Service provider automation attempts to address two main objectives: rapidly provisioning new customer services and closely monitoring the network's behavior. Both require reliable and scalable automation solutions; these are taught in this course.

The amount of data in the world of business continues to grow almost exponentially. This course will teach you how to use AWS provided tools to create the necessary support structure for handling big data now and in the future.

This course will help you obtain the knowledge and skills required to sit the AZ-305: Designing Microsoft Azure Infrastructure Solutions exam.

Learn how to leverage Bayesian estimation methods to make better inferences about linear regression models.

Patterns are the fundamental design and communication toolkit of programmers. This course will teach you the classic Gang of Four behavioral patterns but with implementations in Kotlin.

Learn the fundamentals of working with big data with PySpark.

Learn about the architecture and management of big data systems.

The Android platform encompasses a rich ecosystem of users and devices. In this course, you’ll learn how to create apps that effectively engage this ecosystem through multiple language support, device adaptability, accessibility, and custom views.

Welcome to Building a Conversational AI Solution with Microsoft Azure. This course will teach you about the options available in Azure to take your raw content and leverage it to create conversational AI.

The Microsoft cloud includes a collection of services that help you create advanced AI solutions. This course will teach you how to build a knowledge mining solution with Azure Cognitive Search.

Users want to interact with applications in their native language, either by text or by speech. This course will teach you how to build a language model by using Language Understanding Service (LUIS).

This course will teach you techniques to build a model for anomaly detection on your own time series dataset.