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

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

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

After completing this training, participants will be equipped to:

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

Course Format

• Expert demonstrations paired with interactive discussions.
• Hands-on experimentation focused on autonomous agent development.
• Practical implementation using 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 seeking 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 be able to:

• Construct long-term memory structures to ensure agent persistence.
• Implement robust feedback loops to influence and shape agent behavior.
• Evaluate learning trajectories and assess model drift.
• Integrate memory mechanisms into complex multi-agent ecosystems.

Course Format

• Expert-led discussions complemented by technical demonstrations.
• Practical exploration through structured design challenges.
• Application of learned concepts within simulated agent environments.

Customization Options

• For organizations requiring tailored content or specific case studies, please contact us to customize 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 is a platform designed for constructing agents that can interact with web applications, browser environments, and multi-surface workflows.

This instructor-led, live training, available either online or onsite, is intended for 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:

• 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 UI-driven environments.
• Implement cross-surface automation strategies using Antigravity.

Format of the Course

• Guided instruction supported by demonstrations.
• Practical, hands-on activities and scenario-based exercises.
• 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 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 transition from rigid, static dashboards to dynamic conversational analytics and embedded generative BI. Successfully navigating this shift demands meticulous adoption planning, asset migration, and robust change management strategies.

This live, instructor-led training—available both online and onsite—is designed for intermediate-level BI and data platform professionals seeking to modernize their existing BI infrastructure using WrenAI.

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

• Assess legacy BI environments and pinpoint modernization opportunities.
• Strategize and implement the migration from static dashboards to WrenAI.
• Integrate 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 solutions, please reach out to us to arrange.

WrenAI facilitates the conversion of natural language into SQL queries and provides AI-driven analytics, streamlining data access and enhancing intuitiveness. For enterprise-grade applications, robust quality assurance and observability protocols are critical to maintaining accuracy, reliability, and regulatory compliance.

This instructor-led live training, available online or onsite, is designed for advanced data and analytics professionals. Participants will learn how to assess query accuracy, implement prompt tuning strategies, and deploy observability practices to monitor WrenAI effectively in production environments.

Upon completing this training, participants will be equipped to:

• Assess the accuracy and reliability of natural language to SQL outputs.
• Utilize prompt tuning techniques to enhance system performance.
• Monitor for drift and analyze query behavior over time.
• Integrate WrenAI with logging and observability frameworks.

Course Format

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

Customization Options

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

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

This instructor-led live training, available both online and onsite, targets intermediate-level engineers aiming to leverage the WrenAI API for practical implementations, including SQL generation, data visualization, and application integration.

Upon completing this training, participants will be equipped to:

• Authenticate and link applications to the WrenAI API.
• Generate SQL queries based on natural language inputs.
• Design and embed charts using API endpoints.
• Integrate WrenAI capabilities into backend systems and internal tools.

Course Format

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

Customization Options

• To request a tailored version of this course, please contact us to arrange details.

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

This instructor-led, live training (available online or onsite) targets beginner to intermediate data professionals eager to master the setup of WrenAI Cloud, model data, and visualize 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 analytical purposes.
• Creating interactive dashboards to derive business insights.

Course Format

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

Customization Options

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

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

This instructor-led live training, available online or onsite, is designed for intermediate to advanced finance professionals seeking to utilize WrenAI for building compliant financial data models and dashboards that support decision-making and risk management.

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

• Model financial KPIs and metrics in WrenAI.
• Construct dashboards that comply with regulatory and audit requirements.
• Integrate WrenAI with finance data sources for real-time reporting.
• Apply best practices for financial analytics and risk monitoring.

Course Format

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

Course Customization Options

• To request a customized training version of 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.

Upon completion 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 serves as a conversational analytics platform that converts natural-language queries into dependable analytics, empowering non-technical teams to rapidly and consistently derive insights.

This live, instructor-led training (available online or onsite) targets intermediate product managers, analysts, and data champions looking to adopt conversational analytics and establish self-service BI capabilities using WrenAI.

Upon completion 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.
• Effectively utilize natural-language to SQL features to answer product-related questions.
• Embed WrenAI-driven self-service dashboards and guardrails into 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 into their customer-facing applications. This course provides SaaS teams with the expertise needed to integrate Wren AI via its Embedded API, set up white-label analytics, and manage multi-tenant environments 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 who aim to deploy WrenAI as an embedded analytics solution within SaaS ecosystems.

By the end 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.

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 live training (available online or onsite) is designed for beginner to intermediate operations professionals aiming to accelerate their reporting and analysis processes using WrenAI Spreadsheets and the Metrics Library.

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

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

Course Format

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

Customization Options

• To request a tailored training version of this course, please contact us to arrange details.