The purpose of this video is to show you how to first get an IBM ID so that you can authenticate to the IBM Cloud. Then we're going to show you how to log in to the IBM Cloud and after we've logged in, we're going to show you how to spin up or create a new instance of the IBM Watson Studio. Once you have your new instance of IBM Watson Studio set up, we're going to actually go into IBM Watson Studio and create a new project and then use that new project to start working on our case studies for this course. The first thing you want to do is to make sure you've downloaded the zip file that is associated with the very first case study for this course. On the screen here, you can see that I've downloaded the file, and in my case it's called AI Enterprise Workflow Module 1 Case Study. The name of the file may be slightly different based on where you get it from and versions and whatnot. But this is the file that I've downloaded and it represents the very first case study file to be used with IBM Watson Studio. After you've downloaded that file from the course and you've made sure that you've placed it on your computer somewhere where you can remember where to get to it, the next thing is to open up your web browser and go to Cloud.ibm.com. Once you go to Cloud.ibm.com you should see a screen that looks similar to this one, and if you've never registered for an IBM ID before, what you want to do is to click here on the left-hand side on the button that is labeled "Create an IBM Cloud account". If you click on that button, it will take you to a sign-up page where you can sign up for an IBM ID. The first thing that it asks you for is your email address. This email address is going to be used as your username for the IBM Cloud. Now if you've registered before with a particular email address, you won't be able to use it again. One of the things that happens when you type the email into this field is that it checks to see if it's been used before. So you type in your email address here, and then type in your first name, your last name, your country of origin, and your password that you've selected here. Always be sure to select a secure password. Then once you've entered all that information in correctly, this button here makes itself visible and it is labeled "Create Account". If you click on the "Create Account" button, the account will be created and within a few minutes, you will have a IBM Cloud account that is ready to go. After you've created your IBM Cloud account, you want to go back to Cloud.Ibm.com and enter in your new IBM Cloud credentials in the space where it says IBM ID. This is where you're going to enter in the email address that you used to create your IBM Cloud account, and you're going to enter in the email address and then click on the "Continue" button. You will be then asked for your password, and then after that, you're authenticated to the IBM Cloud. Once you're authenticated to the IBM Cloud and you've properly logged in, you should see a screen that looks similar to this one. Now this is your dashboard view for all of the services and functions that you have inside of the Cloud. Your view may look slightly different than mine due to, say for example, changes or differences in our computer's resolution settings, or you may have some extra functions or features that perhaps your employer may have purchased through IBM. Nonetheless, this is the dashboard view for the IBM Cloud, and the first thing I want to point out to you is the little three lines that are up here in the upper left-hand corner. This is the navigation menu, sometimes referred to as a hamburger since it's a little stack of three little things, I guess bread and meat. But if you click on the Navigation Menu, it will show you all of the different functions and features that you have access to in the IBM Cloud. One important thing to remember about this navigation menu is that if you ever get lost, go ahead and click on the navigation menu hamburger right here, and just click on Dashboard and it'll always bring you back to this view. So if you ever get lost, it's a handy way to find your way back. Now that we're in the IBM Cloud, what we want to do is to create a new instance of IBM Watson Studio, and the way we're going to do that is to go up here to the Catalog. In the upper middle part of the page, you see this link here that is labeled Catalog. Go ahead and click on Catalog, and it'll bring you to a listing of the over 100 services that we have available on the IBM Cloud. Over on the left-hand side, you'll notice all of the different categories of services, and the one that we want is the AI category, which is right here in the middle, left-hand side listing of all of the services. I'm going to go ahead and click on AI, and the screen refreshes to show me a listing of tiles, each one of which represents a different AI service that we have on the IBM Cloud. Of course, the one that we're interested in is this one here, Watson Studio. So I'm going to go ahead and click on this tile. Anytime you click on any of these tiles in the catalog, it takes you to a screen that looks just like this, and this screen allows you to quickly set up or provision an instance of the particular service that you're looking at. Not only that, but this screen also gives you access to things like the documentation for that particular service, and it also gives you a little description of what the service does. So this is a very handy screen that you can look at for each one of the services in the IBM Cloud. The first thing we want to look at here is the service name. This is the name that is, I guess, the random name that is given to a new instance of a service. In this case, it's the name of the service plus some random collection of letters and characters and numbers. Here it says Watson Studio-8r. So that is our name of our new service that we're going to create. Next is the region that you want to deploy the service in. You want to pick a region here that is closest geographically to where you live. So I'm in the United States, so I'm going to go ahead and pick Dallas, Texas. Then you want to scroll down and make sure that the pricing plan is selected as Lite. If you select another pricing plan, it gives you a lot more power that you can use for powerful machine learning models, collaboration, things of that nature. But we're going to go ahead and pick the lite plan, which gives individuals the ability to play with all of the functions and features of Watson Studio. Once you've selected the region that you want to deploy in and the lite plan, you can then come down here to the lower right and click on the "Create" button, and the "Create" button provisions for you a new instance of Watson Studio. The next screen that we're going to see here after the provisioning is complete, is the management screen for our new service. Anytime you provision any new service, not just Watson Studio, but any service, it takes you to this management screen where you can do things like: look at the credentials that a particular service may have, also of course, get access to the documentation and the support community for that particular service. In this case, the management screen takes us to the "Get Started" button, which is right here in the very middle of the management screen. Once we click on the "Get Started" button, it takes us into our new instance of Watson Studio. This is the welcome screen for Watson Studio. If you've never used Watson Studio before, if it's brand new, you will not have anything listed here. Otherwise, you will see all of the different projects and services that you're working with inside of Watson Studio. Now what we want to do is to create a project, and we're going to create a project and import the file that I pointed out to you earlier, namely, this zip file that we downloaded from the course. We're going to import that file into Watson Studio to create a project that enables us to work with the very first case study in our course.. What I want to do now is to go ahead and click on Create a project, and it should take me to a page that lets me select from two options. I can create an empty project or create a project from a sample or file. Now what we're going to do here is we're going to create a project from a sample or file. Because I am providing you with a file that will allow you to build the project. However, if you happen to have some Jupyter Notebooks and some data that you've used from another source, you can also just create an empty project, go into that project, and then import your Jupyter Notebooks and your data and begin working with them inside of Watson Studio. It's a very flexible, powerful platform that allows you to work with all of your open-source tools. But we're going to go ahead and make it a bit easier and click on "Create a project from a sample or file", so I'm going to click on that, and it takes you to the screen that asks you for all of the information that it needs to create a project. The first thing I want to do is go ahead and upload the file to the Watson Studio that contains all of the files that I need in order to work with the case study. It allows you to do a drag and drop. I'm going to go ahead and go to my file manager or my Finder, and I'm going to drag this file that I've downloaded from our course and drop it right here. So now I have the file, AI-Enterprise-Workflow-Module-1-Case-Study.zip. Now, I'm going to give the project a name, so I can call it AI Enterprise Workflow. You can give it a description if you want, but you can leave it blank. The next thing you have to do is you have to add storage. Now, the IBM Watson Studio keeps all the files and all of the different artifacts that uses when it's doing its thing. It keeps everything inside of a Cloud object storage service. If you don't already have a Cloud object storage service, it gives you the opportunity to define one here in this interface. I'm going to go ahead and add one real quick by clicking on the add link right here on the right-hand side. Once I click on "Add", it takes me to another screen that says, "Hi, Cloud object storage here, you want to create one?" Again, this is similar to the screen that we saw before with Watson Studio. It tells you what it does, and it gives you access to the options which include here the lite plan. So now that I'm going to go ahead and create a Cloud objects storage service with the lite plan, I can just hit "Create", and it comes up with a default name for me. I hit "Confirm", and within a few seconds, I will have a nice Cloud object storage facility that I can use to store all of the different artifacts that I'm going to create with my Watson Studio System. After I've done the creation of the Cloud objects storage, I can hit number two here, the "Refresh", and it'll come back and it'll pull up the name of the cloud objects storage service that I just created. To review, first, I uploaded the zip file that contains the notebooks and data files that are associated with our case study. I gave it a name, which could be anything, but I just called it AI Enterprise Workflow. Then I had to go ahead and provision a new instance of Cloud objects storage so that Watson Studio would have some place to store all of its different files and other system information it needs to do its job. Now that all of that information has been provisioned, I can go ahead and hit "Create" in the lower right, and it goes to the process of building the new project. It initializes the project space, uploads the zip file into the project space, extracts it, puts it all into the object store, and then we are good to go. I go ahead and hit the "View new project" button, and it takes me right to my project. Now, if I want to see what I've got here, all I have to do is go up to where it says "Assets", and it shows me not only the data files that are associated with this particular project, but also the Jupyter notebooks. The Jupyter notebook that I want to go to for the case study is this one here, m1-U6-case study. If I click on that, it'll take me right to the notebook, and it opens up the notebook just like it does inside of the Jupyter software that you might have installed on your own computer. If I want to go ahead and start playing with it and edit it, I hit the little edit pencil here on the toolbar. What it does is it powers up the Python runtime to power up the notebook. This particular runtime has two virtual CPUs and eight gigabytes of RAM, which is plenty for a small notebook. So here's my notebook all ready to go, containing all of the different cells and the code. At the moment, of course, like all Jupyter notebooks that you load into Jupyter for the first time, it's not trusted. If you want to go and trust it, go ahead and hit the little "Not Trusted" link up here, and then hit "Trust", and the notebook's now trusted so it'll execute the code. There you have it, we have all of the code inside of the Jupyter Notebook ready for us to play with, and then you just go through it like you would with any normal Jupyter notebook
