Original subtitles

- [Lecturer] Who builds Agent AI in a company?

Is it the developer, designer, product manager,

data scientist, business owner,

data owner, or some other role?

Well, just like with any AI, multiple roles come together

to design and build Agent AI.

Let's understand these roles,

so you can find out your role in building Agent AI.

Developers design and train the Agent AI system.

Product managers build Agent AI products.

Customer success teams deploy agent to production,

and provide the customer with access to agents.

Business data owners play a very important role.

They provide the Agent AI with specific goals to accomplish

and what available tools that the agent can use.

Data engineers get the tools ready,

especially they get the external data sources ready

for the agent to access.

UX designers design the human computer interface

for products, and uses Agent AI

to automate these interfaces by applying prompt engineering

and UX skills to agent.

We will learn more about building agents

where you can see the connection between existing UX field

and automating human decisions with Agent AI systems.

Do you see any role here that you can choose

to build agent AI in your job?

If you do not see a direct job title, don't worry about it.

As we go through the rest of the lessons

and build Agent AI exercises, you will be able to see

how your skills and experience translates

to building Agent AI systems.