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

Google Antigravity is a development environment designed for building autonomous agents that can plan, reason, code, and act using Gemini 3’s multimodal capabilities.

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

Upon completing this training, participants will be equipped to:

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

Format of the Course

• Expert demonstrations paired 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 both online and onsite) is targeted at advanced-level professionals who aim to design, analyze, and optimize agents that can retain memories, improve through feedback, and evolve over extended operational periods.

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

• Develop long-term memory structures for agent persistence.
• Implement effective feedback loops to guide agent behavior.
• Assess learning trajectories and model drift.
• Integrate memory mechanisms into complex multi-agent systems.

Format of the Course

• 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 customize this training.

Antigravity is a development platform designed for building AI-driven applications that prioritize the use of autonomous agents.

This instructor-led, live training (available both online and onsite) is targeted at intermediate-level developers who aim to create practical applications using autonomous AI agents within the Antigravity environment.

After completing this training, participants will be able to:

• Develop applications that utilize autonomous and coordinated AI agents.
• Utilize the Antigravity IDE, editor, terminal, and browser for comprehensive development processes.
• Manage multi-agent workflows using the Agent Manager.
• Integrate agent functionalities into production-ready software systems.

Course Format

• A combination of detailed presentations and live demonstrations.
• Extensive hands-on practice and guided exercises.
• Practical implementation work within the Antigravity live environment.

Course Customization Options

• For content tailored to 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 can boost 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 is a platform designed for creating agents that can interact with web applications, browser environments, and multi-surface workflows.

This instructor-led, live training (available online or on-site) is targeted at intermediate-level professionals who want to build, automate, and test browser-based workflows using Google Antigravity.

Upon completing the training, participants will be able to:

• Develop agents that engage with web applications within a browser environment.
• Automate comprehensive workflows across various browser contexts.
• Validate and troubleshoot agent behavior in user interface-driven environments.
• Implement cross-surface automation strategies using Google Antigravity.

Format of the Course

• Guided instruction accompanied by demonstrations.
• Practical, hands-on activities and scenario-based exercises.
• Implementation of agent workflows in an interactive lab setting.

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 integrate data, model insights, and create dashboards. In enterprise settings, strong governance and security are essential to ensure safe and compliant deployment.

This instructor-led, live training (available online or on-site) is targeted at advanced-level enterprise professionals who aim to implement governance, compliance, and security practices 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 to ensure compliance.
• 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 deployment scenarios.

Course Customization Options

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

WrenAI empowers organizations to evolve from static dashboards to conversational analytics and embedded generative BI. This transformation necessitates thorough 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 who aim to modernize legacy BI systems using WrenAI.

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

• Assess existing BI environments and pinpoint opportunities for modernization.
• Develop and implement migration plans from static dashboards to WrenAI.
• Integrate conversational analytics and embedded GenBI capabilities.
• Guide organizational change management during BI system modernization.

Format of the Course

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

Course Customization Options

• For a tailored training experience, please contact us to arrange customization.

WrenAI facilitates the conversion of natural language into SQL queries and offers AI-driven analytics, enhancing data access speed and intuitiveness. For enterprise-level applications, it is crucial to implement quality assurance and observability practices to ensure accuracy, reliability, and compliance.

This instructor-led, live training (available both online and onsite) is designed for advanced data and analytics professionals who aim to assess query accuracy, refine prompt tuning, and establish observability practices for monitoring WrenAI in a production environment.

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

• Evaluate the precision and reliability of natural language to SQL outputs.
• Apply prompt tuning techniques to enhance performance.
• Track drift and query behavior over time.
• Integrate WrenAI with logging and observability frameworks.

Format of the Course

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

Course Customization Options

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

The WrenAI API is a robust interface designed for generating SQL queries from natural language, building custom applications, and integrating charts into internal platforms.

This instructor-led, live training (available online or on-site) is targeted at intermediate-level engineers who want to utilize the WrenAI API for practical applications such as SQL generation, data visualization, and application integration.

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

• Authenticate and connect their applications to the WrenAI API.
• Create SQL queries from natural language inputs.
• Develop and embed charts using API endpoints.
• Integrate WrenAI into backend systems and internal tools.

Format of the Course

• Interactive lectures and discussions.
• Practical exercises involving API calls and integrations.
• Real-world projects connecting applications, charts, and data pipelines.

Course Customization Options

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

WrenAI Cloud is a contemporary platform designed for integrating data sources, modeling data, and creating interactive dashboards.

This instructor-led, live training (available both online and on-site) is tailored for beginner to intermediate-level data professionals who want to learn how to set up WrenAI Cloud, model data, and visualize insights through dashboards.

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

• Set up and configure WrenAI Cloud environments.
• Connect WrenAI Cloud to various data sources.
• Model data and establish relationships for analytics.
• Create interactive dashboards for business insights.

Format of the Course

• Interactive lectures and discussions.
• Hands-on configuration of the cloud platform and data modeling.
• Practical exercises in building and visualizing dashboards.

Course Customization Options

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

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

This instructor-led, live training (available online or on-site) is designed for intermediate to advanced finance professionals who want 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:

• Create financial KPIs and metrics using WrenAI.
• Develop dashboards that align with regulatory and audit requirements.
• Integrate WrenAI with finance data sources for real-time reporting.
• Implement best practices for financial analytics and risk monitoring.

Format of the Course

• Interactive lectures and discussions.
• Hands-on exercises with financial data models.
• Practical labs focusing 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 business intelligence tool that enables the conversion of natural language into SQL and supports semantic data modeling.

This instructor-led, live training (available online or on-site) is designed for advanced-level data engineers, analytics engineers, and machine learning engineers who want to build robust semantic layers, fine-tune prompts, and ensure reliable SQL generation.

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

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

Format of the Course

• Interactive lectures and discussions.
• Numerous exercises and practice 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 transforms natural-language queries into reliable insights, enabling non-technical teams to generate and understand data quickly and consistently.

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

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

• Design conversational analytics workflows that provide reliable insights into product performance.
• Create and maintain a standardized metrics layer for consistent and accurate reporting.
• Effectively use natural-language to SQL features to answer complex product questions.
• Integrate WrenAI-driven self-service dashboards and safeguards into product workflows.

Format of the Course

• Interactive lecture and discussion sessions.
• Hands-on labs using WrenAI and sample datasets.
• Workshop: build a self-service dashboard and a set of conversational queries.

Course Customization Options

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

WrenAI empowers SaaS providers to integrate generative business intelligence (GenBI) directly into their customer-facing products. This course equips SaaS teams with the skills needed to incorporate WrenAI through its Embedded API, configure white-label analytics, and manage multi-tenant deployments effectively.

This instructor-led, live training (available both online and onsite) is designed for intermediate to advanced SaaS product leaders, data engineers, and full-stack developers who are interested in deploying WrenAI as an embedded analytics solution within SaaS environments.

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

• Integrate WrenAI into customer-facing applications using the Embedded API.
• Implement white-label conversational BI with customized branding and features.
• Design secure and scalable multi-tenant deployments.
• Monitor usage, optimize performance, and ensure compliance in SaaS environments.

Format of the Course

• 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 session for this course, please contact us to arrange.

WrenAI Spreadsheets and Metrics Library enable rapid reporting through AI-driven spreadsheet workflows and a collection of pre-built, cross-platform business metrics.

This instructor-led, live training (online or onsite) is designed for operations professionals at beginner to intermediate levels who want to speed up their reporting and analysis using WrenAI Spreadsheets and the Metrics Library.

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

• Create AI-powered spreadsheets for data analysis and reporting.
• Utilize the WrenAI Metrics Library for standardized KPIs.
• Integrate spreadsheets with multiple data sources for real-time updates.
• Develop automated workflows to enhance operational reporting efficiency.

Format of the Course

• Interactive lecture and discussion sessions.
• Hands-on experience in building spreadsheets with WrenAI.
• Practical exercises focused on metrics and KPI reporting.

Course Customization Options

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