Get in Touch

Course Outline

The Evolution of Artificial Intelligence

  • Intelligent Agents

Problem-Solving Techniques

  • Problem Solving Through Search
  • Advanced Search Beyond Classical Methods
  • Adversarial Search Strategies
  • Constraint Satisfaction Problems

Knowledge and Reasoning

  • Logical Agents
  • First-Order Logic
  • Inference Using First-Order Logic
  • Classical Planning
  • Planning and Action in Real-World Scenarios
  • Representing Knowledge

Reasoning with Uncertain Information

  • Quantifying Uncertainty
  • Probabilistic Reasoning
  • Probabilistic Reasoning Over Time
  • Simple Decision-Making
  • Complex Decision-Making

Learning Processes

  • Learning from Examples
  • Knowledge Application in Learning
  • Learning Probabilistic Models
  • Reinforcement Learning

Communication, Perception, and Action

  • Natural Language Processing
  • Natural Language for Communication
  • Perception
  • Robotics

Conclusions

  • Philosophical Foundations
  • AI: Current State and Future Prospects

Requirements

A general understanding of computing, biology, mathematics, and physics

 7 Hours

Number of participants


Price per participant

Testimonials (3)

Upcoming Courses

Related Categories