COMPUTER TECH. SKILLS

A.I . (Artificial Intelligence)

Nº 3124
DATE: 14-16.10.12
PRICE NIS: 2610 + VAT
DURATION: 3 Days

Course Overview:

This course covers many different aspects of A.I. algorithms and real life applications in state of the art software. The course includes search methods, decision making, uncertainty, learning, navigation and perception. It shows how A.I. methods can be incorporated in assorted products, including applications for gaming and the mobile industry.
Accompanied by coding examples, the course gives participants the know how needed to implement the various algorithms from scratch in their preferred programming language.

Who should attend?

System architects, technical managers, software and hardware engineers looking to expand their knowledge in A.I.

Prerequisities:

Some programming experience.

Course Outline:

1. Introduction

History of AI
Intelligent agents and robots
Key challenges
Paradigms
The frame problem

2. Search methods

Example search problems
Uninformed methods
Informed methods
Genetic algorithms

3. Decision making

Hierarchical state machines
Reactive and behavior based architectures
Rule engines
Forward and backward chaining
Using rule based engines

4. Uncertain knowledge and reasoning

Acting under uncertainty
Basic probability notation
Bayes rule and its use
Markov chains
An overview of speech recognition methods

5. Learning

Decision trees
Neural networks and OCR
Markov decision process
Value iteration

6. Navigation

Path planning
Potential fields
Graph based planners
Autonomous map building
Smartphone applications

7. Perception

Fundamentals of computer vision
Fundamentals of image processing
Optic flow
Feature extraction
Stereo vision and disparity calculation
Sensor perception

8. Summary

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