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Adaptive:Personalised Learning
This course covers general introductory concepts of AI and Production Systems, Representation of Knowledge, Knowledge Inference, Planning and Machine Learning and Expert Systems.
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
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
.
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
2.1 Game playing
2.2 Knowledge Representation
2.3 Introduction to predicate calculus
2.4 Structured representation of knowledge
Representation of Knowledge - Assessment
10 Questions
3.1 Knowledge representation
3.2 Inference
3.3 Fuzzy reasoning
3.4 Dempster- Shafer theory
Knowledge Inference - Assessment
10 Questions
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 - Assessment
10 Questions
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 - Assessment
10 Questions
Final Assessment
20 Questions
The certificate issued for the Course will have
Only the e-certificate will be made available. No Hard copies. The certificates issued by Periyar Maniammai Institute of Science & Technology (PMIST). can be e-verifiable at www.ulektzskills.com/verify.
90 hours Learning Content
100% online Courses
English Language
Certifications