Course Objectives
By the end of the course, participants will be able to:
• Explain AI as a concept and all its applications.
• Apply the different AI applications in the business value chain.
• Demonstrate the technologies and algorithms behind AI.
• Assess the available and necessary skills and competencies.
• Discuss on a qualified level with business and data specialists on relevant topics.
Course Outline
Day One
Artificial Intelligence Definition
• Artificial Intelligence Definition
• Artificial Intelligence Types
• Examples
Gaming Inelegance
• Isolation Game
• Chess and strategic games intelligence
Historical overview of Artificial Intelligence
• Artificial Intelligence study research history
• Artificial Intelligence Factors
• Specifications of Artificial Intelligence
• Robotic Examples
Problems and Algorithms
• Reasoning, problem solving
• Knowledge representation
• Planning
• Learning
• Natural language processing
• Perception
• Motion and manipulation
• Social intelligence
• Creativity
• General intelligence
Approaches
• Cybernetics and brain simulation
• Symbolic
• Sub-symbolic
• Statistical
• Integrating the approaches
Tools
• Search and optimization
• Logic
• Probabilistic methods for uncertain reasoning
• Classifiers and statistical learning methods
• Artificial neural networks
• Languages
• Evaluating progress
Day Two
Existing Artificial Intelligence Apps
• AI tools for Personal use
• AI tools for Business use?—?Enterprise Intelligence
• AI tools for Business use?—?Enterprise Functions
• AI tools for Industry specific businesses
Artificial Intelligence Applications
• Machine Learning
• Expert Systems
• Computer Vision
• Natural Language Understanding
• Robotic
• Pattern Recognition
• Knowledge Management
• Automated Theorem Proving
Technical Overview Deep Learning & Artificial Neural Networks
• Apps made in Deep Learning & Artificial Neural Networks
• Historical look and improvements
• Examples of Deep Learning & Artificial Neural Networks
Artificial Intelligence Future
• Advantages of Artificial Intelligence
• Disadvantages of Artificial Intelligence
Philosophy and Ethics
• The limits of artificial general intelligence
• Potential risks and moral reasoning
• Machine consciousness, sentience, and mind
• Superintelligence