This lesson brings the complexities of AI Agent Design together into an orchestrated system. You will explore the need to model realistic workflows which fundamentally include the limits AI agents work within, and the need to include humans within the process to ensure quality and accuracy.
You’ll also examine the creation of an orchestration agent in more detail. This is a crucial component of your design, as this agent will serve to turn all your connected systems into a complete learning AI ecosystem.
By the end of this lesson, you will be able to understand:
How agents translate complex real-world processes into structured blueprints they can simulate, adapt, and eventually execute.
That defining technical, ethical, and human boundaries clarify safe operation and ensure accountability.
How an intelligent orchestration agent brings pipelines, iterative quality, observability, workflow modelling, and AI limits into a coherent whole.
A solid foundation in computer programming principles.
Intermediate knowledge of the Python programming language.