Artificial Intelligence (AI) Overview Training Course
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
Requirements
General knowledge of computing, biology, mathematics and physics
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Testimonials (3)
Organization, adhering to the proposed agenda, the trainer's vast knowledge in this subject
Ali Kattan - TWPI
Course - Natural Language Processing with TensorFlow
This is one of the best hands-on with exercises programming courses I have ever taken.
Laura Kahn
Course - Artificial Intelligence - the most applied stuff - Data Analysis + Distributed AI + NLP
I did like the exercises.
Office for National Statistics
Course - Natural Language Processing with Python
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