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

Learn how to operationalize large language models for practical applications in various domains.

Large language models (LLMs) are all the rage these days. But beyond writing essays, jokes, and code, what are some other ways to use them? This course will teach you real-world applications for LLMs across a variety of industries.

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

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

Master dimensionality reduction techniques like PCA (Principal Component Analysis) and t-SNE. Learn how to reduce the complexity of large datasets, improve model performance, and visualize high-dimensional data with ease.

Machine Learning, What is machine learning ?, How machine learning works, Machine learning methods, Reinforcement machine learning, Deep learning and Real-world machine learning use cases

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

Master machine learning fundamentals for retail analysis. Learn how to apply AI techniques to optimize inventory, pricing strategies, and customer insights to boost retail business performance.

Detailed machine learning, and deep learning concepts and case studies with implementation

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.

Acquire the skills needed to build and deploy machine learning models using Microsoft Azure's tools and services.