This course will teach you how to enhance data security, ensure compliance with international regulations, and effectively manage performance and costs in AI deployments.

This course teaches software engineers the principles of clean architecture as they write code for layered web applications in Python.

In this course, you will learn about Clean Architecture, a set of modern patterns, practices, and principles for creating software architecture that is simple, understandable, flexible, testable, and maintainable.

Clean code is the art of writing code that humans can understand. Learn how to write C# in a style that's easy to write, read, and maintain. This course is filled with clear comparisons between "dirty" C# code to avoid, and the "clean" C# equivalent.

This course targets software developers and data scientists looking to understand the initial steps in a machine learning solution. The content will showcase methods and tools available using Microsoft Azure.

Learn to clean and manipulate data using the Pandas library in Python. Cover common issues like missing values and irrelevant features, use correlation analysis, encode categorical features, and prepare data for machine learning models.

This course will teach you how to recognize dirty data, minimize its occurrence, and cleanse your data in Excel, working more efficiently, reducing errors, and minimizing cleansing time.

Clojure is a robust and productive functional programming language. This course will teach you the basics of Clojure so that you can build your own Clojure programs and applications.

Dr. Tiffany Vora shares her closing thoughts on the COVID-19 Summit.

Explore cloud architecture design principles, focusing on best practices for building scalable and reliable cloud-based solutions.

Understand the business impact of cloud computing and how to leverage it for organizational success.

Explore the fundamentals of cloud computing, focusing on service models, deployment strategies, and real-world applications.