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This interactive Angular Project course will enable you to build dynamic, responsive,& interactive web applications.

In this course, we will process massive streams of real-time data using Spark Streaming and create Spark applications using the Scala programming language (v2.12). We will also get our hands-on with some real live Twitter data, simulated streams of Apache access logs, and even data used to train machine learning models.

The goal of this course is to teach you how to deploy machine learning models in Flask. You'll also learn to deploy applications to the web. You'll learn to train your models, test them, and ensure that they are of the best quality.

The complete guide to creating your own Pose Estimation apps: Learn the full workflow and get up to speed with developing 5 AI apps

In this course, students will learn general strategies for planning, designing, developing, implementing, and maintaining an IoT system through various case studies and by assembling and configuring an IoT device to work in a sensor network.

This course will provide you with practical experience in C++. You will learn the basics and advanced concepts of C++, such as data types, arrays, functions, encapsulation, inheritance, exception handling, object-oriented programming (OOP), and a lot more, by developing interesting real-world applications.