Curriculum

10 Topics
History of AI
Fundamentals of Artificial Intelligence
Types of AI
Machine Learning Fundamentals
Types of Machine Learning: Supervised Unsupervised and Reinforcement Learning
Applications of Machine Learning in Various Industries
Basics of Data Preprocessing Techniques
Classification and Regression Algorithms
AI in Practice
AI Ethics and Bias

9 Topics
Data Preprocessing
Handling Imbalanced Data
Feature Engineering for Fraud Detection Models
Model Training and Building for Fraud Detection
Hyperparameter Tuning for Model Optimization
Performance Metrics
Analyzing Results and Performance Metrics
Model Selection Techniques
Ensemble Learning Techniques

7 Topics
Deep Learning Fundamentals for Image Analysis
Model Training and Building for Medical Image Analysis
Analyzing Segmentation Results and Performance Metrics
Data Visualization Techniques for Medical Imaging Data
Advanced Deep Learning Architectures for Medical Imaging
Transfer Learning Techniques in Medical Image Analysis
Generative Adversarial Networks (GANs) for Medical Imaging

11 Topics
Introduction to NLP
Text Data Preprocessing for NLP Tasks
Linguistics features
Types of text classification
NLTK vs. Spacy
Model Training and Building for Intent Classification and Entity Recognition
Analyzing NLP Results and Performance Metrics
Data Visualization for NLP Insights
Advanced NLP Techniques for Virtual Assistants
Sentiment Analysis and Named Entity Recognition (NER)
RASA Chatbot

  Write a Review

Artificial Intelligence (AI) Course For Beginners

Go to Paid Course