Course introduction

0:00 welcome to this intro to machine learning course from Rola Dolly Rola is an AI engineer and has a PHD in Neuroscience the course starts with the fundamentals covering what machine learning is how it differs from traditional approaches and when it's used it then Dives deeper into the mechanics exploring different models algorithms and training processes next it covers generative AI before wrapping up with the architecture of AI systems and how to design deploy them effectively hello everyone my name is uh Rola D I am a machine learning architect and uh what I want to do here today is to give you some background information on machine learning so this is really a primer for people without um ml knowledge it's not supposed to go into technical great technical detail I just want to give you practically the lay of the land um and so I'll take you through this so um just a little bit about myself again I'm a machine learning architect at rapid scale um we serve the US market and I help customers build

1:13 machine Learning Systems every day um I come from an academic background so I have a PhD in N science and biomatics I graduated from Mill University in 2017 um I like to say that I was interested in human intelligence and now I work more in artificial intelligence I really like like to compare and contrast um the two occasionally um I'm also an AWS Enthusiast so I'm an AWS Community Builder I'm the AWS Montreal uh co-lead and I'm also a an an AWS Ambassador for Rapid scale I'm a gold jacket Ambassador which means that I have completed all 12 certifications um on a personal side I am a mother of two little angels that keep me busy and I love to cake um although I don't get to do that as much anymore um so in terms of what I've got here today it's a series uh a four part series um I'm going to go through what I'm calling ml11 which is an introduction to machine learning ml12 which is really ml under the hood so we'll talk a little bit about algorithms just to peel a layer off and and give you a better understanding of what is

2:25 going on ml13 is an introduction to generative AI and 104 is about architecting a gen system okay so they shouldn't be um long I'm expecting about 30 minutes a lecture hopefully I do tend to go off rails sometimes so let's say 45 minutes and um hopefully it's useful so I'll see you in