$550 – $650

PART B - Artificial Intelligence Training | AI Training | IT Training | Dis...

Event Information

Share this event

Date and Time



Instructor led Online | Video Conference

Bellevue, WA

View Map

Refund Policy

Refund Policy

No Refunds

Friends Who Are Going
Event description


"In the entire world, fewer than 10,000 people have the skills necessary to tackle serious artificial intelligence research, according to Element AI, an independent lab in Montreal." - NY Times article


Ask us how you can save another $50 on the top of the ticketed price


This is a comprehenisve AI course taught in two parts. You have to register and pay separately for both courses. You can save an additional $50 when you purchase both courses. Ask us how.

  • Part A is taught in December 2017
  • Part B is taught in January 2018

Course Description

  • Artificial Intelligence viewed as knowledge engineering
  • Historical perspective
  • Problems of representation
  • AI as a problem in language definition and implementation.
  • Introduces representations, techniques, and architectures used to build applied systems and to account for intelligence from a computational point of view
  • Applications of rule chaining, heuristic search, constraint propagation, constraint search, inheritance, and other problem-solving paradigms.
  • Applications of identification trees, neural nets, genetic algorithms, and other learning paradigms.
  • Speculations on the contributions of human vision and language systems to human intelligence.


Probability and Statistics Data Structures and Computer Algorithms, Formal Languages and Compiler Construction, Truth, deduction, and Computation, Database Systems, Logic Programming.

Required Textbooks

  • “Artificial Intelligence: Structures and Strategies for Complex Problem - Solving, 5th Edition”, by George Luger, Addison-Wesley, 2005
  • "Robot Modeling & Kinematics" by Rachid Manseur, ISBN: 15845-08515, Charles River Media, 2006

Recommended Textbooks

  • “Artificial Intelligence, A Modern Approach, 2nd Edition” by Stuart Russell, Peter Norvig, Prentice Hall, 2002
  • “Artificial Intelligence, 3rd Edition”, by Patrick Henry Winston, Addison- Wesley Publishing Company, 1992


  • “Artificial Intelligence: A Guide to Intelligent Systems, 2nd Edition”, by Michael Negenivtsky, Addison-Wesley, 2005
  • "Expert Systems, Principles and Programming, 4th Edition", by Joseph C. Giarratano, Gary D. Riley, ISBN: 05343-84471, Course Technology, 2005
  • "AI for Game Developers", by David M. Bourg, Glenn Seem ann, ISBN: 05960-05555, O'Reilly, 2004
  • "Hands-on AI with Java : Sm art Gam ing, Robots, and More", by Edwin Wise, ISBN: 00714-24962, McGraw-Hill, 2004
  • “Computer Vision, A Modern Approach”, by David A. Forsyth, Jean Ponce, Prentice Hall, 2003
  • “Proglog Programming for Artificial I ntelligence, 3rd Edition” by I van Bratko, Addison-Wesley, 2001
  • “Spoken Language Processing: A Guide to Theory, Algorithm and System Development”, by Xuedong Huang, Alex Acero, Hsiao-Wuen Hon, Raj Reddy, Prentice Hall, 2001
  • “Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations”, by I an H. Witten, Eibe Frank, Morgan Kaufmann Publishers, 1999
  • “Mobility: Processes, Com puters, and Agents”, by Dejan S. Miloj icic, Frederick Douglis, Richard G. Wheeler, Addison-Wesley Publishing Company, 1999
  • “Robotics, Designing the Mechanisms for Automated Machinery, 2 nd Edition”, by Ben-Zion Sandler, Academic Press, 1999.
  • “Genetic Programming: An Introduction: On the Automatic Evolution of Computer Programs and Its Applications”, by Wolfgang Banzhaf, Peter Nordin, Robert E.Keller, Frank D. Francone, Morgan Kaufmann, 1998
  • “Neural Networks: A Comprehensive Foundation, 2 nd Edition”, by Sim on S. Haykin, Prentice Hall, 1998
  • “Machine Learning”, by Tomas M. Mitchell, McGraw-Hill, 1997
  • “Natural Language Understanding, 2nd Edition”, Jam es Allen, The Benjamin/Cummings Publishing Company, 1995.
  • “The Elements of Artificial Intelligence Using Common Lisp, 2nd Edition”, by Steven L. Tanimoto, W.H. Freeman & Co, 1995
  • “Computational Brian” by Patricia S. Churchland and Terrence J. Sejnowsky, MIT Pres, 1992 17. “Common LISPcraft”, by Robert Wilensky, W. W. Norton & Company, 1986

Why Artificial Intelligence Training from Omni212?

1. Omni212 provides Artificial Intelligence Product engineering services
2. Two of our most experienced, AI instructors teach this class.
3. Employees of Microsoft, Zulily, have been interested in taking our AI classes.
4. Class recordings, Training manual for this class will be made available.
5. Post class support
6. Appropriate software access
7. Career advancement and Job placement assistance

Next class starting

January 4, 2017

Video Conference link

Will be sent upon your registration and payment

Training Session Details

There will be 8 online sessions, each session being of 2 hours. Every session will have presentation about theory, concepts and technology, followed by Hands-on Lab practice exercises.

Training Dates

  • Begins January 4, taught over 4 weeks ending on January 29
  • Every week, Mon, Wed, evening 7-9pm
  • Times: 7:00 PM - 9:00 PM (US Pacific Time) every session
  • Each session will be recorded and the recordings will be shared after each session with students.

Class Size: Maximum 22

Price: $650


1. There will be no refunds.

2. If a class is not taken for any reason, rescheduled or cancelled, purchase price can be applied toward any published future class by Omni212 of equal or lesser value.

Share with friends

Date and Time


Instructor led Online | Video Conference

Bellevue, WA

View Map

Refund Policy

No Refunds

Save This Event

Event Saved