Artificial intelligence Training Courses and Workshops

Schools providing training courses, certificates, diplomas or degree programs of Artificial intelligence




Total 109 training courses and degree programs available around the world.

Computational Intelligence (Master Degree)

Course Format: Public Course / Instructor-Led / Open Enrollment
School/Trainer: The University of Sheffield
Training Center(s)/Venue(s): Sheffield, United Kingdom
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1 year full-time

Our understanding of computational intelligence has already led to advances in our understanding of how the brain works. It also makes applications such as biologically inspired robotics possible.

Taught by experts from the departments ACSE, Computer Science, and the neuroscience group in Psychology, our course prepares you for a career in this field.

Entry requirements

Minimum 2:1 honours degree or equivalent in a numerate subject such as engineering, mathematics or physical sciences.

English language requirements for overseas students

Overall IELTS grade of 6.5 with a minimum of 6.0 in each component or equivalent.

Course content
•Computational Neuroscience
•Machine Learning
•Neural Networks
•Modelling and Simulation of Natural Systems
•Multi-sensor Data Fusion
•Adaptive Intelligence
•Robotics

Teaching
•Lectures
•Seminars
•Tutorials
•Individual assignments
•Major research project

Assessment
•Examinations
•Coursework assignments
•Project dissertation

Artificial Intelligence Programming

Course Format: Public Course / Instructor-Led / Open Enrollment
School/Trainer: Lehigh University
Training Center(s)/Venue(s): Bethlehem, United States

The use of LISP and related languages to simulate intelligence on computers.

Artificial Intelligence

Course Format: Public Course / Instructor-Led / Open Enrollment
School/Trainer: Lehigh University
Training Center(s)/Venue(s): Bethlehem, United States

Introduction to the field of artificial intelligence: Problem solving, knowledge representation, reasoning, planning and machine learning. Use of AI systems or languages. Advanced topics such as natural language processing, vision, robotics, and uncertainty.

Artificial Intelligence (Master Degree)

Course Format: Public Course / Instructor-Led / Open Enrollment
School/Trainer: University of Leeds
Training Center(s)/Venue(s): Leeds, United Kingdom
  V

The course covers a full year from September to August and consists of two parts: a taught component (September to May) during which you attend lectures, tutorials and practical sessions and a research project (May to August) which gives you the opportunity for you to apply the knowledge you have gained and pursue your own research interests.

Taught modules include: computational modelling; techniques for knowledge management; bio-inspired computing; machine learning; vision; fundamentals of artificial intelligence; and knowledge representation and reasoning.

Computing (Artificial Intelligence) (Master Degree)

Course Format: Public Course / Instructor-Led / Open Enrollment
School/Trainer: Imperial College
Training Center(s)/Venue(s): London, United Kingdom
  V

The BEng and MEng Computing programmes follow broadly the same structure for the first two years. This means that you can move between BEng and MEng, and among the various MEng specialisations, at any time during the first two years. Core courses in the first two years will provide you with broad knowledge and skills in the science and engineering of computation. These are supplemented by optional courses of your choice which may be relevant to your chosen specialism.

Throughout your studies you will participate in project and design work, including a group project in the third year. In your final year you will spend around eight months working on an individual project. In the third year of the MEng programmes, you will participate in an industrial placement, which provides valuable experience of what it is like to work in industry. The placement extends from April until the end of September and in many cases leads to an offer of a job at the end of the final year.

Students on the International Programme of Study spend their fourth year on an exchange programm... [Read More]

Artificial Intelligence

Course Format: Public Course / Instructor-Led / Open Enrollment
School/Trainer: Fairmont State University
Training Center(s)/Venue(s): Fairmont, United States

An introduction to AI techniques, using a symbolic or logic-based programming language. Topics covered include knowledge representation, heuristic search, natural language processing, game playing, theorem proving and expert systems. Programming projects are assigned to illustrate these concepts. This course meets three hours per week for lecture.

Artificial Intelligence

Course Format: Public Course / Instructor-Led / Open Enrollment
School/Trainer: Columbia University Department of Computer Science
Training Center(s)/Venue(s): New York City, United States
  V

Provides a broad understanding of the basic techniques for building intelligent computer systems. Topics include state-space problem representations, problem reduction and and-or graphs, game playing and heuristic search, predicate calculus, and resolution theorem proving, AI systems and languages for knowledge representation, machine learning and concept formation and other topics such as natural language processing may be included as time permits.

Artificial Intelligence

Course Format: Public Course / Instructor-Led / Open Enrollment
School/Trainer: Western Kentucky University
Training Center(s)/Venue(s): Bowling Green, United States

Problems having no plausible algorithmic solution, their computer representations and solutions which usually involve heuristics.

Artificial Intelligence

Course Format: Public Course / Instructor-Led / Open Enrollment
School/Trainer: Rasmussen College - ND Campuses
Training Center(s)/Venue(s): Bismarck, Fargo, United States
  V

Students will learn how techniques in Artificial Intelligence (AI) can be utilized to allow software applications to mimic human or intelligent behavior in a variety of contexts ranging from expert systems to computer-controlled game opponents. Students will be exposed to topics such as natural language processing and parsers, problem solving algorithms, and knowledge representations. The implications of the intelligent agent paradigm as it relates to common sense and creativity will also be explored.

Artificial Intelligence

Course Format: Public Course / Instructor-Led / Open Enrollment
School/Trainer: Rasmussen College - IL Campuses
Training Center(s)/Venue(s): Aurora, Rockford, Romeoville, Mokena, United States
  V

Students will learn how techniques in Artificial Intelligence (AI) can be utilized to allow software applications to mimic human or intelligent behavior in a variety of contexts ranging from expert systems to computer-controlled game opponents. Students will be exposed to topics such as natural language processing and parsers, problem solving algorithms, and knowledge representations. The implications of the intelligent agent paradigm as it relates to common sense and creativity will also be explored.

Artificial Intelligence

Course Format: Public Course / Instructor-Led / Open Enrollment
School/Trainer: Rasmussen College - WI Campuses
Training Center(s)/Venue(s): Appleton, Green Bay, Wausau, United States
  V

Students will learn how techniques in Artificial Intelligence (AI) can be utilized to allow software applications to mimic human or intelligent behavior in a variety of contexts ranging from expert systems to computer-controlled game opponents. Students will be exposed to topics such as natural language processing and parsers, problem solving algorithms, and knowledge representations. The implications of the intelligent agent paradigm as it relates to common sense and creativity will also be explored.

Artificial Intelligence

Course Format: Public Course / Instructor-Led / Open Enrollment
School/Trainer: Rasmussen College - FL Campuses
Training Center(s)/Venue(s): Fort Myers, New Port Richey, Ocala, Tampa, United States
  V

Students will learn how techniques in Artificial Intelligence (AI) can be utilized to allow software applications to mimic human or intelligent behavior in a variety of contexts ranging from expert systems to computer-controlled game opponents. Students will be exposed to topics such as natural language processing and parsers, problem solving algorithms, and knowledge representations. The implications of the intelligent agent paradigm as it relates to common sense and creativity will also be explored.

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