Artificial Intelligence

Artificial Intelligence course is offered by Global Institute of Cyber Security and Ethical Hacking. GICSEH offers strategic training paths for the certification skills required to support today’s technologies while offering a broad curriculum of application focused courses for clients looking to implement new/upgraded business applications for the company and brand.

Our certification from our technology partners also extends to our facilities. When you enter GICSEH training facility, you will be equipped with everything you need for a successful and comfortable learning experience. Our dedication to your success is reflected in our friendly staff, enthusiastic instructors and progressive classroom settings and equipment.

Course Content:

• First Month - UNIT I INTRODUCTION TO Al AND PRODUCTION SYSTEMS
• Introduction to AI-Problem formulation, Problem Definition -Production systems, Control strategies,sSearch strategies. Problem characteristics, Production system characteristics -Specialized productions system- Problem solving methods – Problem graphs, Matching, Indexing and Heuristic functions -Hill Climbing-Depth first and Breath first, Constraints satisfaction – Related algorithms, Measure of performance and analysis of search algorithms.
• Second Month - UNIT II REPRESENTATION OF KNOWLEDGE
• Game playing – Knowledge representation, Knowledge representation using Predicate logic, Introduction to predicate calculus, Resolution, Use of predicate calculus, Knowledge representation using other logic-Structured representation of knowledge.
• Third Month - UNIT III KNOWLEDGE INFERENCE
• Knowledge representation -Production based system, Frame based system. Inference – Backward chaining, Forward chaining, Rule value approach, Fuzzy reasoning – Certainty factors, Bayesian Theory-Bayesian Network-Dempster – Shafer theory.
• Fourth Month - UNIT IV PLANNING AND MACHINE LEARNING
• Basic plan generation systems – Strips -Advanced plan generation systems – K strips -Strategic explanations -Why, Why not and how explanations. Learning- Machine learning, adaptive Learning.
• Fifth Month - UNIT V EXPERT SYSTEMS
• Expert systems – Architecture of expert systems, Roles of expert systems – Knowledge Acquisition – Meta knowledge, Heuristics. Typical expert systems – MYCIN, DART, XOON, Expert systems shells.