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AI for Vision


$250 Enroll

Full course description

Self-Paced 10 Hours Digital Badge $250


Course Overview

In this module, we’ll be taking a closer look at deep learning strategies for vision. In the process, we’ll uncover one of the most important properties of modern AI systems, a property that’s shaped the corporate strategy of world-leading tech companies, and that paved the way for the deep learning revolution of the AI 2.0 era. Additionally, we will learn about “transfer learning”, and how this revolutionized the economics of AI. For the first time, companies could justify investing hundreds of thousands of dollars in training huge neural networks, knowing that their weights could be repurposed on new tasks with relatively limited training. The result was a significant consolidation of effort around a smaller number of more expensive AI systems.


What topics will be covered

  • Explain transfer learning, and why it fundamentally changed the economics of AI.
  • How computer vision models powered by deep learning can be used to solve practical problems.
  • Identify what reinforcement learning is, and how it works.
  • Recognize how reinforcement learning can be used in the industry.








  • Mark Beall
  • Edouard Harris
  • Jeremie Harris


Questions & Other Information 

Have questions about this program? Let us know and we'll get back to you!