Recommend content - LinkedIn Learning Tutorial

- [Instructor] One of the best ways to help increase learner engagement is to recommend content. Now, there are several ways to do this. You can share videos, courses, collections, learning pads, and more. But, first, let's take a look at how to find relevant content. Up at the top, I'm going to hover over the Content tab, and, from here, I'll select Featured. This is a very powerful page that allows you to find relevant content. There are several different ways. The first thing to do is to make sure you select the language that you'd like the content to be in. I'm going to keep mine at English. Next, you can click Browse and begin to browse the over 10,000 courses available on the LinkedIn Learning library. So, here, it breaks it down by the library type. We have the business library, creative library, as well as the technology library. Below these are all of the subcategories. So, let's say, for instance, that I'm looking for marketing content. I'll go down here and click Marketing, and it's showing me that there are 8,127 content results for marketing. That's a lot. So, I might want to go over to the left where I can then filter these results. Say I'm only looking for courses at a certain learning level. And as you filter these down, you'll start to find things that are relevant to your situation. You'll then be able to go and recommend those to learners or groups or get a shareable link, and we'll take a look at this in a little while. Now, another way to find content from this page is by using the search bar up at the top, which is extremely powerful. Let's say that I want to find some content for remote workers. Going to type "remote working". I'll put that at Courses again, and you can see over here that we do get ones: Remote Working Foundations, Tips for Working Remotely, Building Relationships While Working from Home, and more, where again, I can go in, then, recommend these to learners, get the links for them, and share them with people. So, another powerful way to find content. Finally, one last way that I want to show you is to go back to that Featured page. Now here, LinkedIn Learning gives you some powerful recommendations, and you'll notice that these rows show different types of recommendations. We have this month's most popular learning paths, things trending in my organization. Here we have recommendations by job title. So, I can click here and go to a specific job title, let's say salesperson, and it then provides me with relevant content. If I find something I like on this page, let's say Sales Fundamentals, I can then go down to More, and, again, share that with learners. I could add it to a learning path or collection, something we'll talk about in a little while, but I could also recommend it. Now, there are three ways to recommend on the LinkedIn Learning platform, to share through Microsoft Teams, or to get a shareable link you can share somewhere else. My recommendation is to use the Recommend to learners and groups because this allows you to track learner engagement. Now, when I click on that, I get this prompt right away allowing me to share this content. So, in here, I could type the name of the person that I want to share it with. Down in the bottom, I could put in a message, and I do recommend that you have a message here telling the person why you are recommending this content. And then if you want, you can also add a due date. So I could click here, Add a due date. In this case, I am not going to add a due date, and, when I'm done, I can go ahead and click Send, and it now shares that content with Alan. So, take advantage of the ability to recommend content on LinkedIn Learning. This is a great way for you to find relevant content that will improve you and your team. You can then share it with them, helping to bring it to their attention and increase engagement. Also, the new Curator role, which is a pro feature, allows you to give permissions for people within your organization to curate and recommend content. This is something I'll talk about in an upcoming video.