

Udacity's AI Trading Strategies course offers a comprehensive, self-paced online learning experience focusing on developing AI-driven trading models. Participants will explore the complete process from ideation to model optimization, emphasizing hands-on practice and real-world application. This course equips learners with the skills needed to build and refine trading models effectively.
Designed for aspiring data scientists and traders
Ideal for those interested in AI-driven finance
Basic programming knowledge recommended
Self-paced online modules with hands-on exercises
Focus on model development and backtesting
Includes practical activities for skill application
Gain skills in AI-based trading model creation
Enhance ability to optimize and backtest models
No certifications are covered by this course.
Student 2020
There are many things that I love about this course, the videos are done with at most thought and professionalism, you also get reasonably fast response from tutors. I can also see that a lot of care was put into double checking if the course doesn't have errors. I was rather disappointed with my first project though - you are unable to "try and error" your code line by line - like in jupyter, as you either pass the test or not, without ever seeing the input. Also, some questions are not realistic and therefore not useful in the real life which is my biggest disappointment.
Student 2020
I have now gone through some MOOCs from different sources, payed or unpayed, and I must say, the Udacity was the most expensive one, but with the best content and best support by mentors and community.At the moment I am doing two courses: One on deep learning with PyTorch, and the other on AI in trading. Both have exceptionally good content and breadth, and I really enjoy working through it and facing the challenge projects. I wouldn't know whether a face-to-face university program would be any better. At least I can compare it with my own academic past, and the MOOC and Udacity is better. This is the future!
Graduate 2019
I loved the program. The first 3 projects were very basic, but everything after project 4 was great. You get introduced to alpha research, portfolio optimization and backtesting. In some of the projects you use Zipline, Quantopian's open source library.
While of course, it's not expected for them to provide trading strategies to you, the applications of AI to trading seem relevant. You use neural networks, NLP, and random forests, among other models, in ways that are appliable to real trading research.
Most of the instructors from Udacity do a very good job explaining the courses concepts, both theory and programming. The first 3 projects touch some subjects very briefly and without much depth, which was a bit disappointing, but understandable because of the breath of knowledge required for Quantitative Trading. The pace after project 4 picks up considerably though, and you get a challenging sequence with many subjects and approaches that were new for me, as well as suggestions to deepen your knowledge.
The instructors they brought from the industry were excellent too.
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