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

This instructor-led, live training in Norway (online or onsite) is designed for advanced-level professionals seeking to harness Agentic AI to drive decision-making in complex business and technical contexts.

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

• Grasp the core principles of autonomous decision-making within AI.
• Design and deploy AI agents that function with minimal human oversight.
• Integrate Agentic AI into automation workflows and existing business systems.
• Enhance AI-driven decision processes to improve efficiency and scalability.
• Address compliance, security, and ethical implications associated with AI autonomy.

This instructor-led, live training in Norway (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.
• Analyze the ethical and security considerations of Agentic AI.

This hands-on course on Agentic AI for Business Automation empowers participants to design, integrate, and scale AI-driven agents for real-world business processes. It emphasizes identifying automation opportunities, tool integration, and developing practical applications across customer service, supply chain, and marketing workflows.

This live, instructor-led training (available online or onsite) targets intermediate professionals aiming to implement AI-powered automation via no-code, low-code, and Python-based methods.

Upon completion, participants will be able to:

• Pinpoint key areas where agentic AI enhances 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.

Format of the Course

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

Course Customization Options

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

This instructor-led, live training in Norway (online or onsite) is designed for advanced-level professionals aiming 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 an emerging category of systems designed to autonomously make decisions, execute tasks, and orchestrate workflows.

This instructor-led training, available online or onsite, is designed for intermediate-level professionals seeking to understand how agentic AI will transform organizational workflows, talent strategies, and job design.

Upon completing the course, participants will be able to:

• Assess the capabilities and limitations of agentic AI in enterprise contexts.
• Identify opportunities for task automation, augmentation, and redesign.
• Evaluate workforce implications and develop responsible adoption strategies.
• Establish 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 environment.

Customization Options

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

WrenAI is an AI-driven analytics platform built to link data sources, model insights, and generate dashboards. In enterprise settings, strong governance and security measures are essential to guarantee safe and compliant adoption.

This instructor-led, live training session (available online or onsite) is designed for advanced-level enterprise professionals who want 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 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 organizations to shift away from static dashboards towards conversational analytics and embedded generative BI. Achieving this transformation demands meticulous adoption planning, the migration of existing assets, and robust change management strategies.

This instructor-led, live training session, available either online or on-site, is designed for intermediate-level BI and data platform professionals seeking to modernize their legacy BI systems using WrenAI.

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

• Evaluating legacy BI environments to identify opportunities for modernization.
• Planning and executing the migration from static dashboards to WrenAI.
• Implementing conversational analytics and embedded GenBI functionalities.
• Leading organizational change management efforts for BI modernization.

Course Format

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

Customization Options

• For customized training arrangements, please contact us directly.

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

This instructor-led live training, available either online or on-site, is designed for senior data and analytics specialists looking to assess query precision, implement prompt optimization strategies, and deploy observability measures to oversee WrenAI in live production environments.

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

• Assess the precision and dependability of natural language to SQL translations.
• Utilize prompt tuning methods to enhance system performance.
• Track data drift and analyze query patterns over time.
• Integrate WrenAI with logging and observability infrastructures.

Course Structure

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

Customization Options

• For tailored training solutions, please reach out to us to discuss your specific needs.

The WrenAI API serves as a robust interface for converting natural language into SQL queries, developing custom applications, and embedding charts within internal platforms.

This instructor-led live training, available both online and onsite, is designed for intermediate-level engineers looking to leverage the WrenAI API for practical use cases such as SQL generation, data visualization, and application integration.

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

• Authenticate and link applications to the WrenAI API.
• Derive SQL queries from natural language inputs.
• Generate and embed charts utilizing API endpoints.
• Integrate 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.

Customization Options for the Course

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

WrenAI Cloud serves as a contemporary platform for linking data sources, modeling information, and constructing interactive dashboards.

This instructor-led, live training (available online or on-site) is designed for beginner to intermediate data professionals aiming to master the setup of WrenAI Cloud, model their data, and visualize insights through dashboards.

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

• Setting up and configuring WrenAI Cloud environments.
• Establishing connections between WrenAI Cloud and various data sources.
• Modeling data and defining relationships for analytics.
• Creating interactive dashboards to derive business insights.

Format of the Course

• Interactive lectures and discussions.
• Hands-on practice with cloud platform configuration and data modeling.
• Practical exercises focused on dashboard building and visualization.

Course Customization Options

• For customized training requests, please contact us to arrange.

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

This instructor-led, live training (available online or onsite) targets intermediate to advanced finance professionals seeking to leverage WrenAI for building compliant financial data models and dashboards that support decision-making and risk management.

Upon completing this training, participants will be able to:

• Model financial KPIs and metrics in WrenAI.
• Construct dashboards that meet 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 Customization Options

• To request customized 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 integrate generative business intelligence (GenBI) directly within their customer-facing applications. This course provides SaaS teams with the necessary expertise to utilize the WrenAI Embedded API, set up white-label analytics, and oversee multi-tenant deployments.

Delivered as instructor-led, live training (available online or onsite), this program is designed for intermediate to advanced SaaS product leaders, data engineers, and full-stack developers aiming to implement WrenAI as an embedded analytics solution within SaaS ecosystems.

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

• Integrate WrenAI into customer-facing applications via the Embedded API.
• Deploy white-label conversational BI with tailored branding and customization.
• Architect secure and scalable multi-tenant solutions.
• Monitor usage, enhance performance, and maintain compliance within SaaS environments.

Course Format

• Interactive lectures and group discussions.
• Practical labs utilizing the WrenAI Embedded API.
• Workshop: Design and deploy a white-label analytics feature tailored to a specific SaaS scenario.

Customization Options

• To arrange a customized training session for this course, please reach out to us.

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

This instructor-led live training, available both online and onsite, is designed for beginner to intermediate operations professionals looking to speed up their reporting and analysis processes through WrenAI Spreadsheets and the Metrics Library.

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

• Develop AI-enhanced spreadsheets for data analysis and reporting purposes.
• Utilize the WrenAI Metrics Library to establish standardized Key Performance Indicators (KPIs).
• Link spreadsheets to various data sources to ensure real-time updates.
• Develop automated workflows that streamline operational reporting.

Course Format

• Interactive lectures and discussions.
• Practical exercises in building spreadsheets using WrenAI.
• Hands-on practice with metrics and KPI reporting.

Customization Options

• To arrange a customized training session for this course, please reach out to us.