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

Google Antigravity serves as an agentic development environment tailored for constructing autonomous agents capable of planning, reasoning, coding, and executing tasks through Gemini 3's multimodal capabilities.

This instructor-led live training, available online or onsite, targets advanced technical professionals aiming 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 utilise Gemini 3 for reasoning, planning, and execution.
• Develop agents within Antigravity that can analyse tasks, write code, and interact with tools.
• Integrate Gemini-driven agents with enterprise systems and APIs.
• Optimize agent behaviour, safety, and reliability within complex environments.

Course Format

• Expert demonstrations combined with interactive discussions.
• Hands-on experimentation focused on autonomous agent development.
• Practical implementation utilising Antigravity, Gemini 3, and supporting cloud tools.

Course Customization Options

• Should your team require domain-specific agent behaviours or custom integrations, please contact us to tailor the programme.

Google Antigravity serves as a sophisticated framework for experimenting with long-lasting agents and emergent interactive dynamics.

This guided, live training session (available online or on-site) is designed for senior professionals aiming to design, analyse, and optimise agents capable of retaining memories, improving through feedback, and evolving across extended operational timelines.

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

• Design memory structures that ensure agent persistence.
• Implement robust feedback loops to influence agent behaviour.
• Assess learning trajectories and model drift.
• Integrate memory mechanisms within complex multi-agent ecosystems.

Course Format

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

Customisation Options

• Should your organisation require tailored content or specific case examples, please contact us to arrange a customised training programme.

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 crafted to streamline engineering workflows through intelligent automation.

This instructor-led, live training (available online or onsite) is designed for beginner-level practitioners keen on exploring the fundamentals of Antigravity and understanding how agent-driven coding environments boost productivity.

Upon completing this training, participants will be able to:

• Install and configure Google Antigravity.
• Navigate and comprehend 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.

Course Format

• 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 platform designed for developing agents that can interact with web applications, browser environments, and multi-surface workflows.

This instructor-led live training, available either online or onsite, is tailored for intermediate-level professionals who wish 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 different browser contexts.
• Validate and troubleshoot agent behaviour in user interface-driven environments.
• Implement cross-surface automation strategies using Antigravity.

Format of the Course

• Guided instruction supported by practical 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 specific objectives.

WrenAI is an analytics platform powered by artificial intelligence, designed to link data, model insights, and generate dashboards. In enterprise settings, robust governance and security are vital to ensure safe and compliant adoption.

This instructor-led, live training (available online or onsite) targets advanced-level enterprise professionals who wish to implement governance, compliance, and security patterns for WrenAI at scale.

Upon completing 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 organisations to transcend static dashboards by embracing conversational analytics and embedded generative BI. Successfully navigating this shift demands strategic adoption planning, seamless asset migration, and robust change management practices.

This instructor-led live training, available both online and onsite, is tailored for intermediate-level BI and data platform professionals seeking to modernise their legacy BI systems using WrenAI.

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

• Assess legacy BI environments and pinpoint opportunities for modernisation.
• Plan and implement migrations from static dashboards to WrenAI.
• Embrace conversational analytics and embedded GenBI functionalities.
• Drive organisational change management initiatives for BI modernisation.

Course Format

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

Customisation Options

• For bespoke training arrangements, please contact us.

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

This instructor-led training session, available online or on-site, targets advanced data and analytics professionals seeking to assess query accuracy, utilise prompt tuning techniques, and deploy observability measures to monitor WrenAI within live production environments.

Upon completing this training, participants will be equipped to:

• Assess the precision and dependability of natural language to SQL outputs.
• Implement prompt tuning strategies to enhance system performance.
• Track data drift and analyse query behaviour over time.
• Equip WrenAI with logging and observability frameworks.

Course Format

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

Customisation Options

• For tailored training solutions, please contact us to make arrangements.

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

This instructor-led live training, available online or on-site, targets intermediate-level engineers looking to leverage the WrenAI API for practical implementation, encompassing SQL generation, data visualisation, and application integration.

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

• Authenticating and linking applications to the WrenAI API.
• Generating SQL queries from natural language inputs.
• Creating and embedding charts via API endpoints.
• Integrating 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.

Customisation Options

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

WrenAI Cloud serves as a contemporary platform designed for linking data sources, structuring data models, and constructing interactive dashboards.

This instructor-led, live training session, available either online or on-site, is tailored for data professionals at a beginner to intermediate level who wish to master the setup of WrenAI Cloud, data modelling techniques, and the visualisation of insights through 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.
• Modelling data and defining relationships for analytical purposes.
• Creating interactive dashboards to derive business insights.

Course Format

• Interactive lectures and discussions.
• Practical hands-on experience with cloud platform configuration and data modelling.
• Practical exercises focused on dashboard construction and visualisation.

Customisation Options for the Course

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

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

This instructor-led live training, available either online or on-site, is designed for intermediate to advanced finance professionals who wish to leverage WrenAI to build compliant financial data models and dashboards that support informed 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 requirements.
• Integrate WrenAI with finance data sources to enable real-time reporting.
• Apply best practices for financial analytics and risk monitoring.

Format of the Course

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

Course Customisation Options

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

WrenAI is an open-source generative BI tool that facilitates the conversion of natural language into SQL and supports semantic data modeling.

This instructor-led, live training (available online or onsite) targets advanced data engineers, analytics engineers, and ML engineers who aim to construct robust semantic layers, refine prompts, and guarantee reliable SQL generation.

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

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

Format of the Course

• Interactive lecture and discussion.
• Numerous exercises and practical activities.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

WrenAI is a conversational analytics platform that converts natural-language queries into dependable analytics, empowering non-technical teams to generate insights rapidly and consistently.

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

Upon completing this training, participants will be able to:

• Design conversational analytics workflows that reveal reliable product insights.
• Create and maintain a standardized metrics layer for consistent reporting.
• Utilise natural-language to SQL features effectively to address product queries.
• Embed WrenAI-driven self-service dashboards and guardrails into product workflows.

Course Format

• Interactive lectures and discussions.
• 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 customized training for this course, please contact us to arrange it.

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

This instructor-led, live training (available online or onsite) targets intermediate to advanced SaaS product leaders, data engineers, and full-stack developers who wish 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 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 enable rapid reporting through 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 operational professionals seeking to accelerate their reporting and analytical processes using WrenAI Spreadsheets and the Metrics Library.

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

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

Course Format

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

Course Customization Options

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