Here Are 100 Free AI Courses to Expand Your Professional Skills

Many people are still wary of artificial intelligence or AI, thanks to the negative portrayal of the technology in science fiction and films. But what many don’t realize is how AI makes lives easier and more convenient.
The future is geared toward AI, and companies know it. That’s why growth in AI-related fields is expected to grow rapidly in the next couple of years. To grow professionally, we also have to adapt and learn new skills.
Based on LinkedIn’s latest data, the fastest-growing AI-related skills among professionals in 2022 all hint at the emergence of generative AI, a form of AI that has a wide range of applications, including creating text, images, and audio as well as writing code.
In the Philippines, there is a new bill seeking the creation of an AI development authority. The country plans to accelerate the adoption of this disruptive technology and reap economic benefits from it.
LinkedIn has released 100 LinkedIn Learning courses on generative AI in various languages for free. It is available from March 16 to June 30, 2023.
The complete list of courses, available here, covers the following:
- Beginner courses such as Responsible AI: Principles and Practical Applications and Foundations of Responsible AI and intermediate and advanced courses like Hands-On PyTorch Machine Learning and Advanced AI: Transformers for NLP using Large Language Models.
- Courses relevant to those in the tech industry, including Next Generation AI: An Intro to GPT-3, Power BI: Integrating AI and Machine Learning, and Artificial Intelligence for Cybersecurity.
- Courses in HR, including Applied AI for Human Resources, Tech On the Go: Ethics in A, and Artificial Intelligence for Project Managers.
- Courses in marketing and sales, including Artificial Intelligence for Marketing, Nano Tips for Using Generative AI Tools for Better Marketing Outcomes, and Artificial Intelligence and Business Strategy.
- Courses for business leaders, including Artificial Intelligence for Business Leaders, Mistakes to Avoid in Machine Learning, and Artificial Intelligence and Business Strategy: Case Studies.