
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