This Udacity Nanodegree program graduate enacted a full-scale career change to become a Machine Learning Engineer.
Meet Robin Stringer. Robin worked as a journalist, a translator, and a marathon race guide for visually-impaired athletes, before a conversation about coding caused him to reevaluate his long-term career plans.
While he was working for a para-athletics non-profit in New York, he began learning Python online, and in the course of doing so discovered Udacity’s programs. He moved to Seattle and took the opportunity to pursue his coding studies full-time, with the goal of pulling off an audacious career change. After studying some of Udacity’s free courses, he started the Self-Driving Car Engineer Nanodegree program and got his first taste of machine learning. After a lot of work, he successfully landed a full-time role as a machine learning engineer.
We chatted with Robin to learn how he made his career change happen.
After twenty years as a software engineer, this lifelong learner decided to enroll in Udacity’s Machine Learning Nanodegree program, and he now has an amazing new role as a Data Scientist!
Over the course of his twenty-year career in software development, Antal Berenyi has learned many important lessons. Perhaps the most important of these is the need to keep learning and redefining what you do. Antal just graduated from Udacity’s Machine Learning Nanodegree program, and he’s now applying the skills he learned in the program to a new data scientist role. He’s a passionate advocate for the positive impact machine learning can have on society, and he’s made it his mission to play a leading role in making this happen.
We spoke with Antal to learn how he acquired his new machine learning skills, and how he used his project portfolio to land his new role.
We’re excited to announce that Udacity and Amazon Web Services (AWS) Educate are teaming up to support our students as they go beyond learning AI, to actually building powerful AI models in the real world!
Starting on April 19, all Machine Learning Engineer Nanodegree program students are eligible for complimentary AWS Promotional Credits to explore AWS services, including Amazon SageMaker. This means that our students will be able to harness the incredible computing power of AWS to train and deploy machine learning models faster than ever, without having to worry about hardware.
AWS is the most successful cloud infrastructure company on the planet, and we’re thrilled to bring the power of their services to our students.
We just unlocked a Free Preview of our Machine Learning Engineer Nanodegree Program! Discover amazing new content, and explore your future in Machine Learning, today!
The Machine Learning Engineer Nanodegree program has been one of Udacity’s benchmark programs for over 2 years. Thousands of students have graduated the program, and many have gone on to great careers at companies like Google, Amazon, and more. As technology evolves, so does our curriculum, and we think much of the program’s success can be attributed to keeping the content up-to-the-minute current.
In this post, I’m going to share some exciting new updates to our Machine Learning Engineer Nanodegree program, including enhanced sections on Reinforcement Learning, Supervised Learning, and Unsupervised Learning, plus more conceptual content, new labs, and a cutting-edge quadcopter project!