Pandemic has caused a significant increase in demand for AI professionals. Here’s how aspirants can equip themselves with skills in AI.

 According to a research report released in February, demand for data engineers was up 50% and demand for data scientists was up 32% in 2019 compared to the prior year. 

The pandemic has caused a major shift in the business. Economies around the world have slowed down or completely halted. The shift to working from home is a completely unprecedented change. One of the biggest advantages during this phase was the use of artificial intelligence and machine learning. Several applications underuse have applications of artificial intelligence and machine learning. Collaboration and project management tools use machine learning to a great extent. Artificial intelligence and machine learning have increased capability manifolds, which has substantial benefits for companies and others. 

Numerous people have been able to shift to work from home with little difficulty because of ML and AI. While businesses were grappling to streamline their operations, machine learning and artificial intelligence came way too handy. 

What can machine learning and data science do?

 Machine learning and artificial intelligence is being widely used by businesses to make work from home convenient for employees. Small –scale and large –scale businesses alike are re-evaluating their functions to see how artificial intelligence can fit in. Companies are steadily announcing plans to incorporate work mechanisms that involve less office space, structured work, and more collaboration. As companies increasingly focus on making work-from-home convenient, the focus on machine learning is expected to increase further. 

 Data science, on the other hand, is giving businesses a new way to make decisions. The incessant increase in the amount of data has put organizations in positions to gather and find insights. The world of data science is getting stronger during the lockdown as interest in data science is burgeoning. AI-powered mechanics and operations have proven effective in various spheres of business which are further decreasing business-related risk. This is the major reason that being educated in this field can improve skills. If you’re intrigued by data science and machine learning, getting in-depth knowledge in this field will help you make a strong career. An additional degree in this regard will help you make a good career. 

 What’s more, with the increased time at home, taking courses and certifications will pace up my career too. With prominent globally–recognized certifications and programs in artificial intelligence, staying ahead of the curve easier. You will also gain access to industry experts and some groundbreaking concepts. 

 Learn artificial intelligence 

 Machine learning is a subset of artificial intelligence or it can also be called the smallest part of artificial intelligence. As AI is increasingly finding applications in human life and business, the demand for artificial intelligence engineers is increasing. 

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Similarly, applications of machine learning are ubiquitous. Starting from computer vision in driverless cars, carts, and other automated vehicles, to retinal scan to finger print scanner, machine learning is reaching the farthest corners of the industry. 

Artificial intelligence certifications

 Professional certificate program in machine learning and artificial intelligence 

 This is a 16-weeks short program which equips you with the skills and knowledge required to put an organization at the forefront of the AI revolution. This AI certification offers in-person classes with renowned MIT faculty. 

 To make this certification, you will need at least three years of professional experience and a bachelor’s degree in statistics, computer science, physics, or electrical engineering. 

 IBM AI Engineering Professional Certificate 

 Taking this certification will equip you with skills in machine learning and deep learning. You will get knowledge of various libraries including SciKit, Pytorch, Keras, and Tensorflow. You will also gain a comprehensive understanding of natural language processing, video processing, recommender systems, and other types of classifiers. 

 This certification is awarded by IBM in collaboration with Coursera. 

 ARTIBA’s AIE TM (Artificial Intelligence Engineer) 

Taking this certification will equip you with skills in machine learning, regression, supervised learning, unsupervised learning, reinforced learning, natural language processing, cognitive computing, and deep learning. AIETM is a high-level credential for engineers who are looking to gain deep expertise in building AI systems. This credential will accelerate your career and boost growth.

This certification is offered by ARTiBA (Artificial Intelligence Board of America).