*Fundamentals of Artificial Intelligence, Machine Learning, Neural Networks & Deep Learning*

*Artificial Intelligence:*
- Code Generation
- Image Generation
- Semantic Network
- Rule-based Systems
- Autonomous Robotics
- Work Flow automation
- Heuristic Search
- Text Processing

*Machine Learning:*
- Partitioning Methods
- Feature Extraction
- Deductive reasoning
- Classification trees
- Instance based learning
- Probabilistic classifiers
- Kernel Machines
- Boosting
- Q-learning
- Deep Networks

*Neural Networks:*
- Convolutional Neural Networks
- Sequential Networks
- Kernel Based Networks
- Kohonen Networks
- Memory Networks
- Adversarial Networks
- Auto Associators
- Single Layer Networks

*Deep Learning:*
- Deep Q-Networks
- Probabilistic Generative Models
- Self Attention Models
- Convolutional Neural Networks
- Memory Networks
- Pretext Learning