Artificial intelligence Training Courses and Workshops

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




Total 127 training courses and degree programs available around the world.

Artificial Intelligence

Course Format: Public Course / Instructor-Led / Open Enrollment
School/Trainer: Roberts Wesleyan College
Training Center(s)/Venue(s): Rochester, United States

This course introduces the student to artificial intelligence, expert systems, and intelligent agents. The fundamental concepts of searching, reasoning, and planning are presented. Students will use expert systems software tools to design and build an AI project.

Introduction to Artificial Intelligence

Course Format: Online / Virtual Classroom / Webinar
School/Trainer: Park University School For Online Learning
Training Center(s)/Venue(s): Parkville, United States
  V

The student will learn the terminology and methods used in a variety of artificial intelligence (AI) areas. These topics will be covered: history of artificial intelligence, search techniques, knowledge representation. In addition, one or more of these topics will be covered: expert systems, uncertainty, case-based reasoning, neural networks, vision, robotics. The student may use various AI tools, Lisp, and/or Prolog for AI projects.

Artificial Intelligence

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

Fundamental principles and techniques in artificial intelligence systems. Knowledge representation formalisms; heuristic problem solving techniques; automated logical deduction; robot planning methods; algorithmic techniques for natural language understanding, vision, and learning. Not for C S graduate students.

Artificial Intelligence

Course Format: Public Course / Instructor-Led / Open Enrollment
School/Trainer: New England Institute of Technology
Training Center(s)/Venue(s): East Greenwich, United States

Artificial Intelligence training courses and programs are available at New England Institute of Technology, or it can provide customized training on your request. Please visit the official website of New England Institute of Technology or call for details.

Artificial Intelligence for Gaming

Course Format: Public Course / Instructor-Led / Open Enrollment
School/Trainer: Macon State College
Training Center(s)/Venue(s): Macon, Warner Robins, United States

This course studies the problem of making computers act in ways which we call “intelligent? Topics include major theories, tools and applications of artificial intelligence, aspects of knowledge representation, searching and planning, and natural language understanding.

Artificial Intelligence

Course Format: Public Course / Instructor-Led / Open Enrollment
School/Trainer: Jagan Institute of Management Studies
Training Center(s)/Venue(s): Rohini, India

Course descriptions about Artificial Intelligence is available on request. Please contact Jagan Institute of Management Studies by submitting the training request form.

Artificial Intelligence Overview Workshop

Course Format: Online / Virtual Classroom / Webinar
School/Trainer: NobleProg Ltd
Training Center(s)/Venue(s): London, United Kingdom
  V

Artificial Intelligence History
Intelligent Agents

Problem Solving
Solving Problems by Searching
Beyond Classical Search
Adversarial Search
Constraint Satisfaction Problems

Knowledge and Reasoning
Logical Agents
First-Order Logic
Inference in First-Order Logic
Classical Planning
Planning and Acting in the Real World
Knowledge Representation

Uncertain Knowledge and Reasoning
Quantifying Uncertainty
Probabilistic Reasoning
Probabilistic Reasoning over Time
Making Simple Decisions
Making Complex Decisions

Learning
Learning from Examples
Knowledge in Learning
Learning Probabilistic Models
Reinforcement Learning

Communicating, Perceiving, and Acting
Natural Language Processing
Natural Language for Communication
Perception
Robotics

Conclusions
Philosophical Foundations
AI: The Present and Future

Artificial Intelligence

Course Format: Public Course / Instructor-Led / Open Enrollment
School/Trainer: George Brown College
Training Center(s)/Venue(s): Toronto, Canada

George Brown College is running a training course/program about Artificial Intelligence, or has provided such training courses/programs before. Please visit the official website of George Brown College to check the availability of this course.

Artificial Intelligence

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


Explain theorem-proving and automated-reasoning systems.

?Develop state space representations for problem domains.

?Develop state space representations for problem domains.

?Utilize heuristic and recursive search techniques.

?Design rule-based expert systems.

?Discuss model-based and case-based reasoning.

?Develop Bayesian and monotonic reasoning models.

?Explain knowledge representation systems.

?Program effectively in Lisp or Scheme.





Topical Outline:

?History and application

?Game playing

?Automated reasoning and theorem proving

?Predicate calculus

?State space design and searching

?Expert systems

?Knowledge representation

?AI programming techniques


Artificial Intelligence

Course Format: Public Course / Instructor-Led / Open Enrollment
School/Trainer: Colorado College
Training Center(s)/Venue(s): Colorado Springs, United States

An introduction to the theories and methods of artificial intelligence. Topics include problem solving, game playing, knowledge representation, natural language understanding, and expert systems.

Artificial Intelligence for Games (Master Degree)

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

On this course you will learn advanced techniques in Artificial Intelligence (AI), to create a range of artificial gameplaying agents and non-player characters for a wide variety of games, from chess through to complex first-person and real-time strategy and multiplayer games.

The course will cover advanced topics in machine learning, genetic and evolutionary algorithms, and neural networks. Options during the course will allow you to study areas such as computer graphics and animation, sound, software engineering and project management.

The course is designed for students with an enthusiasm for AI who prefer a hands-on course where your ideas can be implemented in a range of game environments, and for those with an enthusiasm for computer games aiming to get into AI design and development. You will be expected to have prior knowledge of programming skills and an enthusiasm for games, but knowledge of AI is not required.

Our graduates have skills that make them well suited to careers in the computer games industry, and to AI jobs in other areas such ... [Read More]

Artificial intelligence

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

Topics in artificial intelligence: heuristic search, game playing, rule-based systems, genetic algorithms, and neural networks. Significant project work demonstrating various AI techniques

Artificial Intelligence

Course Format: Public Course / Instructor-Led / Open Enrollment
School/Trainer: New Jersey Institute of Technology
Training Center(s)/Venue(s): Newark, United States
  V

Fundamental concepts and general techniques in artificial intelligence. Main topics include goal tree search, logic and deduction, adduction, uncertainty, fuzzy logic, knowledge representations, machine learning, vision, and action planning. The LISP programming language is used extensively. Students are required to do programming assignments, complete a programming term project, and review case studies.

Artificial Intelligence

Course Format: Public Course / Instructor-Led / Open Enrollment
School/Trainer: Harvard Extension School
Training Center(s)/Venue(s): Boston, United States
  V

Artificial intelligence (AI) is the study of computer systems that appear to behave with some degree of human intelligence. This survey course covers major background and state-of-the-art topics in AI: game playing, natural language understanding, theorem proving, computer vision, genetic algorithms, and neural networks. Other topics in machine learning, planning, and expert systems are covered if time permits. The LISP programming language is introduced and used for some programming assignments; others may be completed in Java or C.

Artificial Intelligence for Autonomous Systems

Course Format: Public Course / Instructor-Led / Open Enrollment
School/Trainer: Deakin University School of Engineering
Training Center(s)/Venue(s): Geelong, Melbourne, Australia

This unit introduces the fundamentals behind Artificial Intelligence (AI) and the different AI applications. It examines the various AI methods including: "A*" and other path finding systems, flocking, pattern, fuzzy logic, rule-base, probability, Bayesian techniques, neural networks and genetic algorithms.

Automotive Intelligent Systems (Master Degree)

Course Format: Public Course / Instructor-Led / Open Enrollment
School/Trainer: Deakin University School of Engineering
Training Center(s)/Venue(s): Geelong, Melbourne, Australia
  V

Deakin University’s postgraduate Engineering program has been designed to strengthen, build on and extend your understanding of engineering principles required for successful engineering careers in Australia and overseas.

You will gain technical skills, a positive approach to problem solving and the ability to work in a team, enabling you to work on complex projects immediately.

You can choose from specialisms in Mechanical Engineering, Electronics Engineering or Civil Engineering. The specialisms all provide expertise in areas of high demand for graduates.

The program’s focus on practical experience and a supervised research project or industry project provides you with advanced project management skills. This experience equips you with the ability to apply your skills and knowledge to practical, industrially focussed problems.

Decision Support and Expert Systems

Course Format: Public Course / Instructor-Led / Open Enrollment
School/Trainer: Keller Graduate School of Management in Missouri
Training Center(s)/Venue(s): Kansas City, St. Louis, United States
  V

This course focuses on design, development and implementation of effective systems for meeting information needs of management decision-makers. The course explains both model-based and data-based decision support systems and their use by managers in functional areas. Spreadsheets and applied artificial intelligence models, such as artificial neural network, and/or rule-based expert systems software may be used to introduce the decision-support process

Business Intelligence Systems

Course Format: Public Course / Instructor-Led / Open Enrollment
School/Trainer: Keller Graduate School of Management in Missouri
Training Center(s)/Venue(s): Kansas City, St. Louis, United States
  V

This course focuses on concepts needed for analyzing, designing and applying effective systems for meeting management’s information needs for tactical short-term, and strategic long-term, planning and decision-making. The course covers various models of business intelligence and decision support systems, based largely on database design in support of data warehousing and data mining concepts. Topics include data modeling for the data warehouse and data mart, and application of OLAP and artificial intelligence concepts as applied to data mining

Decision Support and Expert Systems

Course Format: Public Course / Instructor-Led / Open Enrollment
School/Trainer: Keller Graduate School of Management Portland Campus
Training Center(s)/Venue(s): Portland, United States
  V

This course focuses on design, development and implementation of effective systems for meeting information needs of management decision-makers. The course explains both model-based and data-based decision support systems and their use by managers in functional areas. Spreadsheets and applied artificial intelligence models, such as artificial neural network, and/or rule-based expert systems software may be used to introduce the decision-support process

Business Intelligence Systems

Course Format: Public Course / Instructor-Led / Open Enrollment
School/Trainer: Keller Graduate School of Management Portland Campus
Training Center(s)/Venue(s): Portland, United States
  V

This course focuses on concepts needed for analyzing, designing and applying effective systems for meeting management’s information needs for tactical short-term, and strategic long-term, planning and decision-making. The course covers various models of business intelligence and decision support systems, based largely on database design in support of data warehousing and data mining concepts. Topics include data modeling for the data warehouse and data mart, and application of OLAP and artificial intelligence concepts as applied to data mining

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