Our continuously changing digital world demands a growing need for experts in the fields of Artificial Intelligence (AI) and Machine Learning (ML). With the launch of intelligence tools like ChatGPT and Midjourney, among others, the emergence of AI marks a significant milestone in the history of technology.
AI has become one of the most rapidly evolving fields of computer science in recent years. The development of AI is driven by the desire to create machines that can perform complex tasks that were previously thought to be exclusive to human intelligence. AI technology has revolutionised industries and transformed the way we live, work and interact with the world around us.
As the field of AI continues to evolve, we can expect to see even more professionals breaking grounds with significant advancements in the coming years, with the potential to transform society as we know it.
Edugist has compiled a list of 12 free online courses to learn AI/ML. These courses, created by prominent firms and educational institutions, offer education, certification, and even university-degree credits to help learners find a job in artificial intelligence.
12 free online courses to learn AI/ML
S/N | Course name | Platform | Time to complete | Level |
1. | Intro to Machine Learning | Udacity | 1 week | Beginner |
2. | Welcome to Artificial Intelligence | Udemy | 49 minutes | Beginner |
3. | Machine Learning for All by University of London | Coursera | 21 hours | Beginner |
4. | AI For Everyone by DeepLearning.AI | Coursera | 10 hours | Beginner |
5. | Machine Learning by Georgia Tech | Udacity | 4 months | Intermediate |
6. | What is Machine Learning? | Udemy | 2 hours | Beginner |
7. | Machine Learning by Edureka | YouTube | 10 hours | Beginner |
8. | Machine Learning by Simplilearn | YouTube | 10 hours | Beginner |
9. | Machine Learning by Great Learning | YouTube | 10 hours | Beginner |
10. | Intro to Artificial Intelligence | Udacity | 4 months | Intermediate |
11. | Machine Learning: Unsupervised Learning | Udacity | 1 month | Intermediate |
12. | Machine Learning by Columbia University | edX | 12 weeks | Advanced |
I appreciate the clear differentiation between the various theoretical perspectives, which helps in understanding the broader context.