Hey, gang, and welcome to this final part of the section. So as I was talking about before, sometimes there's new industry or new technology that is just so new that there is just no, you know, traditional or new online content available teaching about that subject. Now, this can happen for a number of reasons. But usually what happens is, traditionally, as I said, a technology will come out and it will take many years for it to develop and have the curriculum developed for but as of light, as technology and industry is accelerating even more, that whole development cycle will be reduced to maybe one two, or even three years where it's really just impossible even to create this new online content. It's just not possible in that such short time. frame for someone to get up to speed on it and then want to create a course on it.

The other reason it can be is because it's, you know, a serious new technology that will impact something, a huge amount and people can see that, but it's actively still in development. And they can't wait for it to be deployed and have that curriculum teach or created to be taught about before the entire industry or company might get disrupted or, you know, completely changed. So, an example of this might be self driving cars, for instance, you know, if you're a taxi driver, you might already know about self driving cars and sort of be thinking about and be aware that perhaps it will replace your job and totally disrupt your industry as a whole at some point soon. But if you want to be proactive and learn about that technology and start doing you know self driving, programming yourself It might be very difficult to really get fully up to speed on that subject.

Because in order to know that, you know, latest technology, you would, the only place you're going to find it is in those companies that are leading the field. And these are things like companies like waymo, and Tesla, other ones such as Ford and GM, these companies are spending billions and billions of dollars on it is a huge industry, but they're not gonna, you know, come out and start teaching people about how to do the stuff that they're still developing that's giving away their trade secrets, no one's gonna do that. So it's understandable that you can have this sort of catch 22 scenario where for whatever reason, the technology or industry is so new that you can't actually get proper, you know, online courses or traditional courses on how to learn about that new technology. Now, one of the best ways to get out of this sort of catch 22 scenario is to actually do your own Essential research and development to actually do this yourself.

And while it is typically a lot harder than having someone teach you the subject, it can still also be a lot of fun and for those who are sort of scientifically or engineer minded, who liked that discovery process and really like to dig deep and learn about the core technology and how it works, and, you know, build it and do it for themselves, because that's what drives them. It can be a very, you know, fantastic path to pursue. So as an example, again, going back to that deep learning problem of, you know, self driving cars, whilst you might be able to take some preliminary courses on, you know, perhaps computer programming, and then maybe deep learning as well. There are some, you know, potential courses you might be able to take that will teach you a little bit about specifically self driving cars and you know, the technology and programming behind that A lot of the work that you'll have to do will be yourself, you will have to do something like, you know, take one of my other free courses about how to actually build your own deep learning computer system at home.

And from there, you can actually start to program the systems yourself. Try automate yourself and essentially try and do the same research and development that these companies are doing. And obviously, you just being you as not going to be able to compete to these gigantic companies spending billions of dollars, but what you can achieve is you can start getting sort of a bit of a head, start on everyone else out there, and start developing, getting a better idea of that technology so that when you do go to those companies to be employed by them, you can show them your research, show them your work. And I mean, sure they will have far more advanced systems, but you'll be showing off your quite unique ability to develop those systems that they're wanting you You can show to them that you're independent person who doesn't need someone to specifically tell you what to develop and what to do that you can develop it yourself.

And that's definitely something that those types of companies will want to be looking for. Because they're, you know, they're going into uncharted territory is no one has built a self driving car before. So they need people that can actually develop this sort of technology and software themselves. I can't tell someone exactly how to build a self driving car because it's never been been been done before. They need people who can figure it out themselves. And this sort of self development and self research can really benefit you in a number of different ways.

Now, one of the biggest problems with this sort of research and development is to understand which technologies are important and worth your time and which ones aren't. And I think that's a big problem for most people trying to decide, you know, of all these technologies that are coming out. Which one should you pay attention to which one is worth sort of focusing on and maybe doing some of your own r&d at home, with a computer or whatever it might be for. So this is what we'll be covering in the next section, which is the main heart of this course it goes over the core strategy of how to stay employed in the robotic future. And please don't miss it. We'll be going over the entire strategy, piece by piece from end to end.

So I will have a chat with you then about the strategy for this course.