Earlier this week, I added my 61st certification to my LinkedIn profile. This relentless push towards certification was to transition from developer to data scientist.

The COVID-19 pandemic has transformed the job market and accelerated the demand for all kinds of technical skills. Many people are looking to reskill and change careers.

Here’s a report on the impact of the pandemic on jobs, skills and certifications based on data from the firm’s latest reports IT Skills Demand and Pay Trends Report and the IT Skills and Certifications Volatility Index.

For example, edge computing for the Internet of Things (IoT), security control at the device level, and “hyperautomation“/robotic process automation are just some of the areas of expertise that are hot and getting hotter due to pandemic-induced changes in consumer habits, growing security threats and industry realignments, according to David Foote, chief analyst with Foote Partners, LLC. Meanwhile, formerly hot specialties such as data privacy and carbon-reducing technology have seen slackening demand.

caitlinV3 explains how she passed the Security+ exam in under two weeks.

Everyone’s study prep and technical background will be different, so I realize some can study for 1 day and pass the test and others will need a few months. This is what worked for me in studying for the SYO-501 Security+ Certification from Comptia.

Are you a developer implementing, coding or maintaining cloud or edge components of IoT solutions?

Is part of your job to manage devices life cycle – set up, configuration, and maintenance – using cloud services?

Do you design IoT solutions including device topology, connectivity, debugging, and security?

Do you implement solutions to manage, monitor, and transform data related to IoT?

If these job responsibilities sound familiar, I have a great opportunity for you to showcase your skills and be recognized for them: Take AZ-220 exam: Microsoft Azure IoT Developer.

Hear more about the new Microsoft Certified: Azure IoT Developer Specialty and resources to learn how to build IoT solutions with Azure IoT. Visit http://aka.ms/azureiotdeveloper to learn more about the Azure IoT Developer Specialty.


Here’s an exam that would be getting in any economy, but especially valuable in the current environment.

In the last few years, Artificial Intelligence, Machine Learning, and DevOps projects have grown to become the most promising career avenues. It not only pays well but also provides ample opportunities to make a significant impact on Digital Transformation journeys for enterprises and SMBs. In the last 18 months, we have learned the importance of AI and Machine Learning and its role in transforming business infrastructure. Today, we see thousands of IT professionals signing up for Data Science courses to join the Big Data Economy. And, with COVID-19 forcing staff to work from home, we decided to recalibrate Data Science objectives for 2020. And guess what, TensorFlow Developer Exam features right at top of our list.

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