AI Training Resources for Any Level of Expertise

There’s no question about it: artificial intelligence (AI) will play a significant role in the future of business. As a result, those individuals taking the time to learn and develop these skills will be in high demand.

Don’t be intimidated! Chances are, learning AI at a basic level is probably easier than you think. However, if you already understand the fundamentals, there are many ways to become more advanced or specialized.

LinkedIn Learning has a wealth of AI training resources to support your journey. Read on to learn how you can acquire these skills, and how doing so will make you more efficient, effective, and innovative as a professional.

AI training resources to build your proficiency

From beginner to advanced, from machine learning to generative AI, these courses and resources run the gamut of AI technology and its emerging applications across the business world. 

Learn basic AI skills.

At its core, artificial intelligence is driven by rules and patterns. Learning to set up, design, and manipulate these rules and practices is the first step to getting value from the technology. Courses like these will help you understand how commonly-used AI tools work and how to use them.

Introduction to Artificial Intelligence with Doug Rose: Here, you’ll gain a grasp of AI in a simplified way. Rose does a great job explaining the technology’s underlying concepts with metaphors and relatable references. 

Artificial Intelligence Foundations: Machine Learning with Kesha Williams: Machine learning is critical to AI and its most powerful applications. Williams breaks down the different ways machines learn, popular machine learning algorithms, common challenges, and more. This is the most viewed AI course on LinkedIn Learning.

What Is Generative AI? with Pinar Seyhan Demirdag: ChatGPT and other generative AI tools are all the rage right now, and with good reason – they’re among the easiest and most accessible ways to use the technology. In this course, the AI Director at Seyhan Lee describes generative AI as “a tool in the service of humanity” and provides a basic overview of the leading models.

Want to take a complete crash course? The LinkedIn Learning path Getting Started with AI and Machine Learning gets you progressively up to speed, and completion even qualifies you for official academic credit at select partner universities globally.

Develop AI skill specializations.

Once you’ve fully understood AI, machine learning, and neural networks, you can explore specific use cases and applications. Here’s where you can refine your specialized skills to stand out in your area of interest.

These are some examples of how AI can elevate a variety of roles, functions, and specializations:

• Becoming an AI-First Product Leader with Tomer Cohen: LinkedIn’s Chief Product Officer focuses on developing an AI-first mindset as a product leader and the many new opportunities it can open.
• Artificial Intelligence for Cybersecurity with Sam Sehgal: The cloud and application security expert demystifies AI for security while showing how it can solve complex problems.
• AI in Fintech: Essential Training with Michael McDonald: The world of finance is changing as fast as any; McDonald touches on everything from Robo advising and online lending to cryptocurrencies and the future of money.
• Learning XAI: Explainable Artificial Intelligence with Aki Ohashi: XAI, per the course, “is a solution that increases the transparency about how AI systems make decisions and take actions.” It’s a valuable insight for any business leader who wants to get the most out of machine-human collaboration.
• Introduction to Prompt Engineering for Generative AI with Ronnie Sheer: Want to do cool stuff with publicly available generative AI tools like Chat-GPT and Dall-E? As the software developer Sheer explains, it’s all about knowing how to construct prompts that get exactly what you’re looking for.

Interested in staying on top of what’s new in the fast-changing world of AI? Check out the new course AI Trends.

Build intermediate and advanced AI skills.

The proliferation of artificial intelligence didn’t come out of nowhere – it has long been building. But by all accounts, AI’s advancement in power and adoption will keep charging ahead at high speed. 

Equipping yourself with more advanced skills can be a great way to move ahead of the curve and add differentiating expertise in the new era of business.

Diving deeper into the inner workings of neural networks is a great way to unlock the capabilities of machine learning. Courses like these show you how to do it in various ways and even include hands-on exercises:

• Neural Networks and Convolutional Neural Networks Essential Training
• Recurrent Neural Networks
• Training Neural Networks in Python

For current or aspiring business leaders who want to drive transformation in their organizations, the course Artificial Intelligence and Business Strategy from Anil Gupta and Haiyan Wang can be your key to a competitive edge. They’ll show you how to build robust data pipelines, deploy AI for deep market research, optimize the supply chain, and much more. 

Want to see the power of AI for business in action? These case studies offer practical inspiration.

LinkedIn’s extensive library of AI content is constantly refreshing to help modern professionals stay on top of their crafts. That includes various intermediate and advanced courses to help you grow your expertise. 

Your journey to AI proficiency has begun. The only question is, which path will you take?