Future Technologies
Application and Practical-Oriented training on Artificial Intelligence and IIoT by our industry expert trainers on following technologies
Artificial Intelligence (AI)
AI Introduction & Searching Techniques (10 Hours)
- Introduction: History & overview of Artificial Intelligence, Different Definitions, Problem Solving Strategies, Applications, Physical Symbol System Hypothesis, production systems, Characteristics of production, Agents and Environments
- Uninformed Search, depth first search, breadth first search, Heuristic Search Strategies (Greedy Best First Search, A* Search, Memory Bounded Heuristic Search) Evolutionary algorithms Local Search Algorithms (Hill-Climbing Search, Simulated Annealing Search, Local Beam Search)
Game Playing (10 Hours)
- Constraint Satisfaction Problems (CSP), constraint propagation, backtracking search for CSP, local search for CSP, structure of CSP, Minimax & Alpha-Beta Pruning Algorithm, Imperfect Real-time decisions, Knowledge Based Agents, Example, Propositional Logic, Syntax and semantics of First Order Logic, Inference in First Order Logic Knowledge Base Reasoning Systems for Categories
Basic Probability Notation (10 Hours)
- Inference Using Full Joint Distribution, Independence, Bayes’ Rule and it’s Use, The Planning Problem, Planning with State Space Search, Planning Graphs, Efficient Representation of Conditional Distribution, Exact Inference, Approximate Inference Extending Probability to First Order Representations
Knowledge Representation & Expert Systems (10 Hours)
- Knowledge representation, Natural Language processing, Pattern recognition, expert systems, introduction to machine learning Case Study: Sentiment Analysis, Case Study: Object Recognition. Ontological engineering
- Formalized symbolic logic: Propositional logic-first order predicate logic, inference rules, the resolution principle, Dealing with inconsistencies and uncertainties, fuzzy logic. Probabilistic Reasoning Structured knowledge
