AI Architecture and Methods

Most AI projects fail due to poor architectural decisions made without understanding production realities. This course will teach you how to evaluate and choose AI architectures that work at scale.

What you'll learn

Everyone's getting the "just use AI" mandate, but demos that work perfectly in presentations often fail catastrophically in production with real users, scale requirements, and operational constraints. In this course, AI Architecture and Methods, you'll learn to evaluate architectural decisions that survive contact with production reality.

First, you'll explore the critical build vs. buy vs. API decision framework and how to assess vendors beyond their marketing claims. Next, you'll discover integration patterns that scale and the predictable failure modes that break most AI systems. Finally, you'll learn how to evaluate processing architectures based on your actual constraints and understand the true total cost of ownership.

When you're finished with this course, you'll have the skills and knowledge of AI architecture and implementation methods needed to make informed decisions about systems that work reliably at scale and avoid the expensive mistakes that derail most AI projects.