The topics listed belows provide a comprehensive guide to valuable insights on Python and its related frameworks on Artificial Intelligence (AI) and Machine Learning (ML). We present the main topics and examples for the upoming tutorials.
- The Python programming environment
- Fundamentals, datatypes, etc
- The python file structure and style
- The python program structure 2
- Object Oriented programming in Python
- Python Frameworks and tools
- Basics of ML and AI
- Neural Networks, Deep Learning Examples
- Architectures of RNNs, LSTMs and CNNs and Applications
- Training ML models in different scenarios
- Examples of ML models and Applications
- Foundational Models in Language Modelling (Transformers, LLMs)
- Model training, fine-tuning and Implementations
- Examples of LLMs, Transformers
- Final Project