What is the Value of Being Certified in ML and AI?

The Value of AI and ML Certifications

The field of artificial intelligence (AI) is expanding at a never-before-seen rate. Businesses and individuals are recognizing the advantages of automation, and every day, more business processes are using AI. Naturally, with the sector expanding so quickly and continuously, there is a growing need for experienced AI workers. AI is a large and in-depth subject. Before beginning to apply this branch's concepts, you must fully comprehend them. Those who are interested in working in the field of artificial intelligence should think about earning both an AI and an ML certification.

What is an Artificial Intelligence or AI degree?

AI degrees prepare specialists who create intelligent machines and systems that perform tasks normally executed by human intelligence, like playing a game or understanding natural language. Common examples of AI include chess-playing computers or self-driving cars. They rely on neural networks, natural language processing and deep learning to analyze large amounts of data, find patterns, and make predictions and decisions taking into account relevant information.

What is a Machine Learning or ML degree?

Machine Learning or ML is a specialized sub-discipline of AI. ML degrees help students by teaching them how to use algorithms and statistical models to generate computer systems that can learn for themselves. These computer systems depend on data and self-generated trial and error feedback to do tasks, without relying on instructions from programmers. An example of an ML system is the picture recognition software that Apple or Google use. The system scans the elements inside pictures, grouping them into separate categories like location, color, subject, etc.

Difference between AI and ML

The primary difference between AI and ML is that the former includes systems, methods and robots performing intelligent actions. ML focuses solely on AI methods and applications that learn and change their decision patterns, according to data.

Importance of an AI and ML Certification

• Specialisation: Any technical role requires hardcore specialization. People specialize in avenues like SAP ERP, amongst others. Similarly, you need certification in AI and ML, in order to kick-start your career in this domain. A certificate can make you seem more credible in the eyes of prospective employers. Whenever you enter a job market, you are a brand. Specializing in AI and ML will help you augment your brand, making you enticing to employers.
• Technical Competence: AI and ML are tech-heavy specializations. There are many technical theories, concepts and different terminologies that you have to learn. It is very specific as well. There are no greys in AI. It's, after all, a branch of science. It isn't arts, that there can be some level of guessing. Well, to make headway in the heavily-competitive AI and ML industry, you need technical competence. That can come from doing a certificate course in this discipline.
• High Industry Demands and Changing Trends: Emerging technologies like AI and ML are becoming an essential part of the industry, and studying it can help you stay relevant in the evolving job market. The data science and AI industry is already facing a shortage in the number of skilled workers and is always on the lookout for fresh, dedicated talent. A study by the Analytics India Magazine revealed that there has been a growth in the number of jobs in analytics and data science, with India contributing to 6% of job openings worldwide. This calls for very highly specialized employees, and that too in huge numbers. Many universities have kept this in mind, and are providing certifications in AI and ML. Being certified in AI and ML will be good for you because AI is set to create millions of jobs in the next few years. There will be a phenomenal rise in the demand for skilled AI practitioners. New-age technologies like AI and ML are infiltrating every domain, and students who want cushy, good jobs would do well to pick up certifications.
• The Sheer Diversity of Jobs with Very Specific Job Descriptions: The jobs available after certifications in AI and ML, including Machine Learning Researchers, AI Engineers, Data Mining Analysts, Machine Learning Engineer, Data Scientist and Business Intelligence Developer. These are very diverse, yet very specific roles. Machine Learning certification courses can get you a good position in a firm that is concentrating in that domain. Similarly, if you want to become a Machine Learning Researcher you need to concentrate on machine learning and deep learning. A budding AI engineer needs a more comprehensive course covering all the facets of AI. As diverse as this industry is, the roles in it are very specific. Certification courses can equip you with the skills, knowledge and degree that you need for these jobs.
• A Lot of Competition: There is a lot of competition in this industry because it's new, and has tremendous potential. Millennials and the generations after them are jumping onto the AI bandwagon, being technology natives. However, just being good in technology doesn't mean you can get a coveted role in the AI industry. You have to stand out among your peers. The only way to do this is to arm yourself with certification courses. There are many AI industry hopefuls that may not have had the good fortune of studying in a top-ranked engineering college during their undergraduate days. There might be those industry hopefuls who were studying engineering way before AI gained exposure here. There are those who want to change their industry to join the AI brigade. For such people, certification courses are good because they can help them build up their resume, thus becoming more attractive to prospective employers.

There's a lot of competition in this particular branch of science, due to its many areas of application. You have to be different and stand out, to stand a chance of survival. Hence, you cannot undermine the importance of a certificate course in AI and ML. The future is digital and tech-heavy. As we move more towards automation, it would be good if we learnt how to handle this amazing technology with such great potential.

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