United Kingdom [select]
Artificial Intelligence Overview Training Course
Node ID: 10540
Duration
7 hours
Requirements
General knowledge of computing, biology, maths and physics.
Public Course Dates
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| Date | Venue | Price | ||
|---|---|---|---|---|
| 2012-02-24 09:30 | London, Westbourne Grove | From 1320 to 1890 GBP Check! | ||
| 2012-03-08 09:30 | Bristol, Temple Gate | From 1320 to 1890 GBP Check! | ||
| 2012-03-12 09:30 | Bristol, Temple Gate | From 1320 to 1890 GBP Check! | ||
| 2012-03-16 09:30 | London, Westbourne Grove | From 1320 to 1890 GBP Check! | ||
| 2012-04-13 09:30 | Manchester | From 1188 to 1701 GBP Check! | ||
| 2012-04-24 09:30 | Manchester | From 1188 to 1701 GBP Check! | ||
| 2012-04-27 09:30 | Bristol, Temple Gate | From 1188 to 1701 GBP Check! | ||
| 2012-04-30 09:30 | London, Westbourne Grove | From 1188 to 1701 GBP Check! | ||
| 2012-05-24 09:30 | Bristol, Temple Gate | From 1188 to 1701 GBP Check! | ||
| 2012-06-15 09:30 | London, Westbourne Grove | From 1188 to 1701 GBP Check! |
Overview
This course has been created for managers, solutions architects, innovation officers, CTOs, software architects and everyone who is interested overview of applied artificial intelligence and the nearest forecast for its development.
Course Outline
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
