No content and no instructor I completed edX's Online Teaching and Learning Strategies course. It was awful and I learned nothing. The course content is little to nothing. Many pages were bullet points of best-practices with no explanation or extension. The course format was the same throughout all 9 modules: Introduction - instructor 30 sec video (which she read from a folded piece of paper) - discussion - summary. It was a waste of time and money.

Auditing Ive audited several edX courses. I like to complete and submit work and know how I progressed, but I don't want a Verified Certificate. The last course I attempted - got half way through then - bammo - couldn't submit work for assessment unless I paid for a Verified Certificate. Come on edX. Tell us at the start of the course if auditing is going to be assessed or not. The course is most interesting (no complaints) and Im going to do the assignments, but I do like feedback.

I bought a $5 course on my favourite… I bought a $5 course on my favourite topic. When the course began, I could see a woman in large glasses in her own kitchen reading a course on the screen. I couldn't be disappointed more. Not in vain the program doesn't offer any refunds or excerpts from the course. My advice: Always trust courses that can offer a refund and can show some excerpt from the course before you'll pay for it.

Knowledge, Practical and Workspace Edx is a great platform to learn from, especially university programs. One course I took and loved was a computer science program by Havard University. The only challenge was that there was no workspace or platform to practice or code-along with your instructor. It would be great if such improvements were made.

Good freemium Good freemium Nice courses, a bit too informative but with a little bit of practice. I started the LLM course and noticed that, the business is inside the databricks workspace you need to purchase! Everything needs money, so even this course does it! It is just hidden behind a (necessary) condition to use the (payable) databricks workspace in order to make experiments with python code using LLM stuff.