Blockchain and Deep Learning: Future of AI

Jobs Training for the Future
Rating: 3.9 out of 5 (432 ratings)
16,048 students
Blockchain and Deep Learning: Future of AI
Rating: 3.9 out of 5 (432 ratings)
16,048 students
A specific idea of the next generation of AI tools integrating deep learning algorithms and blockchain technology

Requirements

  • A general awareness of the disruptive potential of emerging technologies
Description

This course provides a conceptual overview and technical summary of the two top job growth areas worldwide: blockchain technology and deep learning. The course discusses how these technologies may be used together in deep learning chains. Some of the important application areas are autonomous driving, health care, energy, and finance.

Who this course is for:
  • Entrepreneurs, scholars, business executives, strategic thinkers
Course content
3 sections • 7 lectures • 1h 21m total length
  • Introduction
    08:15
  • Intro to Blockchain
    07:43
  • Intro to Deep Learning
    07:46
  • Deep Learning Chains
    07:17
  • Blockchain Payment Channels: intro
    04:29
  • Blockchain Payment Channels: economic impact
    38:13
  • Blockchain Economics
    07:37

Instructor
Blockchain Theorist, New School University, NYC
Melanie Swan
  • 4.2 Instructor Rating
  • 3,212 Reviews
  • 44,680 Students
  • 2 Courses

Melanie Swan is a Philosopher and Economic Theorist at the New School University in New York NY. She is the author of Blockchain: Blueprint for a New Economy. Her education includes an MBA in Finance from the Wharton School of the University of Pennsylvania, and a BA in French and Economics from Georgetown University. She is a faculty member at Singularity University.