The Future of Artificial Intelligence

The Future of Artificial Intelligence

This course teaches what every student should know about Artificial Intelligence. AI is a fast-moving technology with impacts and implications for both our individual lives and society as a whole. In this course, students will get a basic introduction to the building blocks and components of artificial intelligence, learning about concepts like algorithms, machine learning, and neural networks. Students will also explore how AI is already being used, and evaluate problem areas of AI, such as bias. The course also contains a balanced look at AI’s impact on existing jobs, as well as its potential to create new and exciting career fields in the future. Students will leave the course with a solid understanding of what AI is, how it works, areas of caution, and what they can do with the technology.

Purchased Courses are non-refundable. Academy subscriptions are refundable for 14 days according to the terms of our Refund Policy.

Category

Description

What You’ll Learn
Associated Careers
  • Key business and financial terms related to artificial intelligence (AI), algorithms, machine learning, and AI applications
  • How AI is designed and how people interact with AI
  • About areas of potential bias built within AI applications, and how they can have harmful effects on society
  • The possible career paths within the field of AI
  • The impact of the AI on the future of jobs and the workplace
  • and more…
  • Machine Learning Engineering
  • Robotics Engineering
  • Computer Vision Engineering
  • Data Scientist
  • Algorithm Specialist
  • and many more…

 

What You’ll Create
Associated 21st-Century Skills
  • Differentiations between AI, machine learning, deep learning, and neural networks.
  • Evaluations of key AI applications.
  • Evaluations of the mechanics of how AI is used in picture/video recognition, and biometrics analysis
  • Decision tree algorithms
  • Report of four drivers behind the emergence of machine learning: 1) improvements in computing speed/memory, 2) transition from physically to electronically stored data, 3) easier access to data through the internet, 4) low-cost, high-resolution digital sensors.
  • and more…
  • Problem-identifying and solving
  • Critical and Analytical thinking
  • Creativity, Collaboration, and Communication
  • Integrity, Perseverance, and Resilience
  • Decision-making
  • Failing successfully
  • and more…

 

System/Equipment Requirements
  • A general word processing program (Word, Google Doc, etc.)

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