Artificial intelligence is everywhere now! From manufacturing plants, where automated machines are doing everything from lifting and picking to assembling automotive parts to painting car parts.
And artificial intelligence now even enables us to shop at superstores without having to visit the store and avoid the long queues while practicing social distancing. If you’re not aware yet, go check out Amazon’s newly introduced Dash Cart. These are the many ways how artificial intelligence is changing lives.
What’s more, it turns out, people like to be bossed by a robot more than a human. Good thing is – artificial intelligence is an emerging area and industry are pouncing on it. There’s good money to be made. Compensation-wise AI Engineers are offered one of the highest-paid professionals around the world. Consequently, becoming an AI professional is also is one of the toughest things to do. But AI requires exceptional problem-solving skills as the field has some trickiest problems to solve. As you may expect, the roles in artificial intelligence require a gamut of skills.
As the AI industry is growing, the demand for AI professions is increasing too.
Skills required for AI
Artificial intelligence is one of the trickiest fields to be in today. After all, mimicking a human brain isn’t an easy task.
That being said, there are various roles in artificial intelligence, skills for which range from low-level programming and implementation to basic research.
The following are a few roles in artificial intelligence:
1. Researcher – These use their theoretical knowledge to reveal new systems and capabilities. They hypothesize new or different ways for machines to think and test their research for real-world feasibility.
2. Algorithm developer – They turn research into implementable repeatable processes by turning them into mathematical equations, which can be performed in real life using hardware and software.
3. Software developers – Turn algorithms into simple software that analyze, interpret, and make decisions.
4. Hardware technicians – These professionals build pieces of equipment (like a robot) that interact with the physical world. These equipment use software to operate and move in the physical space.
All these roles require extensive knowledge of mathematics and strong command on complex mathematics and other numbers –intensive topics.
For instance, statistics, probability distributions, calculus, multi-variable algebra, Bayesian algorithms, and more are essential topics to cover in mathematics.
Similarly, in science, physics, cognitive learning theory, language processing, mechanics, and more are needed to do well in AI.
In computer science, data structures, programming, logic, and efficiency, are important areas to cover. Additionally, irrespective of the role or job title in artificial intelligence, you should read a lot. AI is a growing field and aspirants should stay abreast of the developments in the industry.
Reading case studies and experimenting with emerging technologies—Big Data, Map Reduce, Spark, PHP, MySQL – will be you understand AI inside out.
If you’re still in your undergrad, you can focus on the above skills and build them stronger. However, if you’re a seasoned professional and aspire to learn the skills required to smoothly transition to AI taking AI certifications is a good option. It will accelerate the transition to a new AI role easier.
Non-technical skills for a career in AI
In addition to, above mentioned hard technical skills. AI engineers and other roles require non-technical skills.
The following are a few skills that AI professionals need to thrive in an AI role.
1. Critical thinking: AI professionals are not expected to take anything at face value. They take each new challenge as a curios adventure to solve them. Trial and error is a natural inclination for them and are always up for a test before making a concrete decision.
2. Push boundaries.: AI is still an emerging area and it needs a lot of research to make breakthroughs. AI professionals should strive for achieving their next goal and push their boundaries. They are expected to improve existing systems and come up with new ways to make life easier and better.
3. Love math and science – Artificial intelligence is built on maths and science. Individuals should try to get a strong grasp on these subjects to do better at their work.
3. Not easily overwhelmed- As mentioned earlier, AI is facing pressing challenges. Solving these problems takes time. This can frequently happen in AI roles, as solving problems takes time. Sometimes these problems remain and more work can pile up and work can extend into weekends. AI professionals are expected to not lose their tempered and manage their stress and overwhelmed.
These are the skills you will need to smoothly cover your profession in A1.
So what do you think now? Are you ready to start a career in AI? Well – it’s high-time!