The world of Artificial Intelligence (AI) is an exciting and rapidly changing one – constantly evolving to offer new solutions and open up opportunities in ways that have never been seen before.
But with all the hype,
it can be difficult for someone without a technical background to make sense of it all.
It can be intimidating, overwhelming even, but not anymore!
Thanks to a growing number of AI courses designed specifically for non-technical people interested in learning AI, getting started has never been easier.
From GPTs to AI agents – this is your chance to get on board with one of the biggest changes in your professional life.
Discover diverse course options from trusted sources like LinkedIn or Coursera (make sure to connect with me on LinkedIn).
Choose from beginner’s AI courses for business guides that provide easy-to-understand introductions to Generative AI basics, as well as more advanced topics like Machine Learning and Deep Learning algorithms.
Learn at your own pace from top instructors, like Andrew Ng, who understand the challenges of navigating a new subject.
Their goal is to inspire you on your journey, equipping you with knowledge about AI applications in our world today.
Here are 5 AI Beginner Online Courses that I’ve taken advantage of to build my knowledge:
1. AI for Everyone by Andrew Ng (Coursera – AI Courses)
One of the most popular AI courses online today, AI for Everyone is an entry-level course accessible to anyone interested in understanding AI.
Taught by renowned Stanford professor Andrew Ng, this course provides a comprehensive overview of AI, machine learning, and deep learning while also placing significant emphasis on the ethical and societal implications of AI.
2. Artificial Intelligence 101 (MIT OpenCourseWare – AI Courses)
This free course is perfect for those new to AI with a background in computer science.
The curriculum covers the basic concepts of AI, such as problem-solving, representation, reasoning, and learning.
MIT OpenCourseWare also offers interactive exercises, such as training your algorithm, so you can apply the lessons to hands-on scenarios.
3. Machine Learning by Stanford University (Coursera – AI Courses)
This course dives deep into core ML concepts/algorithms used in AI systems.
You’ll learn about supervised and unsupervised learning, neural networks, and techniques for working with large datasets.
If you’re short on time, this course may be intense as it takes roughly 55 hours to complete.
4. What Is Generative AI? (LinkedIn Learning Courses)
Generative AI is an emerging field that focuses on creating new content and models from existing ones.
In this LinkedIn course, you’ll learn the basics of generative AI, how it works, and the ethical implications.
The course is designed for beginners or those looking to enhance their knowledge of the topic.
5. Artificial Intelligence Foundations: Thinking Machines (LinkedIn Learning Courses)
This course is a great option for those looking to understand AI’s practical uses and integrate it into big data.
The curriculum is geared towards non-technical professionals and dives into key concepts of AI, including the difference between “strong” and “weak” machines.
Need to Kickstart Your Journey to Learn AI?
With AI becoming increasingly important in today’s world, not having a basic understanding of the technology can put you at a disadvantage.
You might think that learning AI is only for technical experts, but that’s just not true!
Many people without a technical background are eager to learn but struggle to find accessible and user-friendly resources.
That’s where these online courses on AI come in.
They are designed to make learning AI fun, easy, and engaging for everyone.
With these courses, you can gain a solid foundation in AI’s core concepts and take advantage of the opportunities this rapidly growing field has to offer.
