WrenAI arrives like a quiet architect in the world of AI — lightweight, versatile, and capable of weaving together complex logic with a surprisingly nimble footprint.
In our instructor-led live training courses, participants unlock WrenAI’s layers through interactive, hands-on sessions that bring algorithmic flow, adaptive agents, and modular thinking into sharp, practical focus.
For virtual attendance, training runs through an interactive remote desktop, where instructor and learner inhabit the same live workspace even when miles apart.
Onsite live training can take place at customer premises in Poznan or at NobleProg corporate training centers, offering the space, tools, and guidance to experiment deeply with WrenAI in context.
Also known simply as the Wren AI Framework, this training connects professionals with agentic intelligence and modular design — preparing them to build systems that operate not just as programs, but as adaptable collaborators in evolving workflows.
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 enables SaaS providers to embed generative business intelligence (GenBI) directly into customer-facing products. This course equips SaaS teams with the skills to integrate Wren AI through its Embedded API, configure white-label analytics, and manage multi-tenant deployments.
This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level SaaS product leaders, data engineers, and full-stack developers who wish to deploy WrenAI as an embedded analytics solution in 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 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 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.
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