Hardware Podcasts

227: Half of Everything Is Wrong

Embedded.fm · 21 Dec 2017 · 1h 08m · Episode 227

What this episode covers

Anthony Navarro, Product Lead for Robotics and Self-Driving Car programs at Udacity, discusses the company's pedagogical approach, including the use of the Dreyfus model of skill acquisition to define job readiness. He explains how Udacity balances breadth and depth in its nanodegrees, the importance of paid programs for completion rates, and the value of trunk skills versus leaf skills in engineering education. The conversation also covers the challenges of teaching rapidly evolving fields like deep learning and the unique opportunity for students to deploy code on Udacity's physical self-driving car.

Most relevant to

companies scaling up

Topics

Mentioned

Companies
Udacity, Lockheed, Boldport, Lyft, Google
Products
AI for Robotics, Self-Driving Car Nanodegree
Tools
TensorFlow
Also
Sebastian Thrun, Stanford

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