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Introduction to AI Apps in Sigma

BasicSkill Level
4.9+
76 reviews
Updated 01/2026
Build interactive AI apps in Sigma using user input, actions, and polished interfaces, no coding required.
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SigmaReporting2 hr13 videos29 Exercises2,150 XPStatement of Accomplishment

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Course Description

Build Interactive AI Apps in Sigma

In this course, you’ll learn how to design and build dynamic AI apps in Sigma that actively respond to user input. Rather than relying on static dashboards, you’ll create applications that blend data, logic, and interaction to deliver meaningful, action-oriented experiences. The course focuses on practical app-building techniques that help you guide users, automate workflows, and present insights in intuitive ways.

Capture and Govern User Input

You’ll start with the foundational building blocks of Sigma apps, including linked input tables. These allow you to display warehouse data alongside user-entered values, enabling direct interaction with underlying datasets. You’ll also learn best practices for controlling and governing user input, ensuring accuracy, consistency, and data integrity throughout your app.

Add Interactivity with Modals and Actions

As you progress, you’ll enhance your apps with modals and action sequences. Modals let you surface additional details or collect focused input without cluttering the main interface, while action sequences allow a single user interaction to trigger multiple outcomes. Together, these tools help you create responsive apps that feel intuitive and purposeful.

Refine the User Experience

Finally, you’ll polish your apps using thoughtful layout and design elements such as popovers, buttons, dividers, and tabbed containers. These features help organize content, improve navigation, and create a clean, professional look. By the end of the course, you’ll be equipped to build AI apps in Sigma that are engaging, efficient, and ready for real-world use.

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What you'll learn

  • Explain the core concepts behind AI app building in Sigma, including how user input drives action-based workflows.
  • Configure linked input tables to safely capture, govern, and integrate user-entered data with warehouse datasets.
  • Apply modals and action sequences to create interactive, responsive app behaviors triggered by user actions.
  • Design intuitive and visually organized app interfaces using elements such as popovers, buttons, and tabbed layouts.
  • Build end-to-end AI apps in Sigma that combine data, logic, and user interaction to support decision-making and automate workflows.

Prerequisites

There are no prerequisites for this course
1

How AI Apps automate decision workflows

Chapter 1 introduces the foundational concepts behind building AI Apps in Sigma, with a focus on how apps integrate user input to drive action-based workflows. A major emphasis is placed on linked input tables, one of the most important building blocks for Sigma apps. You explore how to create linked input tables that display warehouse data alongside user-entered values, enabling direct interaction with underlying datasets. The chapter also covers best practices for governing user input, including controlling which data types can be entered and defining when tables are editable. By the end of this chapter, you’ll have a strong understanding of how to safely and effectively collect user input while maintaining data integrity within your app.
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2

Adding workflow sequencing to AI Apps

In Chapter 2, you learn how to make your AI apps more interactive and responsive by using modals and action sequences. Modals allow you to present focused pop-up windows within your app, giving users access to additional information or providing a space for more detailed input without cluttering the main interface. You see how modals can improve usability and guide users through specific tasks. The chapter also introduces action sequences, which enable apps to respond dynamically to user actions such as clicking a button or selecting a table row. You learn how to trigger multiple effects from a single interaction, helping automate workflows and streamline user experiences. Together, modals and action sequences give you powerful tools to build apps that feel intuitive, interactive, and purposeful.
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3

Creating cohesive, intuitive AI Apps

Chapter 3 focuses on refining the user interface and overall experience of your AI apps. You begin by learning about popovers, a versatile UI element used to hide filter menus or display contextual information only when it’s needed. This helps keep apps clean while still providing users with easy access to controls and details. The chapter also explores a range of design and organizational features that enhance both usability and visual appeal. You learn how to incorporate navigational buttons, dividers and tabbed containers to structure content and guide users through your app more effectively. By the end of Chapter 3, you’ll understand how thoughtful layout and design choices can make your AI apps more intuitive, polished, and enjoyable to use.
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Introduction to AI Apps in Sigma
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*4.9
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  • MARIA ALEXANDRA
    6 hours ago

  • Asairi Carlos
    2 days ago

  • Ganesh
    3 days ago

  • Nandhini
    4 days ago

  • Dhruvika
    6 days ago

  • Mico
    last week

MARIA ALEXANDRA

Asairi Carlos

Ganesh

FAQs

Do I need prior experience with Sigma to take this course?

Basic familiarity with Sigma is helpful, so we recommend taking the Introduction to Sigma course first. The course starts with foundational concepts and gradually introduces more advanced app-building features.

Does this course involve coding or scripting?

No coding is required. All apps are built using Sigma’s visual interface, making the course accessible to both technical and non-technical users.

What are linked input tables, and why are they important?

Linked input tables allow users to enter or modify data directly within an app while maintaining control and data integrity. They are a core building block for interactive Sigma apps.

What types of use cases does this course prepare me for?

You’ll learn to build apps that support data-driven decision-making, streamline workflows, and enable users to take action directly from their analytics.

Will I learn best practices for app design and usability?

Yes. The course covers layout, navigation, and UI elements that help you create polished, intuitive apps that are easy for users to understand and use.

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