Agentic AI Engineering with Python — Build Autonomous Agents Training Course

Google Antigravity is an agentic development environment crafted 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 training, available both online and 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 acquire the skills to:

• Design long-term memory structures for agent persistence.
• Implement effective feedback loops to shape agent behavior.
• Evaluate learning trajectories and model drift.
• Integrate memory mechanisms into complex multi-agent ecosystems.

Format of the Course

• Expert-led discussion paired 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 serves as a development platform tailored for creating AI-driven, agent-first applications.

This instructor-led live training, available online or onsite, is designed for intermediate developers looking to build real-world applications using autonomous AI agents within the Antigravity ecosystem.

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

• Develop applications powered by autonomous and coordinated AI agents.
• Utilize the Antigravity IDE, editor, terminal, and browser for comprehensive end-to-end development.
• Manage multi-agent workflows effectively using the Agent Manager.
• Integrate agent capabilities into production-grade software systems.

Course Format

• A blend of presentations with in-depth demonstrations.
• Extensive hands-on practice and guided exercises.
• Real implementation work conducted within the Antigravity live environment.

Course Customization Options

• For tailored content that aligns with your specific development stack, please contact us to arrange a customized version of this training.

Google Antigravity is an agent-centric development environment designed to streamline engineering workflows through intelligent automation.

This instructor-led, live training (online or onsite) targets 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 robust platform for developing agents that interact seamlessly with web applications, browser environments, and multi-surface workflows.

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

After completing this training, participants will be equipped to:

• Develop agents capable of interacting with web applications within a browser interface.
• Automate end-to-end workflows across various browser contexts.
• Validate and troubleshoot agent performance in UI-driven environments.
• Implement automation strategies that span multiple surfaces using Antigravity.

Course 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 bespoke training requirements, kindly reach out to us to tailor the course content to your specific objectives.

WrenAI is an AI-driven analytics platform engineered to link data, model insights, and generate dashboards. In enterprise settings, strong governance and security measures are essential to guarantee safe and compliant adoption.

This instructor-led, live training (available online or onsite) targets 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 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 static dashboards to conversational analytics and embedded generative BI. This shift demands strategic adoption planning, asset migration, and robust change management practices.

This instructor-led live training (available online or onsite) targets intermediate-level BI and data platform professionals seeking 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 functionalities.
• Drive organizational change management initiatives 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.

Course Customization Options

• For customized training arrangements for this course, please contact us.

WrenAI facilitates natural language to SQL generation and AI-powered analytics, making data access faster and more intuitive. For enterprise-grade use, quality assurance and observability practices are essential to ensure accuracy, reliability, and compliance.

This instructor-led, live training (online or onsite) is aimed at advanced-level data and analytics professionals who wish to evaluate query accuracy, apply prompt tuning, and implement observability practices for monitoring WrenAI in production.

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

• Evaluate the accuracy and reliability of NL to SQL outputs.
• Apply prompt tuning techniques to improve performance.
• Monitor drift and query behavior across time.
• Instrument WrenAI with logging and observability frameworks.

Format of the Course

• Interactive lecture and discussion.
• Hands-on exercises with evaluation and tuning techniques.
• Practical labs on observability and monitoring integrations.

Course Customization Options

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

The WrenAI API serves as a robust interface for translating natural language into SQL queries, developing bespoke applications, and embedding charts within internal platforms.

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

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

• Authenticate and link applications to the WrenAI API.
• Derive SQL queries from natural language inputs.
• Develop and embed charts using API endpoints.
• Integrate 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, charts, and data pipelines.

Course Customization Options

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

WrenAI Cloud serves as a contemporary platform that facilitates the connection of data sources, data modelling, and the creation of interactive dashboards.

This instructor-led, live training (available online or onsite) targets beginner to intermediate data professionals who wish to learn how to set up WrenAI Cloud, model data, and visualize insights in dashboards.

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

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

Format of the Course

• Interactive lecture and discussion.
• Hands-on cloud platform configuration and data modelling.
• Practical exercises in dashboard building and visualization.

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 design dashboards that comply with regulatory requirements and audit standards.

This instructor-led, live training (available online or onsite) is designed for intermediate to advanced 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 in WrenAI.
• Build dashboards aligned with regulatory and audit requirements.
• Integrate WrenAI with finance data sources for real-time reporting.
• Apply best practices for financial analytics and risk monitoring.

Format of the Course

• Interactive lecture and discussion.
• Hands-on exercises with financial data models.
• Practical labs 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 (BI) tool that facilitates the conversion of natural language into SQL and supports semantic data modelling.

This instructor-led live training, available either online or onsite, is designed for advanced data engineers, analytics engineers, and machine learning engineers who aim to build robust semantic layers, refine prompts, and guarantee reliable SQL generation.

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

• Implement semantic models to establish consistent metric definitions across teams.
• Optimize text-to-SQL performance to ensure 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.
• Ample exercises and practical sessions.
• Hands-on implementation within a live laboratory environment.

Course Customization Options

• To request customized training for this course, please contact us to make arrangements.

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 allows SaaS providers to embed generative business intelligence (GenBI) directly within their customer-facing applications. This course equips SaaS teams with the necessary skills 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-level SaaS product leaders, data engineers, and full-stack developers who aim to deploy WrenAI as an embedded analytics solution in SaaS environments.

Upon completing this training, participants will be able to:

• Integrate WrenAI using the Embedded API for customer-facing applications.
• Implement white-label conversational BI with tailored branding and customization.
• Design secure and scalable multi-tenant deployments.
• Monitor usage, optimize performance, and ensure compliance within 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 the Metrics Library facilitate rapid reporting by leveraging AI-driven spreadsheet workflows alongside a repository of pre-built, cross-platform business metrics.

Delivered as an instructor-led live training (available online or onsite), this course is designed for beginner to intermediate operations professionals aiming to expedite their reporting and analytical 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.
• Utilise the WrenAI Metrics Library to implement standardised KPIs.
• Link spreadsheets to various data sources to ensure live data updates.
• Establish 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.

Course Customization Options

• For organisations seeking a tailored version of this training, please reach out to us to make arrangements.