How can we help you?
If the FAQ below do not help answer your question, please be sure to contact us at support@ine.com for additional information.
Getting started
Supporting your learning journey is our passion. We've provided these frequently asked questions to ensure that you can answer questions on demand. Don't hesitate to reach out to us if you have additional questions.
Can I teach myself cyber security?
Of course! With INE’s self-paced training, you can start with the basics and work your way up to our advanced content. We’re experts at making you an expert, and we’ll be with you every step of the way.
How long does it take to learn security?
This all will depend on the individual learner as everyone learns at a different pace. Typically, it will take a student approximately one to two years to learn the basics of security. However, with the continuous evolution of the online and digital landscape, we encourage you to never stop learning! Whether you’re just starting out or a seasoned professional, there is always something new to explore.
What certifications are given by the cloud vendors?
The major cloud vendors (AWS, Azure, and Google Cloud) have role-based certifications. AWS and Azure both have fundamental level, associate level and professional/expert level certifications as well as specialty certifications. With Google, there is one associate level certification and several professional level certifications.
Which cloud vendor would you recommend learning about?
Not surprisingly there is no right answer to this. Each cloud has a substantial market and opportunities for growth. I suggest starting with a more general approach, trying all three major clouds while learning fundamental concepts. You can then choose a cloud to focus more on as you gain experience. INE is developing our cloud content this way - starting with general cloud concepts and building toward specific cloud implementation.
What are the most in-demand programming languages?
Python is the most common language used in Data Science for its flexibility and broad applicability (Data Analysis, Machine Learning, Data Processing, even Web Development and system scripting). Python is followed by R, which is more popular in some finance positions or heavy-duty data applications. We also have Julia and D which are more niche/academic languages. C++ is far less common in Data Science, but it's used to train heavy-performance Machine Learning models.
What if I need training for my organization?
Whether you are looking for training for your team or entire organization, our Business plans provide all the tools you need to stay on the cutting edge of the latest technologies. Contact us to learn more about our Business plans, get a quote, or request a demo.
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Whether you’d like more information on our training materials or are interested in a free demo, please contact us at any time.