Free Training

This course includes an overview of the storage requirements of the Google Cloud Platform.

Self-Paced Learning

2.5 Hours

Beginner

This free course is open to anyone interested in Azure certification. It explains Microsoft's new role-based Azure certification options.

Self-Paced Learning

30 Min

Beginner

Learn about Azure Security and how it supports security for cloud and on-premises services—a must for current and prospective cybersecurity professionals.

Self-Paced Learning

1 Hour

Beginner

Get an overview of Azure Storage Fundamentals and learn about the different types of data storage models in this course for IT professionals.

Self-Paced Learning

1 Hour

Beginner

Python is a language with a simple syntax, and a powerful set of libraries. It is an interpreted language, with a rich programming environment, including a robust debugger and profiler. While it is easy for beginners to learn, it is widely used in many scientific areas for data exploration.

Self-Paced Learning

1.5 Hours

Beginner

This course will comprehensively cover each aspect of running a cloud server.

Self-Paced Learning

30 Min

Beginner

This course will likely be rather lecture heavy with short implementation exercises. Since users should already be familiar with python & be able to work with datasets.

Self-Paced Learning

4.5 Hours

Beginner

Machine learning is a subfield of artificial intelligence (AI). Machine learning algorithms instead allow for computers to train on data inputs and use statistical analysis in order to output values that fall within a specific range.

Self-Paced Learning

2.5 Hours

Beginner

This course focuses on the data science part, how do we find relevant data, what can we use PCR for, etc. After this course, users should be able to understand datasets and determine/fix problems with them.

Self-Paced Learning

4.5 Hours

Beginner

Natural language processing (NLP) and text mining are the art and science of extracting insights from large amounts of natural language.

Self-Paced Learning

2.5 Hours

Beginner

This Course will cover basic neural network architectures and learning algorithms, for applications in pattern recognition, image processing, and computer vision.

Self-Paced Learning

2.5 Hours

Beginner

This Course Covers: Convolutional Neural Networks, Recurrent Neural Networks, Autoencoders, and Generative Adversarial Networks.

Self-Paced Learning

2.5 Hours

Beginner