Amazon SageMaker Comes to Udacity’s Deep Learning Nanodegree Program Classroom

We talk with Dan Romuald Mbanga, Global Lead of Business Development for Amazon AI, about teaching students to use SageMaker for training and deploying deep learning models.

Amazon - AWS - SageMaker - Udacity - Deep Learning

Deep Learning is one of the most exciting technology fields in the world today, and because Udacity’s learning platform is built to allow for maximum adaptability, our Deep Learning Nanodegree program is one of our most dynamic and future-facing programs right now, as we continue to respond to advances in the field by augmenting and enhancing our curriculum.

We are very excited to share details about the latest additions to our program curriculum, which include new content and projects focused on PyTorch and SageMaker. In a recent post by Cezanne Camacho, Curriculum Lead for Udacity’s School of Artificial Intelligence, we discussed new PyTorch content, and today, we’re going to explore how we’ll be teaching students to use SageMaker for training and deploying deep learning models.

To integrate the incredible new content, we teamed up with AWS and the SageMaker team, and in the updated program, students will train and deploy a sentiment analysis model on SageMaker, then connect it to a front end through an API using other AWS services. After deploying a model, students will also learn how to update their model to account for changes in the underlying data used to train their model—an especially valuable skill in industries that continuously collect user data.

To provide a closer look into the world of SageMaker, we spoke recently with Dan Romuald Mbanga, Global Lead of Business Development for Amazon AI, and a leader of business and technical initiatives for Amazon AI platforms.

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Starting a Startup

This Udacity graduate believes in “Optimizing for Learning.” On the heels of earning his Machine Learning Nanodegree program credential, he’s getting ready to launch his own startup!

Jeremy Jordan - Udacity - Starting a Startup

 

Curiosity is central to Jeremy Jordan’s personality. He even has his own term for how he approaches life—“optimizing for learning.” Jeremy is putting his learning into action now, and embarking on a remarkable adventure. He’s launching his own startup!

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Success and Service

How a Two-Time Nanodegree Program Graduate’s Involvement in His Local Tech Community Led to a Machine Learning Job with Disney

Success and Service - Machine Learning - Udacity

Success can be measured in many ways. For some, it’s about money, fame, status. For others, it comes down to whether you can check certain boxes—house, car, spouse, kids, job, etc. For still others, success is about service. For Michael duPont, it was through serving his community that he ultimately achieved his personal goals.

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3 Industries You Probably Didn’t Know Were Using Machine Learning

Agriculture - Machine Learning - Udacity

Say Machine Learning to someone, and if they recognize the term, they’ll probably think, “tech company.” But while the origin stories of transformative technologies like machine learning, deep learning, and artificial intelligence often seem to take root in Silicon Valley, the truth is these are industry-agnostic innovations. Their impact is being felt across countless fields you might never have thought of as being ripe for technological advancement. Here are 3 industries already implementing machine learning techniques:

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