AI in Machine Learning & Neural Networks.
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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)