analytical purposes.
• Developing interactive dashboards to derive business insights.

Course Format

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

Customization Options

• For tailored training on this course, please get in touch to arrange your requirements.

WrenAI equips finance teams with the capabilities to model Key Performance Indicators (KPIs), integrate standardized metrics, and design dashboards that adhere to regulatory requirements and audit standards.

This instructor-led live training, available online or onsite, targets intermediate to advanced finance professionals seeking to leverage WrenAI for constructing compliant financial data models and dashboards that facilitate decision-making and risk management.

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

• Model financial KPIs and metrics within WrenAI.
• Construct dashboards that align with regulatory and audit requirements.
• Integrate WrenAI with finance data sources to enable real-time reporting.
• Apply 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.

Course Customization Options

• To request 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 within their customer-facing applications. This course equips SaaS teams with the 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 online or onsite) is designed for intermediate to advanced SaaS product leaders, data engineers, and full-stack developers looking to implement WrenAI as an embedded analytics solution within their SaaS ecosystems.

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

• Integrate WrenAI using the Embedded API for customer-facing applications.
• Implement white-label conversational BI with 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.

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 training session, available online or onsite, targets beginner to intermediate operations professionals looking to accelerate their reporting and analysis capabilities using WrenAI Spreadsheets and the Metrics Library.

Upon completing 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 Key Performance Indicators (KPIs).
• Linking spreadsheets to various data sources to ensure real-time updates.
• Designing automated workflows to streamline operational reporting processes.

Course Format

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

Course Customization Options

• For those interested in requesting a tailored training for this course, please contact us to arrange the details.