1. Explain AI techniques and algorithms for solving any real problems in related fields 2. Apply AI techniques and machine learning methodologies in a realistic environment 3. Use appropriate tools and libraries in simulating intelligent behaviour for a specific problem domain
1. Introduction to Computational Intelligence 2. Artificial Neural Network (ANN) 3. Supervised learning 4. Unsupervised Learning 5. Clustering and Classification 6. Fuzzy Logic 7. Genetic Algorithm 8. Hybrid Intelligence System
Physical
4 days
Not Specified
Intermediate
Training Programme provided by APU/APIIT
Artificial Intelligence Application
Artificial Intelligence Application in Product Development
Computational Modelling
Data Mining and Modelling
Data Science
Machine Learning
Machine Learning Models
Pattern Recognition Systems
Self-Learning Systems
Statistical Analytics
Technology Adoption and Innovation