Aspiring robotics engineers with a background
in programming can find artificial intelligence courses within advanced
online certificate programs, though there are sparse options for novice
candidates.
Overview of Online Artificial Intelligence Courses
Both online- and campus-based universities offer graduate-level
certificate programs for artificial intelligence (AI) that can be
completed through the Web. Most online artificial intelligence programs
are designed for working software engineers or graduate students, and
several advanced mathematics and computer
programming
prerequisites are strongly recommended. Generally, program length is
around one year with some variation between schools. With an extensive
knowledge of AI, those who complete these online programs may choose to
take further programming courses or enter research or academic fields
with a focus in
robotics.
Course Requirements
There is generally no specific discussion forum software required for
online artificial intelligence programs, but students need a reliable
Internet connection and are strongly recommended to use browsers that
can support extensive video viewing. AI classes are offered through
prerecorded lectures, downloadable assignments and e-mail correspondence
with the instructor. Some programs may require the additional purchase
of a course textbook, which can usually be ordered online.
List of Online Classes in Artificial Intelligence (AI)
Robotics Introduction Course
The material in this class provides an overview of artificial
intelligence, from its history to the extent of modern research in the
field. Students may learn about the mathematical and logistical elements
of robotics, as well as the philosophy of artificial intelligence,
kinetics and program design. The class format generally consists of
reading assignments, weekly graded coursework and lectures transmitted
through the Web.
Elements of Language Processing Course
This class is generally offered at the beginning of AI programs. It
covers developments in the field of natural language processing (NLP)
and the function of linguistic reasoning capabilities in computers.
Students learn algorithmic and programming approaches to artificial
understanding of language. They also examine modern developments such as
voice recognition software. Coursework may include graded programming
assignments and quizzes.
Computer Processing Network Course
This class covers the programming of neuron simulation that is
integral to the visual recognition of AI robots. Lessons also discuss
the application of advanced neuron network simulation to real-world
situations in environmental robotics and the finance sector. The course
is closely related to machine learning, and may be offered as an
elective or as a component of a broader AI course.
Visual Processing and Machine Learning Course
Students learn techniques for programming machine reasoning in this
class. They study pattern recognition, learning theory, algorithm
development and bioinformatics. Emphasis is placed on converting
artificial data processing via applied problem solving and logic.
Generally, students complete several relevant assignments throughout the
course, as well as a final project. This class is usually offered near
the end of AI programs.
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