Learning Path

Non-Linear: Random Order

About the Course

Course Description

This course covers general introductory concepts of AI and Production Systems, Representation of Knowledge, Knowledge Inference, Planning and Machine Learning and Expert Systems.

Objectives 

1.Will familiarize about AI and Production Systems

2.Will demonstrate Game playing, Knowledge Representation and Structured representation of knowledge

3.Will develop knowledge in Planning and Machine Learning

Prerequisite

There is no particular prerequisite to learn Artificial Intelligence, you will be able to do very well, if you have these basic skills: 

1. Basic Knowledge in programming

2. Good Computer Knowledge

3. Good communication skills

.

Course Study Materials
Module 1: Introduction to AI and Production Systems
  • 1.1 Introduction to AI
  • 1.2 Production Systems
  • 1.3 Specialized Production System
  • 1.4 Matching
  • 1.5 Constraints Satisfaction
  • Introduction to AI and Production Systems 10 Questions
Module 2: Representation of Knowledge
  • 2.1 Game playing
  • 2.2 Knowledge Representation
  • 2.3 Introduction to predicate calculus
  • 2.4 Structured representation of knowledge
  • Representation of Knowledge 10 Questions
Module 3: Knowledge Inference
  • 3.1 Knowledge representation
  • 3.2 Inference
  • 3.3 Fuzzy reasoning
  • 3.4 Dempster- Shafer theory
  • Knowledge Inference 10 Questions
Module 4: Planning and Machine Learning
  • 4.1 Basic plan generation systems
  • 4.2 Strips
  • 4.3 Advanced plan generation systems
  • 4.4 K strips
  • 4.5 Strategic explanations
  • 4.6 Learning
  • Planning and Machine Learning 10 Questions
Module 5: Expert systems
  • 5.1 Architecture of expert systems,Roles of expert systems
  • 5.2 Knowledge Acquisition
  • 5.3 Meta knowledge, Heuristics
  • 5.4 Typical expert systems
  • Expert systems 10 Questions
Final Assessment
  • Final Assessment 20 Questions

The certificate issued for the Course will have the student's Name, Photograph, Course Title, Certificate number, Date of course completion and the name(s) and logo(s) of the Certifying Bodies. Only the e-certificate will be made available. No Hard copies. The certificates issued by uLektz Learning Solutions Pvt. Ltd. can be e-verifiable at www.ulektzskills.com/verify.

  • Students are required to take online assessments with eProctoring.
  • Students will be assessed both at the end of each module and at the end of the Course.
  • Students scoring a minimum of 50% in the assessments are considered for Certifications
certificate
...
₹2499
Features:
  • 50 hours Learning Content
  • 100% online Courses
  • English Language
  • Certifications

Course

Registration opens on 04-02-2019

Course

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Course Enrollment

Course

Course starts on 21-01-2023

Course

You have completed 6 hours of learning for 20-06-2024. You can continue learning starting 21-06-2024.

Course

This course can only be taken in sequential order.

Course

You have completed the course. You will be notified by email once the certificate is generated.

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Course

Course

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Result Summary

Introduction to Artificial Intelligence.