AI in Machine Learning & Neural Networks.

The syllabus focuses mainly on the application of machine learning techniques using state-of-the-art libraries (TensorFlow, Keras, PyTorch, etc… as well as how to properly use and call large language models (LLM prompting and APIs).

 Agenda for 20 hours:

„  Introduction to Machine Learning

„  Data Preprocessing.

„  Supervised Learning

„  Unsupervised Learning

„  Introduction to Neural Networks

„  Basic Reinforcement Learning

„  Advanced ML Tools and Techniques

„  Machine Learning in Production

„  Working with Large Language Models (LLMs)