Udacity

I started learning with Udacity about 2 years ago. Back then I was a business analyst interested in becoming a data scientist. So I decided to take the data scientist nanodegree. It came out to be an excellent program for those who want to start a career in data science: the first term is focused on machine learning and the second one covers even more helpful and important topics. Thanks to this nanodegree I started to write articles and deploying my models with simple web apps. I started to build my own portfolio. 
Udacity also offers scholarship opportunities. Those are incredible. Participation in Secure and Private AI Scolarship with Facebook helped me to connect to brilliant scholars from all over the world and start participation in own open source project. 
Today I am working as a Data Scientist in one of the most famous IT companies in Silicon Valley. This is the best job I ever had. I want to thank Udacity for helping me to change my whole life :)

Good:

The curriculum was broad and quite complete. You get started with the first module of introducing machine learning in general. Then you will be exposed to probably most types of machine learning techniques. From supervised learning to deep learning. So quite worthwhile if you want one course to get know of broad these machine learning techniques.  Another good thing about the Udacity course was, the feedback given after submission. The feedback from markers can help you to learn and allows you to correct misunderstood concepts. 

Bad:

There are coursework or projects for each machine learning technique module. It is a positive point for this online course. However, some project did not expect you to make a fully functional end product. For example, the reinforcement learning project we have to try implementing this technique to fly a simulated drone. So it ended up many students complaint or got confused why they couldn't make it work. Then the instructor advises us that they didn't expect us to submit one that really works. Thus, I felt that some coursework or project was not well planned. or not fit for the purpose. Basically, if you look for building something amazing and works to show your employer or friends then maybe not as you expected. 

I took the Udacity NLP nanodegree when I was in the process of looking for jobs after my graduate program. As an AI major I do believe that the Nanodegree alone is not sufficient to build your skills in the field of AI. However, the Nanodegree does have a good structure of the most important concepts required to learn NLP. The Nanodegree will give you a good headstart for NLP.  Since the focus is on new learners as well, the instructurs work very hard to make the content accessible. That can have its drawbacks and the most important drawback is the lack of rigor. Despite all of the flaws, if you are looking to start your career in NLP and you want to know the most important topics that you can further learn from the internet, I would recommend this Nanodegree. If you are in the market for a job in NLP and you want to do this degree, then I wouldn't recommend it. I would recommend that you spend at least 6 months of training in the actual fundamentals before attempting this Nanodegree.

A great experience!

I thought that I was going to have difficulties with the statistics. But fortunately not only didn't have problems but also fill in some gaps that I had.

Python was awesome, of course!

And in the end, it was SQL. The first and last lesson was easy to follow. The lessons in between need more attention and practise, at least from me.

Thanks for the opportunity that you gave me through the scholarship!

I am currently enrolled in the Intro to machine learning course. The main reason I went with Udacity is because when I was reading the course syllabus I liked that the goal of the course was to teach the curriculum as well as create a job-ready portfolio of projects . I thought this was very valuable to take to an interview. You can find the course syllabus here
Currently we are learning how to use decision trees to predict states within the supervised learning module.

PROS:
Overall I am satisfied with the course, I feel that the price of the course was on par with the level of education I am currently receiving. 
The classes are not boring, the instructors definitely know how to liven up what can sometimes be boring material.

CONS:
It's online so it is hard to stay focused sometimes

The main reason I went with Udacity is because when I was reading the course syllabus I liked that the goal of the course was to teach the curriculum as well as create a job-ready portfolio of projects . I thought this was very valuable to take to an interview. You can find the course syllabus for a course you are interested in here: https://bit.ly/2KtWQCN