https://my.ine.com/CyberSecurity/courses/0c09afcd/email-security-management-strategy

Email is one of the most common forms of electronic communication for businesses, but it is also one of the most abused by malicious threat actors. For those reasons, organizations must understand how to effectively secure their email infrastructures, in addition to training their users to recognize suspicious or malicious messages.  In this course, we'll go over why email security is critically important with some examples of how email has been abused over the years. We'll discuss what type of email filtering systems should be in place and what they should look for. In addition, we'll demonstrate how to set up SPF, DKIM, and DMARC to attempt to properly identify phishing messages. Organizations always have data that must stay private, so we'll take a look at encryption methods and techniques as well.

https://ine.com/learning/bootcamps/github-for-everyone

 

This is a beginner-friendly Bootcamp that will teach you the basics of GitHub. You will learn how to use GitHub as a collaboration platform for your projects, implement repository access rules, communicate effectively using GitHub Flavored Markdown, leverage the built-in project management features and tools, and automate general workflow processes using GitHub Actions. You will have the opportunity to reinforce the essential concepts taught by interacting with one another through Github during the Bootcamp.

Last updated 3/2023MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 ChDifficulty: Novice | Genre: eLearning | Language: English | Duration: 28 Lessons (5h 19m) | Size: 864 MB

https://ine.com/learning/courses/python-collections

Learning how to use Python Collections is fundamental for understanding Data Science workflows. The same principles you use with 'builtin' collections will be applied to more advanced structures from Data Analysis libraries (such as pandas DataFrames, numpy arrays, and Spark DataFrames).

INE - Deep Learning with Python

https://ine.com/learning/courses/deep-learning-with-python

Introduction to Deep Learning with Keras and Tensorflow- Learn the basics of deep learning by coding it yourself with Keras. Keras is a very popular user friendly deep-learning framework for creating and running deep learning models. Using Keras (with a tensorflow backend) we will learn to build deep learning models by practicing together on the following tasks: image recognition, text classification, and housing price predictions. You will learn the correct way to conduct end-to-end deep learning: preprocessing the data, appropriate network architecture, optimizers, loss functions, cross-validation techniques and evaluation metrics. Prior experience with Python is required — or the ability to learn it as you go.