Duration
7 hours (usually 1 day including breaks)
Requirements
General knowledge of computing, biology, mathematics and physics
Overview
This course has been created for managers, solutions architects, innovation officers, CTOs, software architects and anyone who is interested in an 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