If you really want to invest in your future, the way to go is to get on top of in-demand tech skills. Below is a basic definition of nine top tech skills with links to the courses that will help you learn how to apply them.
Artificial Intelligence (AI)
AI is the acronym you likely hear the most in headlines of new tech breakthroughs that apply the smart machine to advantage. From entertainment to healthcare, no matter what the industry, it is likely being propelled forward by artificial intelligence. Gartner predicts the business value created by AI will be at $3.9T in 2022.
AI is also credited with creating new jobs, according to ZipRecruiter’s latest report. Among those is that of an AI engineer. If you’re interested in a career that boasts an average salary that tops six figures in the U.S., you can qualify by enrolling in a specially tailored master’s program that was co-developed with IBM. But if you’re still at the beginner stage and wish to learn more about the subject, you can take an introductory course that will teach you the basics.
Blockchain has moved out of the realm of cryptocurrency hobbyists and squarely into enterprise applications. It’s no longer limited to Bitcoin either, but forms the backbone of Hyperledger, Ethereum and Multichain blockchain platforms, as well. According to Glassdoor, there was a 300% increase in blockchain jobs from 2017 to 2018.
The average salary for such jobs was $84,884 per year, which is 61.8% higher than the U.S. median salary of $52,461. This means that getting a certification in blockchain has the potential to give your career a huge boost.
Cloud/Amazon Web Services (AWS)
The biggest name in cloud services is Amazon Web Services (AWS), which means that businesses need people who have the skills to build applications in that environment. “The average salary for this field ranges from about $82,550 per year for Systems Administrator to $141,379 per year for Software Architect,” according to Indeed. The demand for qualified professionals in the field continues to grow as more and more businesses embrace the advantages of cloud computing.
You can pursue a master’s degree in cloud that will cover AWS, as well as Microsoft Azure. You also have the option of getting certified as an AWS Solutions Architect by taking just a single Certification Training Course to prepare for a range of in-demand careers, like cloud developer, cloud software engineer, AWS Solutions Architect and DevOps engineer.
Cybersecurity skills are very much in demand as the increasing use of data also calls for safeguarding it. The high demand translates into a fairly high salary, with a national average of $110,899 a year, according to ZipRecuiter. You can become a true expert in this field by completing a master’s program.
With nearly 100 hours of classes, you will learn comprehensive approaches to protecting your infrastructure, including securing data and information, running risk analysis and mitigation, architecting cloud-based security, achieving compliance and more.
As we saw in 12 Key Tips for Learning Data Science, The job of a data scientists is considered among the best options for 2019. It offers a median base salary of $108,000 combined with a high rank for job satisfaction and many job opportunities.
If you want to start on the path of this career, a good place to start is the Data Science with Python course from Simplilearn, which was co-developed with IBM. You can read the full review of this course here.
A knowledge of data analytics improves problem solving and data interpretation skills to make better business decisions. These skills are vitally needed in a range of industries, including banking, retail, healthcare and manufacturing. An Introduction to Data Analytics Training Course will give you an understanding of the data analytics life cycle, from problem definition to solution deployment, as well as how analytics, data visualization and data science methodologies can be employed to drive better business decisions.
IoT refers to how connections on devices open up great opportunities to extract data. An Introduction to IoT Training Course will teach you IoT concepts, methodologies, tools and effects. On that basis, you can understand how IoT is integrated into business applications to add value to cross-enterprise data and improve business results. The course will also make you aware of common security and privacy issues, as well as regulations you need to know about when setting out to use IoT.
Machine learning is frequently paired with AI, as it is a form of AI that automates data analysis to enable computers to learn and adapt through experience to carry out specific tasks. Nearly a quarter of North American enterprises already rely on machine learning for at least one company function.
Consequently, the demand for machine learning engineers is strong. A course on machine learning covers its concepts and techniques, including supervised and unsupervised learning, and modeling to develop algorithms. (Learn more in Breaking Into Machine Learning: 5 Online Courses to Help You Get Started.)
Data visualization is an important skill for data scientists who have to convey the information they extract in an understandable way. Visualizations help convey the relationships between variables and resulting movements to stakeholders without data science expertise. Visualization techniques are included in the Data Science with Python course from Simplilearn.
Those who seek a promising career with strong earning potential would be wise to take a course that would put them on the path toward a solid tech future.