Intro · 6:43
Intro, prerequisites and setup
Local LLMs.
- Ollama: run LLMs locally.
- Course prerequisites.
- Dev environment setup.
| Item | Detail |
|---|---|
| Tool | Ollama |
| Runs | Locally |
Do this in your own tools, step by step. Ticks are saved on this device.
Tool?
Ollama.
Where?
Locally.
0:00 olama is an open-source tool that simplifies running large language models locally on your personal computer in this course you'll learn how to set up and use olama this Hands-On course covers polling and customizing models rest apis python Integrations and real world projects like a grocer lless organizer rag system and an AI recruiter agency Paulo created this course hello and welcome to this mini course I'm very excited that you're here because I know you want to get right in and start learning about AMA and building AI based Solutions using AMA first let me go ahead and introduce myself again which is always awkward okay my name is Paulo deson I am a software Ai and Cloud engineer but most importantly I am an online instructor and I have taught over 280,000 students all over the world in about 175 countries uh skills ranging from building mobile applications Android to learning Ai and Cloud Technologies so this is what I do and I love what I do what is this minicourse about I want to show you how to leverage olama and its many many models so that you can build AI Solutions a applications locally for free usually the structure that I like to follow and has Pro proven to work is in the beginning or the first part of
1:33 the courses I start with the basics the fundamentals as well as Theory Concepts because I think it's important for you to also understand the theory before you go into Hands-On and then the second part is usually Hands-On but sometimes I like to mix those two together so that it's more exciting and you don't get bored okay so I know you're very excited to get started and I'm excited that you're here okay let's go ahead and get started well this course is going to be about ol that's the main thing so we're going to learn how to build local large language model llm applications using AMA so the idea is that we're going to be able to use AMA to customize our models meaning that we are able to use different flavors of models so we can test them around and all of that is actually going to be free which is very exciting and also we're going to be able to build rag system so retrieval augmented generation systems that are powered solely by AMA models keep in mind all of this is going to be for free you're not going to have to pay for anything okay and we are going to learn
2:45 about tools and function calling when we are using these AMA models so we can Aid our large language models that are going to be using with more things that they can do okay I'm going to look at all of that and ultimately I'm going to show you how to use AMA models to build full-fledged large language model applications using these models okay keep in mind all of these models are going to be for free we don't have to pay a dime to use these models now let's talk about who is this course for now this course is for developers AI Engineers open-minded Learners machine learning engineers and so forth as well as data scientists so if you are somebody who is willing to put in the work and wants to learn about AMA and build local llm applications then this course is for you now let's talk about course prerequisites in this course I assume that you know programming this is a very um important skill obviously and I expect you to at least know the basics you'll be seeing a lot of python in this
3:58 course so understand understanding how python Works how to write python code is obviously very important you also need to understand very basics of AI machine learning large language model you don't have to be an expert but just have some general understanding keep in mind also that this is not a programming course because I'm not going to be teaching you how to program and most importantly I always tell my Learners is that you have to be willing to learn and if there things that you need to go and brush on just go and do that and come back to the course but most likely you won't need to go anywhere but continue in this course and learn as much as you can so most of my courses I have this mixture of two things I have Theory so this is where we talk about the fundamental concepts the lingo and so forth and I have Hands-On because it's all about actually doing things that way you actually understand and know how to get things done that's the whole point and so the thing is I'd like to do a mixture of both and sometimes we have more handson and
5:07 sometimes we we may have more Theory but I try to balance it all out where we have mixture both because I know I believe at least that is important for you to have both in your learning process but in this course you are mainly going to be focusing on Hands-On although you will still have some Theory fundamentals as well all right so let's look at the development environment setup so in this case you know that this is all P about python which means you'll have to have python installed and also you have to have some sort of a code editor for me I'm going to be using VSS code so you don't have to use that if you don't like it but that's what I'm going to be using you can use whatever you want okay now I'm not going to go through the process of installing python or vs code or anything like that because you should be able to have that if not you should be able to do that on your own so one place that I always recommend people go is to this link here kin.com knowledgebase install python there are many places online where you can learn or they will walk you through the installation of python if that's your case uh but this seems to be one of the
6:20 best my favorite okay so if you don't have python installed please go ahead and get that set up so that we can continue in the next next videos now we have everything set up on our machine and we're ready to go so we're going to do a deep dive into AMA so you understand exactly what is how it works and what problem um AMA solves all right so let's go ahead and get started now
Get the other 14 chapters, the exam and your certificate for LinkedIn, plus all 700+ AI courses.