Understanding Agentic AI: Concepts and Capabilities Training Course

This instructor-led, live training in New Zealand (online or onsite) is aimed at advanced-level professionals who wish to leverage Agentic AI for decision-making in complex business and technical scenarios.

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

• Understand the principles of autonomous decision-making in AI.
• Design and implement AI agents that operate with minimal human intervention.
• Integrate Agentic AI into automation workflows and business systems.
• Optimize AI-driven decision processes for efficiency and scalability.
• Ensure compliance, security, and ethical considerations in AI autonomy.

Agentic AI for Business Automation is a hands-on course designed to teach participants how to design, integrate, and scale AI-driven agents for real-world business processes. The course focuses on mapping automation opportunities, integrating tools, and building practical use cases across customer service, supply chain, and marketing workflows.

This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to implement AI-powered automation using no-code, low-code, and Python-based approaches.

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

• Identify key areas where agentic AI can drive process efficiency and innovation.
• Map workflows suitable for AI agent integration.
• Implement automation through APIs and orchestration tools.
• Integrate AI models into real business scenarios with measurable impact.
• Develop governance and monitoring structures for AI-driven operations.

Course Format

• Interactive lectures and practical demonstrations.
• Hands-on exercises and guided projects.
• Live implementation in a sandbox automation environment.

Course Customisation Options

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

This instructor-led, live training in New Zealand (available online or on-site) is designed for advanced-level professionals seeking to harness Agentic AI for enterprise-scale automation and strategic AI adoption.

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

• Grasp the role of Agentic AI within enterprise applications.
• Integrate autonomous AI agents with enterprise systems.
• Optimise AI-driven workflows for scalability and efficiency.
• Ensure compliance, security, and governance in AI automation.
• Develop AI-driven business strategies to support digital transformation.

Agentic AI represents an emerging class of systems capable of autonomous decision-making, task execution, and workflow orchestration.

This instructor-led, live training (available online or on-site) is designed for intermediate-level professionals seeking to understand how agentic AI will reshape organisational workflows, talent strategies, and job design.

Upon completing the course, participants will be able to:

• Evaluate the capabilities and limitations of agentic AI in enterprise settings.
• Identify opportunities for task automation, augmentation, and redesign.
• Assess workforce implications and develop responsible adoption strategies.
• Plan governance frameworks for safe, transparent, and compliant AI deployment.

Course Format

• Interactive lectures and discussions.
• Practical exercises and scenario-based analysis.
• Hands-on exploration of agentic workflows in a guided environment.

Course Customisation Options

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

Agentic AI is an approach where AI systems plan, reason, and take tool-using actions to accomplish goals within defined constraints.

This instructor-led, live training (online or onsite) is aimed at intermediate-level healthcare and data teams who wish to design, evaluate, and govern agentic AI solutions for clinical and operational use cases.

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

• Explain agentic AI concepts and constraints in healthcare contexts.
• Design safe agent workflows with planning, memory, and tool usage.
• Build retrieval-augmented agents over clinical documents and knowledge bases.
• Evaluate, monitor, and govern agent behaviour with guardrails and human-in-the-loop controls.

Format of the Course

• Interactive lecture and facilitated discussion.
• Guided labs and code walkthroughs in a sandbox environment.
• Scenario-based exercises on safety, evaluation, and governance.

Course Customisation Options

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

WrenAI is an AI-powered 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 on-site) 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 organisations.

Course Format

• Interactive lectures and discussions.
• Hands-on labs focused on governance and security configurations.
• Practical exercises simulating enterprise rollout scenarios.

Course Customisation Options

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

WrenAI enables organisations to move beyond static dashboards toward conversational analytics and embedded generative BI. This transition requires careful adoption planning, migration of assets, and effective change management practices.

This instructor-led, live training (online or onsite) is aimed at intermediate-level BI and data platform professionals who wish to modernise legacy BI systems with WrenAI.

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

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

Format of the Course

• Interactive lecture and discussion.
• Hands-on exercises with migration and adoption planning.
• Practical labs on conversational analytics and embedded GenBI.

Course Customisation Options

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

WrenAI enables 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 behaviour 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 Customisation Options

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

The WrenAI API provides a powerful interface for generating SQL queries from natural language, developing custom applications, and integrating charts into internal platforms.

This instructor-led, live training (available online or on-site) is designed for intermediate-level engineers who want to leverage the WrenAI API for practical use cases, including SQL generation, data visualisation, and application integration.

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

• Authenticate and connect 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 discussion sessions.
• Hands-on exercises involving API calls and integrations.
• Practical projects that connect applications, charts, and data pipelines.

Course Customisation Options

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

WrenAI Cloud is a modern platform for connecting data sources, modelling data, and building interactive dashboards.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level data professionals who wish to learn how to set up WrenAI Cloud, model data, and visualise 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 visualisation.

Course Customisation Options

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

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 on-site) is designed for intermediate to advanced-level finance professionals seeking to leverage WrenAI to build compliant financial data models and dashboards that support strategic decision-making and risk management.

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

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

Course Format

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

Course Customisation Options

• To request a customised version of this training, please contact us to arrange.

WrenAI is an open-source generative BI tool that enables natural language to SQL conversion and semantic data modelling.

This instructor-led, live training (online or on-site) 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.
• Optimise 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.

Course Format

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

Course Customisation Options

• To request a customised training session 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 standardised 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 Customisation Options

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

WrenAI empowers SaaS providers to embed generative business intelligence (GenBI) directly into 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.

This instructor-led, live training (available online or on-site) 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 within SaaS environments.

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 full branding and customisation.
• Design secure and scalable multi-tenant deployments.
• Monitor usage, optimise performance, and ensure compliance in SaaS environments.

Format of the Course

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

Course Customisation Options

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

WrenAI Spreadsheets and the Metrics Library enable rapid reporting through AI-driven spreadsheet workflows and a comprehensive collection of pre-built, cross-platform business metrics.

This instructor-led, live training (available online or on-site) is designed for operations professionals at beginner to intermediate levels who aim to accelerate their reporting and analysis capabilities using WrenAI Spreadsheets and the Metrics Library.

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

• Construct AI-powered spreadsheets for data analysis and reporting.
• Utilise the WrenAI Metrics Library for standardised KPIs.
• Connect spreadsheets to multiple data sources to enable live updates.
• Develop automated workflows to streamline operational reporting.

Course Format

• Interactive lectures and discussions.
• Hands-on spreadsheet development using WrenAI.
• Practical exercises focused on metrics and KPI reporting.

Course Customisation Options

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