If you’re looking to take the Microsoft AI-100 exam, then study everything mentioned in this blog post carefully. Mario Mendieta compiled this handy list of resources from Microsoft docs, Microsoft Ignite talks and video lectures, Pluralsight courses, and official Microsoft blog posts.

Here’s a list of the skills and objectives measured on the AI-100 exam, taken from the official exam’s objective. The percentages next to each objective area represent the number of questions that you will find in that area on the exam. Below each topic, you will find links to the resources that I have found helpful.

If you’re looking to take the Microsoft exams of DP-200 and DP-201, then you need to read this blog post carefully and study everything recommended in it.

It helped me to pass both tests with flying colors and, since the contents of both exams are similar, this one post will help you with both.

Also, I recommend taking DP-201 before taking DP-200.

Here’s a list of the skills and objectives measured on the DP-200 exam, taken from the official exam’s objectives. The percentages next to each objective area represent the number of questions that you will find in that area on the exam. Below each topic, you will find links to the resources that I have found helpful.

The PASS Data Science Virtual Group had a great session on the DP-100 exam (Designing and Implementing a Data Science Solution on Azure).

Until this month, the exam had been in beta: however, the presenter has just passed the exam (first try). The purpose of this event is to share a viewpoint on how to study for the exam. Today, there are multiple ways to develop and deliver and deploy R or Python or Spark or deep learning models on Azure. The differences are important for this exam.

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