When I started to pivot my career towards data science, there was not a well-worn path from app developer to data scientist. In fact, I encountered more than a few naysayers when I started.

Now in 2019, there are multiple paths forward. Many require significant financial investment, but not all do. All require a fair bit of time commitment.  Here’s a great compiled list of free resources.

In 2016, I started the Microsoft Professional Program in Data Science when it was released to the public. At the time, I was changing my career vector from an ace Windows app developer to the Data Science and AI world. The program, the first of its kind for Microsoft, provided me with the means and the tools to achieve ninja status quickly and reboot my career. They are also, when compared to university programs, much more affordable.

In the years since, Microsoft has added more professional programs, from Cybersecurity to DevOps. Naturally, I took and completed the tracks for AI and Big Data. You can hear Andy Leonard and I talk about our experiences with the program and how they differ from traditional MCP programs in this episode of Data Driven. Or click on the play button below.

Now, the team has added an IoT track to the list, which can help accelerate anyone’s career in this fast-growing and world changing field: IoT.

This new program will teach you the device programming, data analytics, machine learning, and solution design skills you need for a successful career in IoT. Learn the skills necessary to start or progress a career working on a team that implements IoT solutions.

And, in case you’re wondering, I signed up and so should you: https://aka.ms/mppiot

Siraj Raval breaks down 7 ways that anyone can earn money from anywhere in the world using machine learning. We”ll start by taking a look at whats called the “AI Value Chain” to learn who is currently making money in machine learning so that we can better chart out where we can contribute to the space. From startups, to competitions, to writing books, he covers a lot of material in this one video.