Starting a Career in Artificial Intelligence?

Posted On: 2021-11-26

  • The global economy will be transformed by artificial intelligence, and AI employment will be in high demand.
  • Obtaining an AI education is difficult and necessitates perseverance and personal effort.
  • AI occupations are future-proof, which means they are expected to last for a long time.

Artificial intelligence (AI) has the potential to produce some of the century's most significant and revolutionary advancements. Self-driving cars, robotic assistants, and automated disease detection are all examples of the AI revolution that is reshaping our lives and work. There are endless chances for individuals who wish to work on the cutting edge of AI research and development, with demand for talented engineers more than doubling in the last few years.

While occupations building and improving AI applications are on the rise, some observers believe these efforts will have a significant impact on economic activity. This is because AI systems can handle massive volumes of data, while humans — potentially millions of individuals in today's employment market — are incapable of doing so.

AI will be a game-changer, increasing the efficiency of many industries... and enabling the production of higher-value services that can lead to overall economic growth. — from the source Microsoft's General Manager of Mixed Reality Education, Dan Ayoub

According to a recent report by the McKinsey Global Institute, around one-third of the American workforce will need to change jobs by 2030. Workers in data-intensive industries, such as financial and administrative professionals, legal support staff, sales clerks, and IT workers, are particularly vulnerable.

Industry watchers are more cautious, pointing out that it's uncertain how many jobs will be lost and how many will be created. According to the World Economic Forum, AI could result in a net gain of 58 million jobs globally.

Regardless of what the new AI economy implies for the future workforce, college students and young professionals will profit from being involved in this rapidly growing industry. Learning computer science or having a college diploma isn't enough to break into artificial intelligence. To create a career in AI, you'll need initiative, bravery, and know-how. According to an Ernst & Young survey, more than half of top AI specialists believe there is a skills gap in the recruitment of new scientists, a true "talent crisis."


Getting an AI Education: You'll Need Intelligence

Although AI has a steep learning curve, the benefits of pursuing a career in AI greatly outweigh the time and effort required. A bachelor's degree in computer science or a related discipline, such as mathematics, is usually required to succeed in the field. A master's or Ph.D. may be required for more senior positions, while leading businesses like Apple and Google no longer require a college diploma. Regardless, your chances of success will be largely determined by variables other than a formal education.


"Any student trying to break into an emerging industry, including AI, should have curiosity, confidence, and perseverance," said Dan Ayoub, Microsoft's general manager for mixed reality education. Ayoub is an experienced AI specialist who agreed to speak with BestColleges about how to break into the sector. "Unlike other jobs, where a path has been carved out over decades, AI is still in its infancy, which means you may have to forge your own path and be resourceful."

There is no standard artificial intelligence degree or program, according to Ayoub. Some colleges may not provide a set of courses for an AI major or concentration, while those with specialized AI programs may take a different approach to the subject.

"Because AI is still a developing subject," Ayoub explained, "universities vary in how specialized a degree you can receive." "Computer science curriculum is a fantastic place to start, as it will familiarize you with the fundamentals of data science, machine learning, and Java. Every day, a slew of new undergraduate and graduate programs emerge that are geared to prepare students for careers in artificial intelligence."


Courses & Curriculum in Artificial Intelligence

AI is made up of multiple overlapping disciplines, as seen in the table below. For example, knowing statistical procedures is just as crucial as having a computer science background. In addition to the studies listed above, multidisciplinary courses in fields such as cognitive science can be beneficial in providing a conceptual framework for AI applications.

  • Linear Algebra
  • Differential and Integral Calculus
  • Matrices and Linear Transformations
  • Integration and Approximation
  • Modern Regression
  • Probability Theory
  • Bayesian Networking
  • Probabilistic Graphical Models
  • Computer Systems and Programming
  • Principles of Imperative Computation
  • Principles of Functional Programming
  • Data Science Essentials
  • Parallel and Sequential Data Structures and Algorithms
  • Logic Programming and Computational Logic
  • Agile Software Development
  • Machine Learning, Deep Learning, and Reinforcement Learning
  • Information Theory, Inference, and Learning Algorithms
  • Neural Networks for Machine Learning
  • AI Representation and Problem-Solving
  • Natural Language Processing
  • Computer Vision and Image Analysis


It's All About Initiative When It Comes to Getting a Job in AI

Few fields stand out as much as artificial intelligence when it comes to the top careers for the future. According to a Gartner report from 2019, enterprise AI applications have increased 270 percent in four years, generating a demand that far outnumbers the present supply of competent job seekers.

This is fantastic news for anyone looking for a job in machine learning or a related field in artificial intelligence. The number of industries that use AI is likewise growing, to the point where almost no big corporation will be unaffected by this fast-moving technological revolution.


Artificial Intelligence Jobs in High Demand

While the job market is promising, it is up to students and professionals to chart their own career paths and obtain the essential skills and expertise. Your personal initiative in learning essential AI subjects and networking with the right individuals will play a role in your success. Internship and job possibilities will almost certainly follow.

Not only the traditional suspects — Google, Amazon, and Apple — but also a slew of new artificial intelligence startups focusing in niche areas are hiring in AI. When you're ready to start applying for jobs, there are a few options:

"LinkedIn is a valuable resource for connecting with AI thought leaders and learning more about their perspectives," Ayoub stated. "Following industry experts will provide you with a solid grasp of where potential job prospects may arise. If your university doesn't offer a dedicated AI program, you might discover AI included in other tech or computer science activities."

Reviewing specific job posts on LinkedIn, according to Ayoub, will give you an indication of the types of opportunities available and the abilities required. Given the wide range of languages, tools, and frameworks required for artificial intelligence jobs, this is extremely critical. While not exhaustive, the following are some examples of abilities that can assist candidates in checking all of the boxes in a job description.

  • Python, Java, C/C++, SQL, R, Scala, and Perl are examples of programming languages.
  • TensorFlow, Theano, Caffe, PyTorch, Keras, and MXNET are examples of machine learning frameworks.
  • AWS, Azure, and Google Cloud Platform
  • Airflow, Luigi, and Pinball are examples of workflow management systems.
  • Spark, HBase, Kafka, HDFS, Hive, Hadoop, MapReduce, Pig are examples of big data tools.
  • SpaCy and NLTK are two natural language processing tools.


Starting personal projects is an excellent way to put these talents to the test — and to learn new ones. It would be impossible to establish your expertise and interest in AI without a machine learning portfolio on GitHub to show potential employers, for example. You may develop your skills by participating in a variety of hackathons, coding challenges, robotics competitions, and open source projects.


How To Grow As An AI Professional

Due to its broad nature there is no particular syllabus or pattern that you can follow to become a great AI Professional. The best that you can do is to go with all formal education that is available and then get into practical perspective of this field. To get huge success you can appear for LoopSkill AI Certification Exam. This Artificial Intelligence Certification Exam from loopskill will assist you in finding greatest job opportunities. You can appear for this exam and you can give a new direction to your life.

The Artificial Intelligence Certification exam from LoopSkill is backed by thousands of companies around the globe so it will assist you in all possible ways.