Courses

Description:

This course is focused on the Prototyping component of the Innovate foundation within the Enterprise Operating Model (EOM). It is designed to help you support leaders, strategists, and digital transformation teams in building a scalable, ethical, and business-aligned AI strategy. Whether they're just starting or refining their current approach, you’ll find practical guidance to move them from inspiration to execution.

Objectives:

By the end of this course, you will be able to:

• Explain how prototyping is a strategic approach, not a technical shortcut.

• Understand how pre-trained models can be adapted to your specific needs.

• Leverage minimum viable models to prove AI automation ideas work.

• Understand how synthetic data can used in development and test of AI automations.

• Leverage low-code and no-code platforms to rapidly build prototypes.

• Understand the value of using rule-based systems in your prototype development.

• Understand the benefits of using transfer and few-shot learning in AI automation prototypes.

• Use data exploration in feature prototyping.

Modules:

Introduction

Why does Prototyping matter?

Using Pre-Trained Models

Using Minimum Viable Models (MVM)

Using Synthetic Data

Prototyping with Low-Code and No-Code Platforms

Using Rules-Based Systems

Smart Shortcuts

Feature Prototyping through Data Exploration

Model Agnostic Approaches in Early Testing

Prototyping User Experiences with Mock Interfaces

Building in Layers with Modular Pipelines

Key Takeaways & Next Steps

Prerequisites:

Blue Prism® Enterprise Operating Model: Getting Started with EOM

Duration:

~ 30 minutes