Building effective agentic AI systems is

one of the most valuable skills in AI

today. In this course, I share best

practices for doing so and you come away

with a systematic understanding of how

to build agentic systems. I come with

the term agentic AI to describe a

growing category of AI projects not

realizing that marketers would get a

hold of that term and slap us a sticker

on everything in site. Even though the

hype on agentic AI has grown really

rapidly, the reality of agentic systems

being created and deployed has grown

rapidly as well. Unlike a single LM

call, they just directly generates a

response. Agentic AI systems can execute

multiple LM driven steps. These steps

can use tools, they can reason, they can

iterate over the work to complete

complex [music] tasks. In this course

you learn how to build agentic workflows

using raw Python without hiding all the

steps in some framework so that you see

how each step actually works. You learn

to take a complex application and

decompose it into a sequence of tasks

that you can then implement [music] as

an agentic workflow. You also learn how

to implement the four key design

patterns for agentic workflows. Having

worked on many agentic systems with many

teams, I found that the single biggest

predictor for whether the team executes

well lies in his ability to drive a

disciplined error analysis process. That

is to put in place evaluations or evals

so that given a complex agented

workflow, you can efficiently hone in on

what components to focus attention on

improving. This way, you aren't just

guessing how to spend time productively.

you let the eval data guide you. In this

course, I'll also show you how to drive

this [music] process and this will put

you significantly ahead of your game

compared to the vast majority of teams

building aicles today. This course is

taught in a vendor neutral way in raw

Python and the emphasis is on teaching

you the core concepts that you can then

implement using any of the popular

agentic AI development frameworks or

using no framework. This long form

course is currently available only on

the deep learning.ai website. I hope you

sign up for [music] this course and when

you've completed it, you know how to

build aic AI systems which is one of the

most in demand skills on the job market

today and that will also let you build a

lot of cool applications.