Your mailbox rules out the infamous ‘Winner of 5 Million GBP Lottery’ mail from populating your inbox and it lands in your spam folder automatically- it’s a usual thing. Do you know the science behind this?
Or, you just uploaded a group photograph of your last trip and Facebook suggested the names of your friends to tag- again a very common phenomenon. But the question still remains unsolved.
Let’s put your curiosity to an end. It’s all possible because of Artificial Intelligence aka AI. You must have heard about this technology before but this post will uncover what AI is and how you can nurture your career in this field.
What is Artificial Intelligence (AI)?
AI is a technology that enables machines to simulate the human mind intelligence to think like humans and act accordingly. The machines used for problem-solving and learning purposes are adaptable to features driven by artificial intelligence.
For example, Alexa is the perfect example of a machine enabled with AI features; you just need to give a voice command and it produces the best-calculated results based on its artificial intelligence. Isn’t it amazing!!!
Understanding Artificial Intelligence
Still, most of the people start thinking about robots when they come across the term ‘Artificial Intelligence’. Just the mention of AI makes them nostalgic about the movies showing human-like machines performing the ‘next to impossible’ tasks – a war between angel machine and demon machine.
Artificial intelligence, in simple words, is a technology that enables machines to mimic the human mind and execute even complex tasks easily. The model on which AI works is: Receiving the command –> Interpretation of Command –> Executing the task
With the technological advancements every now and then, AI has also reached the next level. A machine is equipped with AI-driven features by implementing the cross-disciplinary approach, revolving around the concepts of computer science, mathematics, psychology, linguistics, and more.
Skills you need to become an AI expert
Robots are going to eat up our jobs- you must have heard this joke multiple times across the clans of engineers. According to Oxford University, over 47% of professional jobs in the USA will be killed by the automated processes enabled with AI features. In such a scenario, the job of developing AI-enabled machines sounds future-proof.
Careers in AI need good knowledge and experience of science and math-related topics and courseware. The skills specifically you need to have for AI jobs are:
||Probability, Statistics, Calculus, Algebra, Predictions, Bayesian Algorithm & Logic
||Programming, Data Science, Logic & Efficiency
||Physics, Cognitive Learning Theory, Mechanics, Language Processing
What study lands you an AI job?
AI jobs are cooler than other technical jobs – there is no denying the fact. An AI specialist plays with technology whereas the other experts follow a defined pattern of implementing the technology. First of all, you need to target a career in AI; computer science engineering-related career in artificial intelligence is the most popular one.
To land an AI job, you need to:
Become a pro in technology – Start experimenting with the technologies like MySQL, PHP, Big Data, and Postgres. Keep exploring as many technologies as you can to pursue a successful and rewarding career in AI.
Keep a tab over JDs for AI – It’s a smart move to browse through the job descriptions for AI-related careers on different job portals. It will help you keep abreast with concurrent technologies in AI. Prepare yourself accordingly.
Pursue new-age computer science engineering – Most of the advanced engineering colleges have added AI as a module to their B.Tech (CSE) curriculum. While pursuing B.Tech, you can gain the insights into technologies you need to learn for an AI job.
Upgrade your technological skills – The existing engineers can go for certificate/ diploma course in artificial engineering to upgrade themselves. It will help them switch to the most futuristic and promising career i.e. AI.
Career Prospects in AI Jobs
The opportunities for AI experts are ample in number as the IT companies including the giants like IBM, Google, and Microsoft are on the lookout of AI engineers. Career evaluation in this emerging technology brings our search to the below-mentioned most popular profiles:
Machine Learning Engineer
Artificial intelligence is a vast field, which includes machine learning (ML) as its subset. Machine learning engineers are the most sought-after experts by the industry. The ML engineers are well-versed with the software skills that need to be applied to design predictive models. Utilizing NLP (Natural Language Processing) while working on humongous sets of data is also the responsibility of an ML engineer.
The demand for skilled data scientists has been burgeoning across the industries. These experts employ the means of machine learning and predictive analysis to gather, analyze, and understand the valuable insights from the massive volume of data-sets. Data scientists are a pro at accessing the data tools and platforms like Hadoop, Hive, Spark, etc.
Robotic science has been largely employed in diverse sectors like security, healthcare, space research, and so on. Henceforth, the demand for robotic scientist remains on surge constantly. Robotics scientists develop robots and mechanical devices that can automate the work processes. ATMs are the perfect examples of robotics engineering where you don’t need a human to withdraw cash.
Business Intelligence Developer
BI developers are widely demanded across the industries. Their prime role is to synchronize and analyze the complex data in compliance with the current market trends. It helps the organizations increase their productivity and efficiency. Along with the core analytical and technical skills, they are expert at problem-solving and communication skills.
A research scientist has the 360-degree knowledge of various disciplines of artificial intelligence, such as computational statistics, machine learning, reinforcement learning, NLP (natural language processing), computer perception, graphical models, etc. A number of IT and non-IT firms are always in dearth of experienced research scientists.
What do you think of artificial intelligence and its power to nurture a desirable career?