No-Code AI Automation (Make + AI Agents) Training Course

This instructor-led, live training in Australia (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.

This instructor-led, live training in Australia (online or onsite) is aimed at beginner-level professionals who wish to understand the fundamental principles of Agentic AI, its capabilities, and its potential impact on industries.

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

• Understand the core principles of Agentic AI.
• Differentiate between traditional AI and autonomous AI agents.
• Explore real-world applications of Agentic AI in various industries.
• Assess the benefits and challenges of deploying autonomous AI systems.
• Analyse the ethical and security considerations of Agentic AI.

This hands-on course on Agentic AI for Business Automation equips participants with the skills to design, integrate, and scale AI-driven agents for real-world business processes. The curriculum focuses on identifying automation opportunities, connecting various tools, and constructing practical use cases across customer service, supply chain, and marketing workflows.

Delivered as instructor-led live training (available online or onsite), this program targets intermediate-level professionals aiming to implement AI-powered automation using no-code, low-code, and Python-based approaches.

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

• Pinpointing key areas where agentic AI can enhance process efficiency and drive innovation.
• Mapping workflows that are well-suited for AI agent integration.
• Implementing automation through APIs and orchestration tools.
• Integrating AI models into real business scenarios to deliver measurable impact.
• Establishing governance and monitoring frameworks for AI-driven operations.

Course Format

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

Course Customisation Options

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

This instructor-led, live training in Australia (online or onsite) is aimed at advanced-level professionals who wish to leverage Agentic AI for enterprise-scale automation and strategic AI adoption.

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

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

Agentic AI represents a new generation of systems designed for autonomous decision-making, task execution, and workflow orchestration.

This instructor-led training session, available either online or on-site, is tailored for intermediate-level professionals keen to grasp how agentic AI will transform organizational workflows, talent strategies, and job design.

Upon completing the course, participants will be equipped to:

• Assess the capabilities and limitations of agentic AI within enterprise environments.
• Identify opportunities for automating, augmenting, and redesigning tasks.
• Evaluate workforce implications and formulate responsible adoption strategies.
• Develop governance frameworks to ensure 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 setting.

Course Customization Options

• To request customized training for this course, please get in touch with us to arrange it.

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.