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BUILDING A CAREER IN EMERGING TECHNOLOGIES



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.  

  

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). 

  

We also provide certifications in: Azure AI Fundamentals, Azure AI Engineer
Associate, Azure IoT Developer Specialty, Certified Artificial Intelligence
Practitioner, Certified Artificial Intelligence for Business Professionals,
Certified Internet of Things Practitioner (CIoTP), and AWS Machine Learning –
Specialty.  

  

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. Explore our course catalog, and invest in the skills that will keep you
competitive and up to date on the latest technology.


 





13
Dec 2022

By: New Horizons

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