Intro and course structure

0:00 I took Google's AI Essentials course for you so here's the cliffnotes version to save you to 8 hours but it's not enough for you just to listen to me tell you stuff so I've also included a little assessment at the end of this video to help you remember everything that you learned because research shows that immediately reviewing information is the best way to retain that information and let's be honest if I didn't do this you're probably not going to review it yourself so I'm doing it for your own good all right let's go a portion of this video is sponsored by HubSpot first a quick overview of the structure of the course so the course has five modules the first one is Introduction to AI which is fundamental basically just definitions of things second module is maximizing productivity with AI tools it kind of shows you all the things that you could do with AI tools module three is prompt engineering

0:45 which is my favorite module in this course I think it's one of the best sections on prompt engineering I've seen so far module four is how to use AI responsibly people tell you that you should be responsible you know you should look out for certain things when using AI but they don't exactly tell you what you should be careful about so this is a great introduction module and module five is staying ahead of the curve where you should be looking to keep up with AI developments all right first thing is defining artificial intelligence artificial intelligence refers to computer programs that can complete cognitive tasks typically associated with human intelligence for example Google Maps can help you go to that restaurant that you want to go to or if you go on YouTube there's a recommendation system that is able to recommend the videos that it thinks that you would like to watch now ai is largely powered by Machine learning which which is a computer program that

1:31 can analyze data to make decisions or predictions for example a machine learning program could be a program that is able to determine if an apple is ripe or unripe to train this model you show lots of examples of ripe apples and unripe apples and is able to learn what are the characteristics that determine a ripe or unripe apple so next time you show an apple is never seen before it's able to give a prediction of whether it's ripe or unripe what's important to note here is that the quality of data that you're providing the program will Det determine how good it is at determining what is ripe or unripe this is just one simple example of a machine learning model but basically as there's more advancements in machine learning another subset of artificial intelligence became very very popular which is generative AI the focus of this course generative AI is defined as AI that can generate new content such as text images or other media the most popular example is a generative AI model that's able to process text and also output text otherwise known as a large language model because it's Google the example they give us is Gemini you can directly interact with Gemini through text and is able to Output information for you you can ask at things like help you write an email brainstorm different slogans read things for you and give

2:41 summaries pretend to be your friend when you're lonely and don't have anyone to talk to and lots of other things too all right you with me just saved you an hour there this course is honestly pretty fluffy like they have so many instructors and they tell you you know like about their lives and things like that which is very interesting but that was basically the first module next up is maximizing productivity with AI tools the way that you interact with most AI