After doing these courses, I feel confident creating professional visualizations and dashboards
Shoebur RahmanProcurement Specialist, Giz Bangladesh
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.
Feels like what you want to learn?
Start Course for FreeWhat 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
Curriculum
Course outline
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.
- What are AI Apps?50 XP
- Exploring a finished app for loan approvals100 XP
- A finished app for loan officer promotions100 XP
- Enriching existing data with linked input tables50 XP
- Understanding linked input tables50 XP
- Creating a linked input table50 XP
- Capture promotion nominations100 XP
- Testing linked input table behaviors100 XP
- Governing linked input table data entry50 XP
- Managing edits to the loan officers input table100 XP
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.
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.
Introduction to AI Apps in Sigma
Course
Complete
