Online Course – Certified Professional Internship in Mind and Machine from the University of Colorado Boulder

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Professional Certificate

Beginners

No prior knowledge required

Time to complete the course

7-day free trial

No unnecessary risks

Skills you will acquire in the course

  • Communication skills
  • Critical thinking
  • Troubleshooting
  • Time management
  • Teamwork
  • Independent learning
  • creativity
  • Technological skills
  • leadership
  • And as a minister, he builds relationships.

What you will learn in the course

Courses for which the course is suitable

  • Artificial Intelligence Expert
  • Computer Science Researcher
  • Cognitive psychologist
  • Machine learning algorithm developer
  • Neurologist
  • Consultant in the field of evolutionary psychology
  • Game theory researcher
  • Philosophical workshop facilitator
  • Brain and Machine Data Analyst
  • Artificial Intelligence Software Developer

Internship – a four-part course series

This specialization examines the ways in which our understanding of human thinking is illuminated and challenged by the emerging techniques and ideas of artificial intelligence and computer science. Our shared understanding of “minds” – biological and computational – has been revolutionized over the past three decades, thanks to topics originating in fields such as:

  • Cognitive psychology
  • Machine learning
  • Neurology
  • Evolutionary psychology
  • Game theory

Among other things, this specialization focuses on both the broad timeline of these changes and current research directions and controversies.

Hands-on Learning Project

By completing the Brain and Machine specialization, students will be able to:

  • Show understanding of topics and strategies through tests
  • Discuss and examine different claims and interpretations of philosophical problems in peer-led discussions and activities

Details of the courses that make up the specialization

What is “thought” and what is artificial intelligence?

Course 1

  • 7 hours
  • 4.4 (143 ratings)
Course Details
What you will get:
  • A detailed description of the Turing test, including its purpose, limitations, and potential implications.
  • A detailed description of Searle’s Chinese Room thought experiment, including its purpose, limitations, and potential effects.
  • Discussion of past and current attempts to create artificial systems that can pass the Turing test in various fields.
  • Calculation and description of limits of exponential and factorial growth functions.

Problem solving methods

  • 6 hours
  • 4.4 (168 ratings)
Course Details
What you will get:
  • Assigning human and computational problems to different definitions of difficulty and problem-solving techniques.
  • Using problem-solving strategies to break down problems.
  • Describe the effects of various sources of judgment and decision bias.
  • Analysis and application of heuristic and probability models in a variety of decision-making scenarios.

Computer vision

  • 8 hours
  • 4.4 (62 ratings)
Course Details
What you will get:
  • Apply different models of human and machine vision and discuss their limitations.
  • Demonstration of the genius model for object recognition and its limitations.
  • An argument about the advantages and disadvantages of the symbolic and visualist perspectives of mental imagery.
  • Identifying single-layer and multi-layer neural network models in artificial intelligence.

Interpersonal, developmental, and evolutionary perspectives of thought

  • 12 hours
  • 4.3 (33 ratings)
Course Details
What you will get:
  • Model the effects of multiple decision-maker systems in a variety of decision-making scenarios.
  • Analysis of the prisoner’s dilemma and other game theory scenarios as a model of decision-making and behavioral adaptation.
  • Discussion of connections in models of genetic evolution and developmental models of judgment and decision-making.
  • Implementing the design of autonomous agents as artificial life.