June: Finish Machine learning course 1 for Python, scipy, numpy, pandas, scikit learn. Finish book on Elixir Learn enough about Docker and AWS to get a small app written with Elixir/Phoenix as an API with React front end with Redux or Mobx. Finish up TeDB(embedded Typescript Database) with my friend and continue collaboration with the FeatherJS team to create storage drivers for it.
July: Finish Course 2,3,4,5,6,7,8 on ML and Tensorflow(Udemy Lazyprogrammer). Start Learning Scala, Spark and Hadoop to work with Tensorflow and the python API to do unspeakable things. Possibly start working on another database with same developer of TeDB. Become a master of Docker.
August: Learn the Ins and outs of Docker and AWS continuous integration. Build on my Elixir/scala/spark/python/tensorflow skills. Stay master of Javascript/Typescript.
September: Hopefully still continuous growth in the fields listed above.
October: Start working on writing ML libraries for Elixir/ Math Libraries
November: Continue work on Elixir ML libraries
December: Publish first Elixir ML library
This exact moment last year I was learning Javascript/css/html from codecademy.com.
Marcus
Full Stack Developer