WEBVTT 00:00.080 --> 00:04.840 Now you might be thinking, Ed, that wasn't the biggest instant gratification because I can do all 00:04.840 --> 00:06.160 that with ChatGPT. 00:06.240 --> 00:08.120 I can ask it to tell me a joke. 00:08.400 --> 00:14.560 The thing is, we just kind of built our own little ChatGPT just in a couple of minutes. 00:14.600 --> 00:20.680 We designed a little workflow with a chat interface, making a call to an AI, and you can get the impression 00:20.680 --> 00:22.560 that we could switch out different eyes. 00:22.720 --> 00:24.600 And hopefully you can see how we are. 00:24.640 --> 00:30.720 We are planting a seed which can grow to so much more because we'll be able to add in more and more 00:31.080 --> 00:38.240 AI and services and integrations that are going to allow us to orchestrate more and more complex workflows 00:38.360 --> 00:41.040 all through this very simple interface. 00:41.040 --> 00:43.760 And it just takes a matter of minutes. 00:43.760 --> 00:45.360 So that's the thing to keep in mind. 00:45.400 --> 00:48.280 This is the beginning of something much bigger. 00:48.280 --> 00:53.560 And with that, let me welcome you properly again to the Agentic AI builder. 00:53.600 --> 00:56.120 Prepare for building this. 00:56.120 --> 00:57.480 This course is hands on. 00:57.520 --> 00:59.120 This is about creating. 00:59.160 --> 01:03.680 We've got so much, so much to build and prepare for impact. 01:03.720 --> 01:05.840 What we build is going to be valuable. 01:05.840 --> 01:11.280 It's going to be high impact, meaty deliverables that are going to be things that you could deliver 01:11.280 --> 01:16.720 for your own business, for the products that you already build or things for your clients directly. 01:16.720 --> 01:19.320 Ways to to deliver impact to your clients. 01:19.320 --> 01:25.000 Whether you are yourself, a technical person or not, this is something that will equip you to deliver 01:25.000 --> 01:28.200 value, and it's also going to be a ton of fun. 01:28.400 --> 01:33.400 I know this, I can say it with confidence because I've already gone through and built all the projects 01:33.400 --> 01:37.960 we're about to go through in the next three weeks, and I can tell you, I had a blast and you're going 01:37.960 --> 01:39.080 to have a blast as well. 01:39.080 --> 01:44.640 So I wanted to describe who this course is intended for, the type of audience, and hopefully that's 01:44.640 --> 01:47.680 going to describe you, but if not, you might be the wrong place. 01:47.680 --> 01:48.880 So who is it for? 01:48.920 --> 01:50.720 It's for two different personas. 01:50.760 --> 01:58.000 First of all, if you are someone who is primarily a business person or a product person delivers products, 01:58.120 --> 02:05.000 then this course will allow you to work at the frontier of what's possible with generative AI and a 02:05.070 --> 02:10.950 Gentic AI focused mostly on a gentic AI, which is, of course, the thing with the most sizzle right 02:10.950 --> 02:18.110 now and allow you to build these products with business impact without writing a line of code and deliver 02:18.110 --> 02:18.710 impact. 02:18.830 --> 02:20.150 This is for you. 02:20.310 --> 02:20.670 Okay. 02:20.710 --> 02:27.830 And the other persona is if you are actually an AI engineer, maybe you've taken some other courses. 02:27.830 --> 02:30.550 You know about how to write software. 02:31.030 --> 02:32.910 So then why why would this be for you? 02:32.910 --> 02:39.750 Because what this allows you to do is rapidly deliver substantial business functionality in a matter 02:39.750 --> 02:45.630 of minutes, and do it in a way that can be in lockstep with your business partners or your clients 02:45.630 --> 02:47.550 in a way that they can take over from you. 02:47.550 --> 02:51.830 If you're building something for a client, maybe you're doing like a, like a, like a gig for someone 02:51.830 --> 02:54.110 that needs automation in their company. 02:54.150 --> 02:58.550 You can build this and then they can take over and you can do it in minutes. 02:58.670 --> 03:02.590 The fact that you are already an AI engineer only helps you in this regard. 03:02.750 --> 03:07.990 So this is also something that empowers technical people as well as non-technical. 03:07.990 --> 03:09.430 It works on both levels. 03:09.430 --> 03:14.990 And in addition to that, when I said it works for these two different personas, you probably guessed 03:14.990 --> 03:20.550 I was going to say this, but in fact, it also works wherever you are on that continuum, whether you're 03:20.550 --> 03:25.430 completely non-technical and you never written a line of code before in your life, or whether you've 03:25.430 --> 03:31.110 done some coding, maybe you did some some a few years back, or you know your way around a complicated 03:31.110 --> 03:34.550 Excel formula, which is tantamount to coding. 03:34.750 --> 03:41.430 Uh, so so you could be anywhere on that continuum, then this course is for you because there's something 03:41.430 --> 03:42.630 for everyone. 03:42.630 --> 03:47.710 That's how I've tried to position it, and I've tried to make sure that it appeals wherever you are 03:47.710 --> 03:49.550 on the technical spectrum. 03:49.550 --> 03:51.550 So where will you be in three weeks time? 03:51.550 --> 03:53.350 What do you get out of this course? 03:53.350 --> 04:01.630 So I put it to you that by the end of this, you will be able to create AI agents and voice agents that 04:01.630 --> 04:04.310 will solve real business problems. 04:04.470 --> 04:07.670 I'm not a believer in this craze of just building an agent. 04:07.750 --> 04:10.390 Uh, I want an agent for my business. 04:10.390 --> 04:15.150 There should always be a business problem that you're trying to solve, a measurable outcome. 04:15.350 --> 04:16.870 That is what we will focus on. 04:17.270 --> 04:23.950 You're going to be able to apply to jobs if you wish, which involve building AI agents, or submit 04:23.990 --> 04:30.390 a proposal for an engagement for a project that someone wants built that involves AI agents, you'll 04:30.390 --> 04:31.630 be positioned to do that. 04:32.030 --> 04:39.190 And then thirdly, this course is going to be about working on automation, acceleration and amplification 04:39.230 --> 04:43.750 using agents either of your own business or your clients. 04:43.990 --> 04:47.310 That is what we will achieve by the end of three weeks. 04:47.470 --> 04:52.550 Okay, and just to introduce myself and convince you that I'm actually qualified to to teach you about 04:52.550 --> 04:58.590 this, uh, and, uh, I must apologize for anyone that's seen my introductions in the past that I make 04:58.670 --> 05:00.790 exactly the same jokes every time. 05:00.830 --> 05:02.430 I'm an I'm an MLM guy. 05:02.430 --> 05:03.550 I'm not a comedian. 05:03.550 --> 05:08.430 So, so so skip this if you've heard it before, but my name is Ed Donner. 05:08.470 --> 05:12.030 I am the co-founder CTO of an AI startup called Nebula. 05:12.070 --> 05:17.750 I spent most of my career at JP Morgan, where I was a software engineer and ended up as an MD, running 05:17.750 --> 05:21.270 an organization about 300 software engineers and data scientists. 05:21.430 --> 05:26.310 I started out in London, which is where I'm from originally, and then I worked in Tokyo for a bit 05:26.310 --> 05:30.790 and ended up in NYC, which is where I'm coming to you from right now. 05:30.790 --> 05:36.670 And before my current job at Nebula, I was the co-founder and CEO of an AI startup called untapped, 05:36.670 --> 05:38.310 and that was acquired a few years ago. 05:38.310 --> 05:45.110 And this is a picture from Times Square Billboard announcing the acquisition, which was a magical moment 05:45.110 --> 05:45.510 for me. 05:45.670 --> 05:53.710 And in case you don't believe me, if you squint and look super carefully, then right there is me on 05:53.710 --> 05:58.550 the on that, on that billboard, uh, which was, uh, as I say, uh, very cool. 05:58.670 --> 06:04.030 And I don't just put this picture here to show off at my Times Square moment, but also because I live 06:04.030 --> 06:04.750 right here. 06:04.870 --> 06:07.910 I live like, like a block in that direction. 06:07.910 --> 06:11.030 I live right behind that hard Rock cafe sign. 06:11.070 --> 06:11.830 That guitar. 06:12.070 --> 06:14.260 Uh, in fact, that's where I'm coming to you from right now. 06:14.260 --> 06:16.940 And then the window is right here that looks out there. 06:16.940 --> 06:17.260 So. 06:17.260 --> 06:20.500 So I'm kind of facing where you are in some, in some funny way. 06:20.780 --> 06:21.380 Okay. 06:21.420 --> 06:24.940 And so that that was, uh, untapped my, my previous job. 06:24.940 --> 06:28.540 And it's customary in these things to show some sort of a hobby picture. 06:28.540 --> 06:34.300 And so I might show you this picture of me after just flying that plane, and you might think I'm doing 06:34.300 --> 06:36.900 this to say, oh, look, I'm really good at this kind of thing. 06:36.900 --> 06:38.780 But no, quite the opposite. 06:38.780 --> 06:45.980 It happens that my great skill when it comes to working with artificial intelligence is only surpassed 06:45.980 --> 06:51.660 by my complete inability to do anything that requires hand-eye coordination. 06:51.660 --> 06:52.100 So. 06:52.140 --> 06:55.940 So you do not want to be on a plane with me in the cockpit? 06:55.980 --> 06:59.860 If you if you're walking onto a plane and you look around and you see that it's me there holding the 06:59.860 --> 07:03.700 stick, that you want to be looking for a parachute right away. 07:03.980 --> 07:11.820 However, if you find yourself on a course learning about how to apply a gigantic AI to deliver business 07:11.820 --> 07:14.940 impact, then congratulations, you've come to the right place. 07:14.940 --> 07:16.460 You're in safe hands. 07:16.500 --> 07:17.580 Let's get to it. 07:17.620 --> 07:23.580 Now, as I say, I do tend to go on about AI and Llms to really anyone that will listen to me. 07:23.620 --> 07:29.820 And a couple of years ago, some of my friends and family persuaded me to stop giving them impromptu 07:29.860 --> 07:36.340 lectures about large language models, but instead to to make some courses and some videos and do it 07:36.340 --> 07:38.500 online, which which I try my hand on. 07:38.500 --> 07:40.660 And it's been an absolute joy. 07:41.140 --> 07:43.020 It's turned out to to work really well. 07:43.060 --> 07:50.060 People seem to, to, uh, enjoy hearing from someone like me that actually does this in anger in the 07:50.060 --> 07:52.180 real world, a practitioner. 07:52.180 --> 07:54.660 And so I think people have got some value from it. 07:54.660 --> 07:56.420 And the courses have been very successful. 07:56.460 --> 08:02.980 There's about 300,000 people taking my different AI courses from 190 different countries. 08:02.980 --> 08:04.940 And so thank you for being part of that. 08:04.940 --> 08:07.140 It is such a treat for me to be doing this. 08:07.300 --> 08:13.060 And you may ask the question, how does this course fit with the other things that I do on Udemy? 08:13.100 --> 08:14.900 How do they all connect together? 08:14.900 --> 08:22.380 And let me explain that right now, the first set of courses I built are intended for aspiring AI engineers. 08:22.380 --> 08:24.780 There are three courses called Core Track. 08:24.900 --> 08:25.940 A genetic track. 08:25.980 --> 08:27.500 An MLOps track. 08:27.540 --> 08:32.540 The three courses are sort of companion courses that can be taken in any order, although possibly the 08:32.540 --> 08:35.780 most natural order is core, then a genetic, then MLOps. 08:36.140 --> 08:40.140 It's intended for people with a bit of programming experience at least, and it works well for people 08:40.140 --> 08:41.380 who are technical. 08:41.380 --> 08:46.020 But it's entirely possible to take these courses with no technical experience at all, and several people 08:46.020 --> 08:47.900 have done that and been successful. 08:48.060 --> 08:50.820 That's the AI engineer set of courses. 08:51.020 --> 08:53.580 Then I've got a course for AI leaders. 08:53.580 --> 08:59.980 This is for people who are managers, leaders, founders who want to to think more about what it takes 08:59.980 --> 09:03.980 to build a durable, differentiated AI business. 09:04.140 --> 09:09.020 And I actually recommend this for technical people as well, because I think it's a super power for 09:09.020 --> 09:13.620 engineers to also have that commercial thinking side as well. 09:14.020 --> 09:15.860 And then there is this. 09:15.860 --> 09:21.730 This course is intended for AI builders, for people who don't need to have any technical experience 09:21.730 --> 09:22.770 whatsoever. 09:22.770 --> 09:23.850 It's a low code. 09:23.850 --> 09:24.490 No code. 09:24.490 --> 09:25.130 Course. 09:25.130 --> 09:33.450 It's about using N810 to deliver agents and voice agents in order to make business impact immediate 09:33.450 --> 09:36.210 business impact in a very short amount of time. 09:36.410 --> 09:38.010 That's what this course is about. 09:38.010 --> 09:38.770 This course. 09:38.810 --> 09:43.050 It's not so much for AI engineers, not necessarily for AI leaders. 09:43.050 --> 09:47.050 It's for AI builders, people who want to deliver impact. 09:47.250 --> 09:52.210 And generally speaking, if a number of these courses appeal to you in different ways, maybe they scratch 09:52.210 --> 09:53.090 different itches. 09:53.090 --> 09:57.570 I do want to make the point that these are designed to be taken in any order. 09:57.570 --> 10:02.290 I try and make sure that my courses will fit nicely together however you do them. 10:02.290 --> 10:05.050 There should always be something for everyone. 10:05.250 --> 10:06.810 That's what I try and do. 10:07.090 --> 10:11.010 And yes, there's some repetition, but repetition is actually a really good thing when you're learning, 10:11.010 --> 10:11.290 so. 10:11.290 --> 10:13.010 So I wouldn't worry about it. 10:13.050 --> 10:17.250 If something else piques your interest, then dive into that as well. 10:17.250 --> 10:23.450 But for now, for today and for the next three weeks, we're doing AI building with N810.