Now you might be thinking, Ed, that wasn't the biggest instant gratification because I can do all
that with ChatGPT.
I can ask it to tell me a joke.
The thing is, we just kind of built our own little ChatGPT just in a couple of minutes.
We designed a little workflow with a chat interface, making a call to an AI, and you can get the impression
that we could switch out different eyes.
And hopefully you can see how we are.
We are planting a seed which can grow to so much more because we'll be able to add in more and more
AI and services and integrations that are going to allow us to orchestrate more and more complex workflows
all through this very simple interface.
And it just takes a matter of minutes.
So that's the thing to keep in mind.
This is the beginning of something much bigger.
And with that, let me welcome you properly again to the Agentic AI builder.
Prepare for building this.
This course is hands on.
This is about creating.
We've got so much, so much to build and prepare for impact.
What we build is going to be valuable.
It's going to be high impact, meaty deliverables that are going to be things that you could deliver
for your own business, for the products that you already build or things for your clients directly.
Ways to to deliver impact to your clients.
Whether you are yourself, a technical person or not, this is something that will equip you to deliver
value, and it's also going to be a ton of fun.
I know this, I can say it with confidence because I've already gone through and built all the projects
we're about to go through in the next three weeks, and I can tell you, I had a blast and you're going
to have a blast as well.
So I wanted to describe who this course is intended for, the type of audience, and hopefully that's
going to describe you, but if not, you might be the wrong place.
So who is it for?
It's for two different personas.
First of all, if you are someone who is primarily a business person or a product person delivers products,
then this course will allow you to work at the frontier of what's possible with generative AI and a
Gentic AI focused mostly on a gentic AI, which is, of course, the thing with the most sizzle right
now and allow you to build these products with business impact without writing a line of code and deliver
impact.
This is for you.
Okay.
And the other persona is if you are actually an AI engineer, maybe you've taken some other courses.
You know about how to write software.
So then why why would this be for you?
Because what this allows you to do is rapidly deliver substantial business functionality in a matter
of minutes, and do it in a way that can be in lockstep with your business partners or your clients
in a way that they can take over from you.
If you're building something for a client, maybe you're doing like a, like a, like a gig for someone
that needs automation in their company.
You can build this and then they can take over and you can do it in minutes.
The fact that you are already an AI engineer only helps you in this regard.
So this is also something that empowers technical people as well as non-technical.
It works on both levels.
And in addition to that, when I said it works for these two different personas, you probably guessed
I was going to say this, but in fact, it also works wherever you are on that continuum, whether you're
completely non-technical and you never written a line of code before in your life, or whether you've
done some coding, maybe you did some some a few years back, or you know your way around a complicated
Excel formula, which is tantamount to coding.
Uh, so so you could be anywhere on that continuum, then this course is for you because there's something
for everyone.
That's how I've tried to position it, and I've tried to make sure that it appeals wherever you are
on the technical spectrum.
So where will you be in three weeks time?
What do you get out of this course?
So I put it to you that by the end of this, you will be able to create AI agents and voice agents that
will solve real business problems.
I'm not a believer in this craze of just building an agent.
Uh, I want an agent for my business.
There should always be a business problem that you're trying to solve, a measurable outcome.
That is what we will focus on.
You're going to be able to apply to jobs if you wish, which involve building AI agents, or submit
a proposal for an engagement for a project that someone wants built that involves AI agents, you'll
be positioned to do that.
And then thirdly, this course is going to be about working on automation, acceleration and amplification
using agents either of your own business or your clients.
That is what we will achieve by the end of three weeks.
Okay, and just to introduce myself and convince you that I'm actually qualified to to teach you about
this, uh, and, uh, I must apologize for anyone that's seen my introductions in the past that I make
exactly the same jokes every time.
I'm an I'm an MLM guy.
I'm not a comedian.
So, so so skip this if you've heard it before, but my name is Ed Donner.
I am the co-founder CTO of an AI startup called Nebula.
I spent most of my career at JP Morgan, where I was a software engineer and ended up as an MD, running
an organization about 300 software engineers and data scientists.
I started out in London, which is where I'm from originally, and then I worked in Tokyo for a bit
and ended up in NYC, which is where I'm coming to you from right now.
And before my current job at Nebula, I was the co-founder and CEO of an AI startup called untapped,
and that was acquired a few years ago.
And this is a picture from Times Square Billboard announcing the acquisition, which was a magical moment
for me.
And in case you don't believe me, if you squint and look super carefully, then right there is me on
the on that, on that billboard, uh, which was, uh, as I say, uh, very cool.
And I don't just put this picture here to show off at my Times Square moment, but also because I live
right here.
I live like, like a block in that direction.
I live right behind that hard Rock cafe sign.
That guitar.
Uh, in fact, that's where I'm coming to you from right now.
And then the window is right here that looks out there.
So.
So I'm kind of facing where you are in some, in some funny way.
Okay.
And so that that was, uh, untapped my, my previous job.
And it's customary in these things to show some sort of a hobby picture.
And so I might show you this picture of me after just flying that plane, and you might think I'm doing
this to say, oh, look, I'm really good at this kind of thing.
But no, quite the opposite.
It happens that my great skill when it comes to working with artificial intelligence is only surpassed
by my complete inability to do anything that requires hand-eye coordination.
So.
So you do not want to be on a plane with me in the cockpit?
If you if you're walking onto a plane and you look around and you see that it's me there holding the
stick, that you want to be looking for a parachute right away.
However, if you find yourself on a course learning about how to apply a gigantic AI to deliver business
impact, then congratulations, you've come to the right place.
You're in safe hands.
Let's get to it.
Now, as I say, I do tend to go on about AI and Llms to really anyone that will listen to me.
And a couple of years ago, some of my friends and family persuaded me to stop giving them impromptu
lectures about large language models, but instead to to make some courses and some videos and do it
online, which which I try my hand on.
And it's been an absolute joy.
It's turned out to to work really well.
People seem to, to, uh, enjoy hearing from someone like me that actually does this in anger in the
real world, a practitioner.
And so I think people have got some value from it.
And the courses have been very successful.
There's about 300,000 people taking my different AI courses from 190 different countries.
And so thank you for being part of that.
It is such a treat for me to be doing this.
And you may ask the question, how does this course fit with the other things that I do on Udemy?
How do they all connect together?
And let me explain that right now, the first set of courses I built are intended for aspiring AI engineers.
There are three courses called Core Track.
A genetic track.
An MLOps track.
The three courses are sort of companion courses that can be taken in any order, although possibly the
most natural order is core, then a genetic, then MLOps.
It's intended for people with a bit of programming experience at least, and it works well for people
who are technical.
But it's entirely possible to take these courses with no technical experience at all, and several people
have done that and been successful.
That's the AI engineer set of courses.
Then I've got a course for AI leaders.
This is for people who are managers, leaders, founders who want to to think more about what it takes
to build a durable, differentiated AI business.
And I actually recommend this for technical people as well, because I think it's a super power for
engineers to also have that commercial thinking side as well.
And then there is this.
This course is intended for AI builders, for people who don't need to have any technical experience
whatsoever.
It's a low code.
No code.
Course.
It's about using N810 to deliver agents and voice agents in order to make business impact immediate
business impact in a very short amount of time.
That's what this course is about.
This course.
It's not so much for AI engineers, not necessarily for AI leaders.
It's for AI builders, people who want to deliver impact.
And generally speaking, if a number of these courses appeal to you in different ways, maybe they scratch
different itches.
I do want to make the point that these are designed to be taken in any order.
I try and make sure that my courses will fit nicely together however you do them.
There should always be something for everyone.
That's what I try and do.
And yes, there's some repetition, but repetition is actually a really good thing when you're learning,
so.
So I wouldn't worry about it.
If something else piques your interest, then dive into that as well.
But for now, for today and for the next three weeks, we're doing AI building with N810.