This course is intended for software developers and engineers taking their first steps with the AWS services that do much of heavy lifting of Machine Learning for you.

Learn the basics of tensor manipulation in PyTorch, focusing on fundamental concepts for building machine learning applications.

A quick and easy guide on statistical regression for machine learning

Conversational Chatbots Development with Machine Learning

Understand Big-O notation and its application in coding interviews, focusing on analyzing algorithm efficiency and performance.

Master binary search algorithms and their applications, focusing on problem-solving techniques for coding interviews.

Learn algorithms in bioinformatics, focusing on data analysis and processing techniques for biological data.

Specialize in using Google’s BARD AI tool for natural language understanding and task-specific AI development.

Learn How To Deploy Machine Learning models on Flask, Heroku, AWS, Google Cloud, Microsoft Azure, Streamlit. Beginner To Advanced

Learn by Practicing real world Projects to apply everything you have learned

The Azure AI Language conversational language understanding service (CLU) enables you to train a model that apps can use to extract meaning from natural language.

Learn how to use an Azure Document Intelligence solution as a custom skill to enrich content in an Azure AI Search pipeline.