Ready to dive into the world of Generative AI? Learn how ChatGPT works, how to use ChatGPT in your everyday life, and how to write effective ChatGPT prompts.

Learn about the difference between simple linear regression and multiple linear regression in R

Learn how to code and clean and manipulate data for analysis and visualization with the R programming language.

Leverage machine learning to make recommendations with recommender systems.

Learn how to build and host Alexa Skills that respond to users’ vocal commands.

In this course you will learn the details of linear classifiers like logistic regression and SVM.

Learn how PyTorch, a deep learning framework, can be used to automate and optimize processes through the development and deployment of state-of-the-art AI applications. The course will also help you understand the importance of data quality, how to choose the right model, and the challenges in deploying and maintaining both deep learning and machine learning applications.

Learn to deploy and optimize applications utilizing large language models for natural language processing.

Learn the theoretical foundations of Deep Learning through practical Python code.

This talk compares a modern streaming architecture to traditional batch and big data alternatives and benefits.

Thanks to AI, modern apps are more interactive and intelligent than ever before. Microsoft's Cognitive Service APIs offer easy-to-use machine learning models that are trained on vast repositories of data to offer solutions for common use cases.

Understand the fundamentals of Machine Learning and how it's applied in the business world.