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

Google Antigravity serves as an agentic development environment for creating autonomous agents that plan, reason, code, and act via Gemini 3's multimodal capabilities.

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

Upon completing this training, participants will be able to:

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

Course Format

• 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 behaviours or custom integrations, please contact us to tailor the program.

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

This instructor-led training session, available either online or on-site, targets advanced-level professionals eager to design, analyze, and optimize agents that can retain memories, improve via feedback, and evolve across extended operational periods.

After completing this course, participants will acquire the ability to:

• Architect long-term memory structures to ensure agent persistence.
• Deploy effective feedback loops to guide agent behavior.
• Assess learning progressions and monitor model drift.
• Integrate memory mechanisms into complex multi-agent ecosystems.

Course Format

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

Customization Options

• Should your organization require tailored content or case-specific examples, please reach out to 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-centric development environment designed to optimize engineering workflows through intelligent automation.

This instructor-led, live training (available online or onsite) targets beginner-level professionals looking to explore the fundamentals of Antigravity and understand how agent-driven coding environments can boost productivity.

After completing this training, participants will be able to:

• Install and set up Google Antigravity.
• Navigate and comprehend both the Editor View and Manager View.
• Collaborate effectively with agents to automate basic development tasks.
• Utilize Antigravity to generate, refine, and manage project files.

Course Format

• Instructor-led explanations accompanied by real-time demonstrations.
• Guided exercises focusing on hands-on interaction with agents.
• Practical exploration of core Antigravity features within a controlled lab environment.

Course Customization Options

• If you need a tailored version of this training, please contact us to arrange a customized program.

Google Antigravity serves as a platform for developing agents capable of interacting with web applications, browser environments, and multi-surface workflows.

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

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

• Create agents that interact with web applications in a browser surface.
• Automate end-to-end workflows across 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 built to link data sources, 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 session (available online or onsite) is designed for advanced-level enterprise professionals who want 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 shift away from static dashboards towards conversational analytics and embedded generative BI. Achieving this transformation demands meticulous adoption planning, the migration of existing assets, and robust change management strategies.

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

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

• Evaluating legacy BI environments to identify opportunities for modernization.
• Planning and executing the migration from static dashboards to WrenAI.
• Implementing conversational analytics and embedded GenBI functionalities.
• 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 arrangements, please contact us directly.

WrenAI facilitates the conversion of natural language into SQL queries and provides AI-driven analytics, streamlining data access and enhancing intuitiveness. For enterprise-level deployments, maintaining high standards of quality assurance and observability is critical to guarantee accuracy, reliability, and regulatory compliance.

This instructor-led live training, available either online or on-site, is designed for senior data and analytics specialists looking to assess query precision, implement prompt optimization strategies, and deploy observability measures to oversee WrenAI in live production environments.

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

• Assess the precision and dependability of natural language to SQL translations.
• Utilize prompt tuning methods to enhance system performance.
• Track data drift and analyze query patterns over time.
• Integrate WrenAI with logging and observability infrastructures.

Course Structure

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

Customization Options

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

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

This instructor-led live training, available both online and onsite, is designed for intermediate-level engineers looking to leverage the WrenAI API for practical use cases such as 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.
• Generate and embed charts utilizing API endpoints.
• Integrate WrenAI into backend systems and internal tools.

Course Format

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

Customization Options for the Course

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

WrenAI Cloud serves as a contemporary platform for linking data sources, modeling information, and constructing interactive dashboards.

This instructor-led, live training (available online or on-site) is designed for beginner to intermediate data professionals aiming to master the setup of WrenAI Cloud, model their data, and visualize insights through dashboards.

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

• Setting up and configuring WrenAI Cloud environments.
• Establishing connections between WrenAI Cloud and 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.
• Hands-on practice with cloud platform configuration and data modeling.
• Practical exercises focused on dashboard building and visualization.

Course Customization Options

• For customized training requests, please contact us to arrange.

WrenAI empowers finance teams to model Key Performance Indicators (KPIs), integrate standardized metrics, and design dashboards that align with regulatory requirements and audit standards.

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

Upon completing this training, participants will be able to:

• Model financial KPIs and metrics in WrenAI.
• Construct dashboards that meet 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 customized training for 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.

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 embed generative business intelligence (GenBI) directly into their customer-facing products. This course equips SaaS teams with the expertise to integrate Wren AI via its Embedded API, configure white-label analytics, and manage multi-tenant deployments effectively.

Delivered as instructor-led live training (available online or onsite), this program targets intermediate to advanced SaaS product leaders, data engineers, and full-stack developers looking to deploy WrenAI as an embedded analytics solution within SaaS environments.

Upon completion 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.

Course Format

• 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.

Customization Options

• To request 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.

This instructor-led live training, available both online and onsite, is designed for beginner to intermediate operations professionals looking to speed up their reporting and analysis processes through 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 purposes.
• Utilize the WrenAI Metrics Library to establish standardized Key Performance Indicators (KPIs).
• Link spreadsheets to various data sources to ensure real-time updates.
• Develop automated workflows that streamline operational reporting.

Course Format

• Interactive lectures and discussions.
• Practical exercises in building spreadsheets using WrenAI.
• Hands-on practice with metrics and KPI reporting.

Customization Options

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