Agentic AI Engineering with Python — Build Autonomous Agents Training Course

Google Antigravity is an agentic development environment designed 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 a sophisticated framework designed for experimenting with long-lived agents and emergent interactive behaviours.

This instructor-led, live training (available online or onsite) is tailored for advanced-level professionals seeking to design, analyse, and optimise agents capable of retaining memories, improving through feedback, and evolving over extended operational horizons.

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

• Design long-term memory structures for agent persistence.
• Implement effective feedback loops to shape agent behaviour.
• 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 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 for constructing agents that can interact 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 completing the training, participants will be able to:

• Create agents that interact with web applications within 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 connect data, model insights, and generate dashboards. In enterprise settings, strong governance and security are essential to ensure safe and compliant adoption.

This instructor-led, live training (available online or onsite) targets advanced-level enterprise professionals looking 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 organisations.

Format of the Course

• Interactive lecture and discussion.
• Hands-on labs with governance and security configurations.
• Practical exercises simulating enterprise rollout scenarios.

Course Customisation Options

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

WrenAI empowers organisations to move beyond static dashboards towards conversational analytics and embedded generative BI. This shift necessitates meticulous adoption planning, asset migration, and robust change management practices.

This instructor-led, live training (available online or 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:

• Evaluate legacy BI environments and pinpoint modernisation opportunities.
• Plan and execute migrations from static dashboards to WrenAI.
• Embrace conversational analytics and embedded GenBI capabilities.
• Lead organisational change management efforts for BI modernisation.

Format of the Course

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

Course Customisation Options

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

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

This instructor-led training session, available both online and onsite, is tailored for advanced data and analytics professionals seeking to assess query precision, implement prompt tuning strategies, and deploy observability practices for monitoring WrenAI within live production environments.

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

• Assess the precision and dependability of Natural Language to SQL outputs.
• Apply prompt tuning methodologies to enhance system performance.
• Track data drift and query patterns over time.
• Equip WrenAI with logging and observability frameworks.

Course Format

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

Customisation Options

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

The WrenAI API provides a robust interface for converting natural language into SQL queries, constructing bespoke applications, and embedding charts within internal platforms.

This instructor-led, live training (available online or onsite) is designed for intermediate-level engineers looking to apply the WrenAI API in practical scenarios, such as SQL generation, visualisation, and application integration.

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

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

Course Format

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

Course Customization Options

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

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

This instructor-led, live training session (available online or on-site) is tailored for data professionals at beginner to intermediate levels who want to master the setup of WrenAI Cloud, data modelling, and visualisation of insights through dashboards.

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

• Setting up and configuring WrenAI Cloud environments.
• Linking WrenAI Cloud to a variety of data sources.
• Modelling data and defining relationships for analytical purposes.
• Creating interactive dashboards to derive business insights.

Course Format

• Interactive lectures and discussions.
• Hands-on experience with cloud platform configuration and data modelling.
• Practical exercises focusing on dashboard creation and visualisation.

Course Customisation Options

• To arrange bespoke training for this course, please get in touch with us.

WrenAI empowers finance teams to model key performance indicators (KPIs), integrate standardised metrics, and design 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 who wish to use 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 Customisation Options

• To request a customised 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 within their customer-facing products. This course equips SaaS teams with the practical skills needed to integrate WrenAI 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 SaaS product leaders, data engineers, and full-stack developers aiming to deploy WrenAI as an embedded analytics solution in 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, including branding and customisation.
• Design secure and scalable multi-tenant deployments.
• Monitor usage, optimise performance, and ensure compliance within SaaS environments.

Format of the Course

• Interactive lecture and discussion.
• Hands-on labs using the WrenAI Embedded API.
• Workshop: design and deploy a white-label analytics feature for a SaaS use case.

Course Customisation Options

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

WrenAI Spreadsheets and the Metrics Library facilitate rapid reporting via AI-driven spreadsheet workflows and a repository of pre-built, cross-platform business metrics.

This instructor-led training session, available either online or onsite, is designed for operational professionals at beginner to intermediate levels who aim to accelerate their reporting and analytical processes using WrenAI Spreadsheets and the Metrics Library.

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

• Construct AI-powered spreadsheets for data analysis and reporting.
• Utilise the WrenAI Metrics Library to establish standardised 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 exercises in building spreadsheets with WrenAI.
• Hands-on practice with metrics and KPI reporting.

Customisation Options

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