Amazon just launched ‘Machine Learning University’ to all developers. It is the same training available for internal Amazon Employees. If you are looking to learn about Amazon Web Services (AWS) offerings for data science, now might be a great time to learn. Plus, Amazon announced some new certifications for machine learning.
There are 4 different learning paths available, depending upon your goals and future job aspirations:
- Business Decision Maker
- Data Scientist
- Data Platform Engineer
The course materials and certifications are available at AWS Machine Learning Training Site.
The following video goes well with the previous post about Open Source Alternatives to AWS.
It says a lot for the quality of OpenStack, since one the world’s most secretive organizations trusts it. OpenStack might be a good option for data teams needing to quickly build and deploy data products.
Note: This post has nothing to do with the recent NSA whistle blower news.
Working with big data can often mean doing some cloud computing. If a public cloud like Amazon AWS is not an option, there are some open source alternatives. They all offer some level of compatibility with the AWS API for both EC2(compute) and S3(storage).
- Rackspace OpenStack
- Apache CloudStack