Recruitment of participants Foundations of A.I.: Search Algorithms

Foundations of A.I.: Search Algorithms

What you'll learn

• Definition of A.I.
• Definition of A.I.
• Search Algorithms
• Elements of Graph Search
• Optimization

Requirements

• Basic Understanding of Programming
• Python Fundamentals

Description
This course is designed for all enthusiasts who are interested for a career in Artificial Intelligence. The main objective of this course is to give a solid foundation of the good old Artificial Intelligence concepts which includes the definition of Artificial Intelligence, different schools of Thought, a tinge of Sir Alan Turing's thoughts about Computational Thinking. As we progress into the course, we will try to understand the significance of graphs and how any problem can be represented as a Graph. At the heart of this course is Search Algorithms, we will have a look at methods that allow computers to search for solution in a huge solution space. In that pursuit, we will work with Uninformed Search and Informed Search Algorithms. Informed Search algorithms have their foot print in Robotics, Navigation systems, designing games and many more. Course is incomplete if we leave with informed search, to counter the problems of search algorithms, we will look into local search which will eventually land in Optimization. In local search, we will work with Hill climbing algorithms along with their disadvantages. To sum up, this course gives answers to questions raised by students who want to explore the fundamentals difference between human intelligence and machine intelligence.

Who this course is for:

• Anyone interested in the field of Artificial Intelligence
• Students from Engineering