1.Introduction to Artificial Intelligence (AI) – Delve into the basics of AI, its applications, and its potential impact on the job market.

2.Machine Learning for Data Science and Analytics – Learn the principles behind machine learning and understand how algorithms can predict with data.

3.Data Science: Machine Learning – Discover how to build effective machine learning models, run data pipelines, build recommendation systems, and deploy solutions to the cloud.

4.Principles of Machine Learning– A more in-depth course focusing on foundational machine learning algorithms.

5.Artificial Intelligence: Implications for Business Strategy – This course is perfect for professionals curious about how AI can be leveraged in business.

6.AI For Everyone: Master the Basics – Understand what AI can (and cannot) do with this introductory course aimed at a non-technical audience.

7.Deep Learning Explained– Get to grips with deep learning, one of the hottest fields in AI.

8.Fundamentals of Neural Networks – Learn about neural networks from scratch including their architecture and how they are trained.

9.Introduction to Python for Data Science – Python is a critical tool in AI; this course provides the essentials you’ll need to use Python effectively.

10.Quantum Machine Learning– Explore how quantum computing is changing the landscape of machine learning and AI.

11.Ethics and Law in Data and Analytics – Investigate ethical considerations and legal boundaries surrounding data-use in AI technologies.

12.Building AI Applications with Watson APIs – Learn how to build your own AI applications using Watson’s suite of APIs.

13.Robotics: Dynamic Systems and Control – This course provides insights into robotics that are integral to understanding certain aspects of AI systems.

14.Human-Computer Interaction for User Experience Design – Study the design and evaluation of user interfaces which is a significant component of AI technology.

15.Knowledge-Based AI: Cognitive Systems- Dive into cognitive systems that exhibit human-like intelligence through this challenging program.

16.Natural Language Processing (NLP) – Explore how to process and analyze large amounts of natural language data with this course.

17.Autonomous Mobile Robots – Learn about the decision-making process in autonomous mobile robots, which is fundamental knowledge base for those interested in AI-powered robotics.

18.Data Science Ethics- Examine ethical practices necessary to maintain public trust in AI technologies as they become integrated into daily life services.

19.The Analytics Edge – Discover how analysts gain competitive advantage for businesses using sophisticated data analysis techniques featuring numerous real-world applications from sports to healthcare.

20.CS50’s Introduction to Artificial Intelligence with Python – Harvard’s CS50 provides a broad overview coupled with hands-on projects about fundamental concepts in artificial intelligence, including knowledge representation, probabilistic inference, machine learning, among others through Python programming language.

Note that while some courses on edX can be audited for free which allows access to lecture videos and readings, certifications or graded assignments may require a fee. Happy learning!