Module 1: Introduction to Artificial Intelligence
Module 2: Python Programming for AI
Module 3: Data Science Fundamentals
Module 4: Essential Python Libraries for AI
Module 5: Statistics for Artificial Intelligence
Module 6: Machine Learning Fundamentals
Module 7: Machine Learning Algorithms
Module 8: Evaluation Metrics for AI Models
Module 9: Deep Learning
Module 10: Natural Language Processing (NLP)
- Introduction to NLP
- Text Preprocessing
- Tokenization
- Stop Words Removal
- Stemming
- Lemmatization
- Named Entity Recognition (NER)
- TF-IDF
- Word Embeddings
- Text Classification
- Text Matching
- Sentiment Analysis
