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!