Foundations of A.I.: Search Algorithms

Focused View

Prag Robotics

4:19:51

7 View

1 - About the Program

1 - Course Introduction.mp4

01:16

2 - Course Outline.mp4

04:16

2 - What is Artificial Intelligence

3 - Where is AI Around Us.mp4

03:12

4 - What is AI.mp4

05:40

5 - AI Paradigms.mp4

02:24

6 - Why AI is Important Now.mp4

02:18

7 - Applications of AI.mp4

05:57

8 - History of AI.mp4

02:20

9 - How does Human Intelligence Work.mp4

03:27

3 - Rationality Agents Environment

10 - What is an Agent and Environment.mp4

02:16

11 - What is Rationality and a Rational Agent.mp4

01:17

12 - Factors of Rationality.mp4

02:06

13 - Nature of Environments.mp4

01:23

14 - Types of Agent Architectures.mp4

00:44

15 - Simple Reflex Agent.mp4

04:09

16 - Reflex Agent with Internal State.mp4

04:42

17 - Goal based Agent.mp4

03:34

18 - Utility based Agents.mp4

05:16

4 - Software Installation

19 - Installing Anaconda Distribution.mp4

03:13

20 - Handling Jupyter Notebooks 1.mp4

02:53

21 - Handling Jupyter Notebooks 2.mp4

02:04

5 - Python Crash Course

22 - What is Python.mp4

01:36

23 - Data Types in Python.mp4

00:37

24 - LoopsFor Jupyter.mp4

06:41

25 - LoopsWhile Jupyter.mp4

08:36

26 - Creating Functions in Python Jupyter.mp4

12:10

27 - Conditional Statements If Else Jupyter.mp4

05:46

6 - Problem Solving

28 - What is a Problem.mp4

04:55

29 - Problem Solving Agent.mp4

03:25

30 - Search Algorithms.mp4

04:02

31 - Introduction to Graph Search.mp4

03:08

32 - Elements of Graph Search.mp4

03:58

33 - Types of Search Algorithms.mp4

00:56

7 - Search AlgorithmsUninformed Search

34 - Uninformed Search Algorithms.mp4

05:29

35 - Breadth First Search.mp4

06:43

36 - Implementation of Breadth First Search in Python.mp4

19:49

37 - Depth First Search.mp4

06:38

38 - Implementation of Depth First Search in Python.mp4

16:56

39 - Depth Limited Search.mp4

07:33

40 - Iterative Deepening Search.mp4

09:32

41 - Uniform Cost Search.mp4

04:51

8 - Search AlgorithmsInformed Search

42 - Introduction to Informed Search Algorithms.mp4

11:01

43 - Best First Search.mp4

05:22

44 - Greedy Search Algorithm.mp4

09:57

45 - A Algorithm.mp4

08:13

9 - Local Search

46 - Introduction to Local Search.mp4

09:58

47 - Hill Climbing Method.mp4

05:05

48 - Variants of Hill Climbing Method.mp4

07:24

49 - Applications of Hill Climbing.mp4

02:08

10 - About the Program

50 - Course Conclusion.mp4

02:55

Description

Search Algorithms

What You'll Learn?

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

Who is this for?

Anyone interested in the field of Artificial Intelligence

Students from Engineering

What You Need to Know?

Basic Understanding of Programming

Python Fundamentals

More details

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

User Reviews

Rating

average 0

Total votes0

Focused display

Prag Robotics is a “Centre of Excellence” for Robotics and Artificial Intelligence studies, has very quickly established a mark in manufacturing & academic circles. Prag has established RoboLab–4.0 in Universities, Colleges and Schools, delivering educational programs in the emerging technologies viz. Robotics, Artificial Intelligence and Data Science – deploying the “Real-time” Robots, Equipment and most recent Software. These intricately designed programs are preparing our students to compete with the best in the world of Robotics and Automation.The course curriculums are in line with 23 legendary universities across the globe and industry insights with our superlative industry connect. Our programs are clear, to-the-point, expertly designed and delivered by roboticists who have accomplished their masters from eminent educational institutions.In this journey, conducted awareness sessions for over 18000 students and individuals, educated 6000+ young engineers, made them industry ready thus supported them to find placement in their domain or pursue their higher education with ease.

Udemy

View courses Udemy

Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.