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

Google Antigravity serves as an agentic development platform engineered to create autonomous agents capable of planning, reasoning, coding, and executing actions via the multimodal capabilities of Gemini 3.

This live training, facilitated by an instructor (available online or on-site), is designed for advanced technical professionals seeking to design, build, and deploy autonomous agents leveraging Gemini 3 and the Antigravity environment.

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

• Construct autonomous workflows that utilize Gemini 3 for reasoning, planning, and execution.
• Develop agents within Antigravity capable of analyzing tasks, writing code, and interacting with various tools.
• Integrate Gemini-powered agents into enterprise systems and APIs.
• Enhance agent behavior, safety, and reliability within complex environments.

Course Format

• Expert-led demonstrations complemented by interactive discussions.
• Hands-on experimentation focused on autonomous agent development.
• Practical implementation utilizing Antigravity, Gemini 3, and supporting cloud tools.

Course Customization Options

• For teams requiring domain-specific agent behaviors or custom integrations, please reach out to us to tailor the program.

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

This instructor-led training session, available online or onsite, targets advanced professionals who aim 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 acquire the skills to:

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

Course Format

• Expert-led discussions accompanied by technical demonstrations.
• Hands-on exploration via structured design challenges.
• Application of concepts within simulated agent environments.

Customization Options

• Organizations requiring tailored content or case-specific examples are encouraged to contact us to customize this training.

Antigravity serves as a specialized development platform aimed at constructing AI-driven, agent-centric applications.

This instructor-led live training, available in both online and onsite formats, targets intermediate developers looking to build practical solutions using autonomous AI agents within the Antigravity ecosystem.

Upon completion, participants will be able to:

• Create applications that leverage autonomous and coordinated AI agents.
• Utilize the Antigravity IDE, editor, terminal, and browser for comprehensive development workflows.
• Orchestrate multi-agent workflows using the Agent Manager.
• Seamlessly integrate agent capabilities into production-grade software systems.

Course Format

• A blend of conceptual presentations and in-depth technical demonstrations.
• Extensive hands-on practice supported by guided exercises.
• Real-world implementation tasks conducted within the live Antigravity environment.

Customization Options

• For content tailored to your specific development stack, please reach out to us to arrange a customized training session.

Google Antigravity stands as an agent-centric development platform engineered to optimize engineering workflows via intelligent automation.

This session, led by an instructor and available either online or at your location, targets novice practitioners eager to delve into the basics of Antigravity and grasp how agent-enabled coding environments can boost productivity.

After finishing this training, attendees will gain the ability to:

• Set up and configure Google Antigravity.
• Navigate and comprehend both the Editor View and Manager View interfaces.
• Collaborate efficiently with agents to automate basic development activities.
• Leverage Antigravity to create, refine, and oversee project files.

Course Structure

• Explanations from the instructor backed by live demonstrations.
• Structured exercises emphasizing hands-on interaction with agents.
• Practical investigation of essential Antigravity features within a secure lab setting.

Customization Opportunities

• For a version of this training tailored to your specific needs, please reach out to us to organize a bespoke program.

Google Antigravity serves as a platform designed for developing agents that can interact with web applications, browser environments, and multi-surface workflows.

This instructor-led live training (available online or onsite) targets intermediate-level professionals aiming to build, automate, and test browser-based workflows using Google Antigravity.

After completing the training, participants will be able to:

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

Course Format

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

Course Customization Options

• For tailored training needs, please contact us to adapt the course to your specific objectives.

WrenAI is an AI-driven analytics platform engineered to connect data, model insights, and produce dashboards. In enterprise settings, robust governance and security are essential for ensuring safe and compliant adoption.

This instructor-led, live training (available online or onsite) is designed for 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 able to:

• Design and implement permissioning models within 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 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 shift from static dashboards to conversational analytics and embedded generative BI. This evolution demands strategic adoption planning, thorough asset migration, and robust change management practices.

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 capable of:

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

Course Format

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

Customization Options

• For customized training requests, please reach out to us to make arrangements.

WrenAI streamlines data access by converting natural language into SQL and powering AI-driven analytics, making interactions more intuitive and efficient. For enterprise environments, robust quality assurance and observability are critical to guaranteeing the accuracy, reliability, and compliance of these systems.

This instructor-led live training, available both online and onsite, is designed for advanced data and analytics professionals seeking to evaluate query precision, refine prompt strategies, and deploy observability practices to monitor WrenAI in production environments.

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

• Assess the precision and reliability of natural language to SQL conversions.
• Utilize prompt tuning techniques to enhance system performance.
• Track data drift and analyze query patterns over time.
• Implement logging and observability frameworks within WrenAI.

Training Format

• Engaging lectures paired with interactive discussions.
• Practical exercises focusing on evaluation and tuning methodologies.
• Hands-on labs dedicated to observability and monitoring integrations.

Customization Opportunities

• For tailored training solutions, please reach out to us to coordinate your specific needs.

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

This instructor-led live training, available both online and onsite, is designed for intermediate-level engineers looking to apply the WrenAI API in practical scenarios, such as generating SQL code, creating visualizations, and integrating with applications.

Upon completing this training, participants will be equipped to:

• Authenticate and link applications to the WrenAI API.
• Produce SQL queries from natural language inputs.
• Create and embed charts using specific API endpoints.
• Seamlessly integrate WrenAI into backend systems and internal tools.

Course Format

• Engaging lectures and discussions.
• Practical exercises involving API calls and integrations.
• Hands-on projects that connect applications, charts, and data pipelines.

Customization Options

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

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

This instructor-led, live training, available either online or on-site, is tailored for data professionals ranging from beginner to intermediate levels who aim to master the setup of WrenAI Cloud, data modeling techniques, and the visualization of insights through dashboards.

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

• Configure and set up WrenAI Cloud environments.
• Establish connections between WrenAI Cloud and various data sources.
• Model data and define relationships essential for analytics.
• Develop interactive dashboards to derive business insights.

Course Format

• Engaging lectures and group discussions.
• Practical configuration of the cloud platform and data modeling exercises.
• Hands-on practice in dashboard creation and visualization techniques.

Customization Options

• To request tailored training for this course, please contact us for arrangement.

WrenAI empowers finance teams to model KPIs, consolidate standardized metrics, and create dashboards that adhere to regulatory standards and audit requirements.

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

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

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

Course Format

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

Customization Options

• To request a customized version of this course, please contact us to arrange your schedule.

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 seamlessly integrate generative business intelligence (GenBI) directly into their customer-facing applications. This course is designed to equip SaaS teams with the expertise needed to utilize the Wren AI Embedded API, configure white-label analytics solutions, and effectively manage multi-tenant environments.

This instructor-led, live training—available both online and onsite—targets intermediate to advanced SaaS product leaders, data engineers, and full-stack developers aiming to deploy WrenAI as an embedded analytics solution within their SaaS ecosystems.

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

• Integrating WrenAI via the Embedded API for applications directed at customers.
• Implementing white-label conversational BI with tailored branding and customization options.
• Architecting secure and scalable multi-tenant deployments.
• Monitoring usage metrics, optimizing performance, and ensuring compliance within SaaS environments.

Course Format

• Interactive lectures and group discussions.
• Practical labs focusing on the WrenAI Embedded API.
• Workshop session: Design and deploy a white-label analytics feature tailored to a specific SaaS use case.

Customization Options for the Course

• For customized training arrangements, please contact us to discuss your specific needs.

WrenAI Spreadsheets and the 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 on-site, is designed for beginner to intermediate operations professionals seeking to expedite reporting and analysis through WrenAI Spreadsheets and the Metrics Library.

Upon completing this training, participants will be able to:

• Develop AI-enhanced spreadsheets for data analysis and reporting.
• Utilize the WrenAI Metrics Library to implement standardized KPIs.
• Link spreadsheets to various data sources to ensure real-time updates.
• Establish automated workflows to streamline operational reporting processes.

Course Format

• Interactive lectures and discussions.
• Practical, hands-on spreadsheet creation using WrenAI.
• Applied exercises focused on metrics and KPI reporting.

Customization Options

• To arrange customized training for this course, please contact us directly.