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Building a Career in Emerging Technologies

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With new advancements in fields like Machine Learning (ML), Internet of Things (IoT), Artificial Intelligence (AI), and Deep Learning, there are many opportunities for those looking to pursue a career in tech.

Building a Career in Emerging Technologies 

There is no doubt that technology is constantly evolving. With new advancements in fields like Machine Learning (ML), Internet of Things (IoT), Artificial Intelligence (AI), and Deep Learning, there are many opportunities for those looking to pursue a career in tech. If you are interested in pursuing a career in emerging technologies, or if you are already working in the industry and want to stay ahead of the curve, then read on for information on some of the most promising areas of technology today! 

The Opportunity

There are many advantages to pursuing a career in emerging technologies. First and foremost, you will be at the forefront of innovation. As new technologies are developed, there will be more opportunities for those who become well-versed in these technologies to find success. Additionally, many emerging technologies are still in their early stages of development, which means that there is significant potential for growth in these fields. Finally, working in emerging technologies can be extremely exciting and rewarding, as you will have the opportunity to work on cutting-edge projects and be a part of something truly groundbreaking. 

Understanding Emerging Technologies:

There are so many areas that you can focus on as it relates to emerging technologies. Four areas to consider are Artificial Intelligence, Machine Learning, Internet of Things, and Deep Learning. Here is a brief introduction to each area:  

Artificial Intelligence (AI): AI equips machines to sense, plan, comprehend, act, and learn with human-like levels of intelligence, allowing for quickly analysis of vast amounts of data to identify patterns or trends that would otherwise be impossible for humans to do alone. This helps you make better decisions based on real-time data analysis, enabling you to react quickly and effectively in fast-changing markets. Digital assistants like Siri, Alexa, Cortana, and Google’s Assistant are wwidely known products that use AI to make our life more comfortable. Big and small companies make product recommendations to customers based on prior purchasing behaviors, enhance their quality control systems, or make our computers or homes more secure through AI-driven security monitoring. Even some video games now use AI to analyse player’s patterns and provide a unique playing experience.   

Machine Learning (ML): Similarly, machine learning uses algorithms that allow machines to continuously learn from large amounts of data to improve performance over time without human intervention. This makes it a powerful tool for automating repetitive tasks and improving operational efficiency. Some examples of Machine Learning can be found in image and voice recognition, fraud detection, spam and malware protection, and search engine optimization. 

The Internet of Things (IoT): IoT allows you to connect a vast array of devices and systems together through networks, allowing them to collect, share, process and analyze data in real-time. This opens countless possibilities for looking to improve operations, ranging from driving down costs by optimizing resource utilization, to increasing customer engagement by creating new channels for interaction. We can find IoT devices and applications all around us, from elderly care monitoring, bike helmet crash sensors or smart home devices of any kind (smoke detectors, door locks, alarms, flood alerts, etc.).  

Deep Learning:   Deep learning is a subset of machine learning. It consists of multi-layer neural networks that attempt to simulate the behavior of the human brain, allowing it to “learn” from large amounts of data, and then enhance and optimize it for accuracy. Examples of Deep Learning include: fraud protection and automated loan approval used by financial institutions, driverless car systems, intelligent chatbots in customer service portals, and image recognition used by medical specialists and radiologists in healthcare.  

Artificial Intelligence

Where do I start?

There are many ways to get started in an emerging technology field. One way is to look for online courses or bootcamps that can teach you the basics. Alternatively, you can also investigate getting a degree in computer science or a related field. 

Once you have the basics down, it’s important to start building up your portfolio. This can be done by working on personal projects, earning advance certifications, or participating in online challenges. By highlighting your skills and abilities, you’ll be more likely to land a job in an emerging technology field. 

But it doesn’t end there. It is important to stay up to date with the latest advancements in your field of interest. Whether you are reading industry news, taking additional and ongoing courses, earning certificates, or attending conferences, it is crucial that you are constantly learning about the latest trends and developments. Additionally, networking, either in person or online, is a great way to meet other professionals in your field and stay current on industry news.  

Begin Your Learning and Development Now!

At New Horizons we have training solutions that can meet your needs no matter where you at in your learning curve. If you are just starting out, attend our program,

Microsoft Azure AI Fundamentals. This course introduces the essential concepts related to AI and the services in Microsoft Azure that can be used to create AI solutions. It focuses on awareness of common AI workloads and the ability to identify Azure services to support them. 


If you are more advanced in your AI knowledge, you might consider, Designing and Implementing a Microsoft Azure AI Solution. This course is intended for software developers wanting to build AI infused applications that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework.


If you are looking to apply various approaches and algorithms to solve business problems through AI and ML, follow a methodical workflow to develop sound solutions, and use open source, off-the-shelf tools to develop, test, and deploy those solutions, and ensure that you protect the privacy of users – the CertNexus Certified Artificial Intelligence Practitioner program is right for you. This course also includes an exam voucher for the Certified Artificial Intelligence Practitioner (CAIP) exam (exam AIP-110). 

Other related courses: 

New Horizons training will give you the skills you need for greater proficiency and effectiveness. We are committed to producing the highest training ROI in the market.


/ Author: Liam Phelan / Number of views: 164 / Comments: 0 /

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