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

Google Antigravity is an agentic development environment designed to build autonomous agents capable of planning, reasoning, coding, and acting through Gemini 3's multimodal capabilities.

This instructor-led, live training (online or onsite) is aimed at advanced-level technical professionals who wish to design, build, and deploy autonomous agents using Gemini 3 and the Antigravity environment.

Upon finishing this training, participants will be prepared to:

• Build autonomous workflows that use Gemini 3 for reasoning, planning, and execution.
• Develop agents in Antigravity that can analyze tasks, write code, and interact with tools.
• Integrate Gemini-driven agents with enterprise systems and APIs.
• Optimize agent behavior, safety, and reliability in complex environments.

Format of the Course

• Expert demonstrations combined with interactive discussions.
• Hands-on experimentation with autonomous agent development.
• Practical implementation using 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 is an advanced framework designed for experimenting with long-lived agents and emergent interactive behaviors.

This instructor-led, live training (available online or on-site) targets advanced-level professionals who aim to design, analyse, and optimise agents capable of retaining memories, improving through feedback, and evolving over extended operational periods.

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

• Design long-term memory structures to ensure agent persistence.
• Implement effective feedback loops to shape agent behaviour.
• Evaluate learning trajectories 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.
• Practical application of concepts within simulated agent environments.

Course Customisation Options

• If your organisation 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 comprehensive platform designed for constructing agents that can effectively interact with web applications, browser environments, and multi-surface workflows.

This instructor-led, live training session—available both online and onsite—is tailored for intermediate-level professionals aiming to build, automate, and test browser-based workflows using Google Antigravity.

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

• Develop agents capable of interacting with web applications through browser interfaces.
• Automate end-to-end workflows across various browser contexts.
• Validate and troubleshoot agent behavior within UI-driven environments.
• Deploy cross-surface automation strategies utilizing Antigravity.

Training Format

• Guided instruction complemented 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 customize the course content to align with your specific goals.

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 (available online or on-site) is tailored for advanced-level enterprise professionals who aim 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 within WrenAI.
• Apply auditability and monitoring practices to meet compliance requirements.
• Configure secure environments with enterprise-grade controls.
• Safely deploy WrenAI across large-scale organisations.

Course Format

• Interactive lectures and group discussions.
• Hands-on labs focused on governance and security configurations.
• Practical exercises simulating real-world enterprise deployment scenarios.

Course Customisation Options

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

WrenAI empowers organisations to move beyond static dashboards toward conversational analytics and embedded generative BI. This transition demands careful adoption planning, asset migration, and effective change management practices.

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

By the end of this training, participants will be able to:

• Evaluate legacy BI environments and identify modernisation opportunities.
• Plan and execute migrations from static dashboards to WrenAI.
• Adopt conversational analytics and embedded GenBI capabilities.
• Lead organisational change management for BI modernisation.

Course Format

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

Course Customisation Options

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

WrenAI transforms natural language into SQL and powers AI-driven analytics, making data access more intuitive and rapid. For enterprise deployments, rigorous quality assurance and observability standards are vital to guarantee accuracy, reliability, and regulatory compliance.

This live, instructor-led training (available online or onsite) is designed for advanced data and analytics professionals who aim to assess query precision, optimize prompts, and establish observability protocols for monitoring WrenAI in production environments.

Upon completing this training, participants will be equipped to:

• Assess the precision and dependability of Natural Language to SQL outputs.
• Implement prompt tuning strategies to enhance system performance.
• Track performance drift and query patterns over time.
• Equip WrenAI with logging and observability frameworks.

Course Structure

• Engaging lectures and interactive discussions.
• Practical exercises focused on evaluation and tuning techniques.
• Hands-on labs covering observability and monitoring integrations.

Customization Options

• To arrange a tailored training session for this course, please reach out to us.

The WrenAI API serves as a robust interface designed to convert natural language into SQL queries, facilitate the creation of custom applications, and embed visual charts within internal platforms.

This instructor-led training, available both online and on-site, is designed for intermediate-level engineers looking to leverage the WrenAI API for practical use cases, such as generating SQL, visualizing data, and integrating applications.

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.
• Practical exercises involving API calls and integrations.
• Real-world projects that connect applications, charts, and data pipelines.

Customization Options

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

WrenAI Cloud is a contemporary platform designed for linking data sources, structuring data, and constructing interactive dashboards.

This instructor-led, live training session, available either online or onsite, targets beginner to intermediate data professionals eager to master setting up WrenAI Cloud, modeling data, and visualizing insights through dashboards.

Upon completing this training, participants will be capable of:

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

Format of the Course

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

Course Customization Options

• For a customized training version of this course, please contact us to arrange.

WrenAI enables finance teams 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 on-site) is designed for intermediate to advanced-level finance professionals who wish 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 using WrenAI.
• Develop dashboards aligned with regulatory and audit requirements.
• Integrate WrenAI with finance data sources for real-time reporting.
• Apply best practices in financial analytics and risk monitoring.

Course Format

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

Course Customization Options

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

WrenAI is an open-source generative BI tool that facilitates natural language to SQL conversion and semantic data modeling.

This instructor-led, live training (available online or onsite) is designed for advanced data engineers, analytics engineers, and ML engineers aiming to build robust semantic layers, tune prompts, and ensure reliable SQL generation.

Upon completing this training, participants will be able to:

• Implement semantic models to establish consistent metric definitions across teams.
• Optimize text-to-SQL performance for enhanced accuracy and scalability.
• Configure and enforce guardrails to prevent invalid or risky queries.
• Integrate WrenAI OSS into data pipelines and analytics workflows.

Course Format

• Interactive lectures and discussions.
• Numerous exercises and practical sessions.
• 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 seamlessly integrate generative business intelligence (GenBI) directly into their customer-facing applications. This course provides SaaS teams with the essential skills to connect 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 aiming to deploy WrenAI as an embedded analytics solution within SaaS environments.

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

• Integrating WrenAI via the Embedded API for customer-facing applications.
• Implementing white-label conversational BI with tailored branding and customization.
• Designing secure and scalable multi-tenant deployments.
• Monitoring usage, optimizing performance, and ensuring compliance in 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

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

WrenAI Spreadsheets and Metrics Library enable fast reporting through AI-powered spreadsheet workflows and a library of pre-built, cross-platform business metrics.

This instructor-led, live training (available online or on-site) is designed for beginner to intermediate-level operations professionals who aim to accelerate reporting and analysis using WrenAI Spreadsheets and the Metrics Library.

By the end of this training, participants will be able to:

• Build AI-powered spreadsheets for data analysis and reporting.
• Leverage the WrenAI Metrics Library for standardized KPIs.
• Connect spreadsheets to multiple data sources for live updates.
• Create automated workflows to streamline operational reporting.

Course Format

• Interactive lectures and group discussions.
• Hands-on spreadsheet building using WrenAI.
• Practical exercises focused on metrics and KPI reporting.

Customization Options

• To request a customized training session for this course, please contact us to arrange.