Introduction to AI Builder Licensing and Capacity

Navigating the licensing landscape for AI tools can be challenging, but understanding how to allocate and manage your resources is essential for cost-effective automation. This course demystifies AI Builder licensing, helping you make informed decisions for your organization's automation strategy. You will transition from confusion about capacity credits to confidently planning, purchasing, and allocating AI resources across your environments. By learning the foundational structures of licensing, you will ensure your workflows run smoothly without unexpected service interruptions or budget overruns. What you'll learn: Understand the core licensing tiers and add-on structures for AI Builder; Estimate capacity requirements based on your specific automation workflows; Allocate and monitor AI Builder credits across different environments; Manage user permissions and security roles for AI model deployment; Apply cost-optimization strategies to maximize your return on investment; Implement governance best practices to prevent resource depletion. Starting with essential terminology and licensing models, this text-only guide walks you through capacity planning, allocation interfaces, and ongoing resource governance. This course is designed for beginners, IT administrators, and business analysts who are new to managing AI Builder and want to understand its licensing framework without any prior experience. Read through our structured lessons to master the fundamentals of AI Builder resource management today.