Install Python, VS Code, and Ollama for AI Agent Development

So, welcome to first practical of this course. So, the first step is that you have to

install Python. It is possible that on your system Python is already installed. So, what we

will do is we will check whether Python is already installed or not. So, I will open command prompt. So, I will open

command prompt. Run it as an administrator. >> [music]

>> And then I will go and run this command Python minus minus version. If the Python is already installed, it

will give you the version number. If it is not, then it will give you an error like Python is not recognized. In case

Python is not installed, you can install the Python through this website. When you open that website, you get

something like this. From here, you can install the Python. This is for the Windows, but you can

choose the Linux, Mac OS, any version, whatever you want. Just you have to install it. Press click

click click next, and it will be installed. No issue. It is very simple to install Python. After you have

installed it, just check it again. Python minus minus version. If you get the version number, that means the

Python is installed on your computer or laptop. So, that is the first job done.

Next is the install Visual Studio Code. This is the interface. This is the integrated development environment where

we will write our code. So, this is very important to download. This is the website through which you can download

this. So, how to download? Go on to this website, and here again you have the

Linux, Mac, as well as the Windows version. You can download it and install it

whatever your operating system is accordingly. Installation is again very simple. Nowadays installations are very

simple, just like as you install any app on your mobile. It is almost similar to that.

So, you can install this Visual Studio Code. After you have installed it, you have to

install Ollama framework. For that, you go on to this website, ollama.com/download.

So, this is the website of Ollama. Again, here every operating system is there. You can download whatever version

is suitable for it. Download for Windows, or you can download for Macs. So, you can download it and install it

this. This is the framework of Ollama. Once you have installed that, thereafter you download your first AI model.

How to download first AI model? This is the command. Ollama pull

this. This is the command which you will write on your terminal. So, just copy this command,

press enter button, and it will restart downloading it. On my laptop, it is already installed, so I am not doing

that. Now, I have given one more option. That is called 1.7B.

This is a smaller version of Ollama. This is larger version of Ollama. So, that means if you run this, it will

take a lot of time to respond. But, if you use this, which is a smaller version of large language model, then maybe your

output will come a little faster. You can use any of these. This is big one. This is a little bit a smaller. But, for

our purposes, both will work. It is only the size which is larger here, and it is

a smaller here. That means it has been trained on large amount of data. It has been trained on a little bit a small

amount of data. But, for our purpose practical purposes, both of this will work.

So, so that's what you can do. So, after you have downloaded it, you

have to test whether Ollama is working or not. For that, you will run the following command. If you have

downloaded this, then you will use 4B. If you have downloaded [clears throat] this, then you will use 1.7B.

So, I am going to run this. I have downloaded both on my computer, so I can run both.

So, this is the command. When I will run this,

this large language model will run, and it will ask for the user to ask any question, and thereafter it will

respond. So, it has run. Now, it is asking to give any message to it. So, suppose you

ask, "What is machine learning?" Or you can ask any question. Then, it will respond.

Before responding, it will do the thinking. All those statements will keep on printing on your screen.

Similar to any generative AI application like ChatGPT, etc. And finally, it will give you the final answer. That means

the answer of this question, what is machine learning? So, after this thinking process is done,

this is the final response. That's a great question. Machine learning is a branch of artificial intelligence where

computers learn patterns. [clears throat] All this is the response of the

this large language model. Once we see that, we know that our large language model is properly installed.

Thereafter, we will create the project folder where we will store our project. So, we will create project folder.

So, what I will do is go on to my computer. Take any drive, let's say D drive, and

here we can create a folder. You can keep its name either AI agent or AI agent development.

Whatever name you want, you can keep that. So, I have kept it as AI agent. You can

have AI agent development or AI agent. So, a shorter name is a little better. We will see why, but that is better

because when I will run this Visual Studio Code, then you will know that why I have kept

shorter name. So, this is the name of the folder.

Thereafter, we will go and open Visual Studio Code software. So,

this is the Visual Studio Code software. I will double click on this and this will open. This is the

interface of Visual Studio Code. Here, the menu is here. Sometimes menu can come on the top and sometimes menu

can come like this also because I have increased the font size, therefore it is coming like this. Otherwise, the same

menu will come on the top. So, what we will do is we will open the

folder. So, open folder. I will go on to that folder which I have created. That is AI agent. So, this is the folder.

Once I have created this folder, then the explorer comes here where all the

file and folders will be listed. You just close this. And here the chatbot is there. We will

close this also, not required for our purpose. So, this is the folder which you can see

here, AI agent. Now, when you have to give any command, for that you require a terminal.

So, click here, view. On the view, you go click on terminal. So, it is asking, do you trust the

authors of the file in this folder? Of course, because this folder has been made by me only, so I trust it. So, this

is the terminal window where you can type any command. For example, suppose I want to run a program, I can write

Python and the name of the file to run it. I kept the folder name AI agent as small

so that you have lots of space to type here and it does not wrap into the next line.

Right? So, that's why I kept the name of the file is smaller. You can have any

file name or folder name, whatever you want, AI agent development or AI agent. I have kept it AI agent.

So, this is basically the terminal. This is the area where your file will be displayed. Whenever we will create it,

this is the area where the file information will come, where we will type the code, etc.

This is the area where you will have this new file, new folder, so you can create any new file, you can create any

new folder by clicking here. Suppose, for example, I want to create a new file, I'll just click here.

And then, I can write the name of the file. Suppose, I write the name of the file hello

_ai.py. So, this file is created, and you can see here

the information, whatever I have to write in this file, I can write in this area. So, this is the area where I can

write any code, whatever I want, like this. So, we can write the code in this area.

We can make this area larger by closing the terminal, right? So, now this area, we can write the entire code. And this

is showing that this file is currently open. So, probably this is enough for the

first practical. I hope the setup is ready. Now, we can write the program. Thank you.