LinkedIn 6 Free Courses For Beginner-Level AI Courses Enroll Now 2024


Artificial intelligence (AI) is rapidly transforming our world, creating exciting new opportunities across various industries.LinkedIn Learning, a leading platform for professional development, offers a fantastic selection of LinkedIn 6 Free Courses specifically designed for beginners in the fascinating world of AI.

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LinkedIn 6 Free Courses

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About the LinkedIn

LinkedIn is a business and employment-focused social media platform that works through websites and mobile apps. It was launched on May 5, 2003, by Reid Hoffman and Eric Ly. Since December 2016, LinkedIn has been a wholly-owned subsidiary of Microsoft.

The platform is primarily used for professional networking and career development and allows jobseekers to post their CVs and employers to post jobs. From 2015, most of the company’s revenue came from selling access to information about its members to recruiters and sales professionals. LinkedIn has more than 1 billion registered members from over 200 countries and territories.

LinkedIn allows members (both workers and employers) to create profiles and connect with each other in an online social network which may represent real-world professional relationships. Members can invite anyone (whether an existing member or not) to become a connection. LinkedIn can also be used to organize offline events, join groups, write articles, publish job postings, post photos and videos, and more.

Eligibility Criteria

LinkedIn Free Courses For College Students any Stream.

LinkedIn 6 Free Courses Name

1. Introduction to Artificial Intelligence

– Artificial intelligence systems are now finding their way into the workplace. These systems can discover new pharmaceuticals, recommend products, detect fraud, and much more. This course will give you a high-level overview of artificial intelligence concepts and technology.

You’ll see what it means for systems to be intelligent, then discover some widely used machine learning algorithms and artificial neural networks. Many of those who interact with these systems will be people just like you, people in business, entrepreneurs, managers, or students.

Just as managers work with software developers today, these same managers will work with AI systems and data tomorrow. So let’s see what those machines have been up to in the world of artificial intelligence.

Course Link Click Here

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2. Midjourney:

– If you type imagine, it will come. Over the past year, generative AI text to image apps, or what is known as text to image prompting, have taken the world by storm. Midjourney is one of these apps. It was created by an independent research lab of the same name. Midjourney at the time of this recording is currently on version six alpha. It is the most accurate and photorealistic version yet.

But don’t be shocked if you’re looking at something that’s even more in the future based on how quickly midjourney updates. This is where you come in. By understanding how Midjourney works, you can see how it can be used in a variety of creative disciplines, including storyboards, UX mockup design, logo creation, seamless textures, assets for gaming and animation to name a few. Even if you are on the sidelines of this new technology, having a foundation in how Midjourney works can help foster continued informative dialogue that will shape this future of us as creatives.

Hi, I am Nick Horas, and I’d like to welcome you to this course on Midjourney, tips and techniques for creating imagery. In this course, we’ll take a look at setting up a Midjourney as well as Discord account in order to process images. Every now and then, Midjourney does open up a free trial that you might be able to take advantage of. Let’s hop right into the course content and start to imagine.

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3.OpenAI Assistants API

– Let’s be honest. Integrating AI chat in your applications using the OpenAI API has been a bit of a pain. You have to manage your own state, store every message and response somewhere, and then return it back with each request.

And configuring more advanced features was simply not possible in the API. You have to build it somewhere else. Well, I have some great news. The new Assistants API solves most of these problems and gives you more features and capabilities to boot.

OpenAI Assistants is the developer version of Chat GPT’s GPTs. And through this API, you can create your own custom assistance with stateful chat threads, custom capabilities through tools like the code interpreter and content retrieval, and even multi-step function calling.

The OpenAI Assistants API removes the barrier to developing your own custom AI assistance for inclusion in any app you care to build. And I’m here to show you how to get it right. So let’s get cracking.

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4. Generative AI 

– AI has taken the world by storm, and that has everybody asking a lot of questions. Will AI replace me? What can’t AI replace? How can I leverage AI for my own job? But there’s one thing that AI can’t replace, and that’s the human element. What AI can do is assist us.

It could help us brainstorm, get over writer’s block, come up with topics, repurpose content, and make our podcast more accessible. That’s exactly what we’ll cover in this course. Hi, I’m Joe Casabona, a podcast coach and producer who’s been podcasting since 2011. Join me in my LinkedIn Learning course, which will show you how to leverage generative AI for podcasting.

Course Link Click Here

5. Excel and ChatGPT: Data Analysis

– [Instructor] Before we dive into specific AI tools like ChatGPT and Google Bard, it’s worth taking a step back and understanding the broader AI landscape. Artificial intelligence is a very broad term that relates to machines and computer systems that mimic functions associated with human intelligence like decision-making, image recognition, self-driving cars, and more. Within the field of artificial intelligence lies machine learning.

These are going to be the models that act as the brains of artificial intelligence systems. They help computers learn with minimal human instruction and get more accurate when exposed to more data. And that more data piece is critical in explaining why we’ve seen an explosion in AI and machine learning in the past few decades. With the proliferation of the internet, mobile devices, internet of things, we’re now generating more data than we ever have and that’s enabled machine learning to become more accurate than it ever could have been prior to some of these inventions. And within machine learning lies deep learning.

This is a very complex family of algorithms that’s designed to mimic the human brain and learn almost exclusively without human interourse vention. Large language models like ChatGPT and Google Bard fall within this category.

And speaking of the human brain, there’s still one area where these models are not able to approach what humans are able to do and that brings up the conversation between weak versus strong AI. Currently, we’re in this state of weak AI, which is defined as AI that can only perform specific tasks. So for example, ChatGPT could tell you how to drive a car if you asked it, but if you asked it to drive your car for you, it couldn’t do that even though it surfaced all of this knowledge that you’d need to drive a car. Strong AI, or artificial general intelligence, would be able to do that at some point in the future.

This is often what’s depicted in science fiction and often what is very scary to many folks about this field. These systems would be able to learn and perform any task that a human could do. So if you could ask ChatGPT, “Can you go buy me groceries today?” And it was able to solve all of the problems that it needed to without your intervention, that would be much closer to strong AI than we are today.

Course Link Click Here

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6. Generative AI in finance

– What if you could unlock the secrets of your financial data, not by poring over spreadsheets, but by conversing with artificial intelligence as if it were a seasoned financial advisor. Sounds revolutionary, doesn’t it? Well, it’s happening now.

Generative AI is not just a tool, but a paradigm shift in corporate finance and accounting. It’s not just about doing the same things faster, it’s about freeing you and your team to do entirely new work that adds value. I’m Glenn Hopper, and I’ve worked at the intersection of finance and technology for the past two decades. I’ve seen a lot of technology change in that time, but I’ve never been as excited as I am about this new world of AI.

As I like to say, we’re moving from mindless tasks to mindful and meaningful work. AI gives us the tools to move finance and accounting from the label of just a cost center to that of a strategic partner. Let’s dive right in.

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