- April 23, 2019
- Posted by: adejokeraji
- Category: Education
In this article, we have spelt out modern career paths for the emerging digital population as technology has evolved at an extremely rapid rate. Thirty years ago, the World Wide Web did not exist. But now traditional industries have been uprooted by innovative and disruptive technology. In fact, everything from the way we socialise and purchase goods to how we educate students has been affected by technological advancements. Studying any of the following courses puts you on the right track
ECOMMERCE
It simply refers to purchases made on the internet, it encompasses everything from buying or selling online (such as retail sites or marketplaces), to mobile commerce, business to business sales, data collection, and financial and trading transactions. The term e-business typically refers to businesses that operate solely online whereas ecommerce refers to both virtual and brick and mortar stores that sell online. Ecommerce platforms are software products that enable businesses to create and build storefronts for selling online. Popular ecommerce systems include Shopify, BigCommerce, Magento, and WordPress ecommerce plugins and themes.
Taking a course on ecommerce can help give you additional skills such as learning business management and marketing to successfully operate an online business. Skills needed to be successful in ecommerce include marketing, accounting, finance, strategy, pricing, and analytics. Digital marketing is critical to attracting an audience to an ecommerce site. This includes social media marketing, content marketing, search engine optimization, digital advertising, affiliate marketing, influencer marketing, virality, and more. Understanding these business fundamentals can help you grow an online ecommerce business.
ARTIFICIAL INTELLIGENCE
Artificial Intelligence is the ability of machines to seemingly think for themselves. AI is demonstrated when a task, formerly performed by a human and thought of as requiring the ability to learn, reason and solve problems, can now be done by a machine. A prime example is an autonomous vehicle. The vehicle is able to perceive its surroundings and make decisions in order to safely reach its destination with no human intervention. Converging technologies along with Big Data and the Internet of Things (IoT) are driving the growth of AI. Machines communicate with one another and are now capable of advanced perception, capturing millions of data points in seconds, processing the information and making decisions, all in a matter of seconds. As AI evolves, machines will have more capability to physically act based on their intelligence, eventually leading to machines that can build better versions of themselves.
The field of Artificial Intelligence encompasses computer science, math, psychology, neuroscience, data science, machine learning and many other disciplines. An introductory course in AI is a good place to start, as it will give you an overview of the components bring you up to speed on the AI research and developments to date. You can also get hands-on experience with the AI programming of intelligent agents such as search algorithms, games and logic problems. Examples of AI in use today are self-driving cars, facial recognition systems, military drones and natural language processors.
ROBOTICS
The field of Robotic systems encompasses everything to do with the design, engineering, programming, testing and development of robots, human robots, and collaborative robots to help humans perform daily activities. Robotics is growing rapidly with the advent of big data and the IoT and machines are now capable of processing large quantities of data and learning with minimal human interaction. Using autonomous vehicles as an example, the sensors on the vehicle process thousands of data points each second along with location data from the web to move the vehicle safely along its route. Robotics projects and applications can be found across a large number of industries from automotive production to military drone operations to landing on and exploring Mars.
Robotics courses cover multiple science, math and technology disciplines including machine learning, artificial intelligence, data science, design and engineering. There are programs designed to introduce you to each of these areas and jump start your career in this exciting and rapidly expanding field.
CYBER SECURITY
Why study cyber security? The answer is very evident with the advantages of the digital explosion which resulted in the disadvantages of security concerns, both in business and personal terms. Governments and corporations are desperate to ensure their digital assets are properly protected, so that consumers can go to and buy from them in confidence. Yet as we’ve seen over the past few years, there has been story after story in the news about big-brand companies losing data, being hacked, or otherwise losing out to online hackers.
If you’d like to become a cyber security specialist, you should obtain a 4-year bachelor’s degree in computer programming, computer science, information science or computer engineering. English, statistics and mathematics courses will be needed as well.
Obtaining a degree or training in any of the aforementioned guarantees a career path of continuous relevance.