Course Description:

The “Machine Learning, Data Science and Generative AI with Python Course” on Udemy is a complete, practical course on how to get involved in data science, machine learning, and generative AI using Python. If you have basic programming or scripting knowledge, this course teaches a broad range of topics, from foundational statistics to advanced techniques in generative AI.

This course will teach participants how to build generative AI applications using tools like OpenAI, Retrieval Augmented Generation (RAG), and Large Language Model (LLM) agents. It also teaches you to work with artificial neural networks that employ TensorFlow and Keras and a machine learning ML model at scale with Apache Spark’s MLLib. With Python libraries such as Matplotlib and Seaborn, students will gain experience in data classification, predictiv modeling, and data visualization.

It covers reinforcement learning principles, ways to evaluate models from train/test splits and k-fold cross-validation, and building recommendation systems with collaborative filtering methods. The course also covers practical skills like data cleaning, designing and evaluating A/B tests, and creating visualizations to derive insights from that data.