Career Prospects of AI Certification Courses: a Review

Modern times have equipped mankind with advanced tools to navigate through daily affairs. From the general populace to multinational corporations and business enterprises, relevant knowledge and tools have been essential to achieving improvement. For instance, data science and artificial intelligence are two of the most prominent technological advancements that have been a gift to human society. As a result, future aspirants are inspired by the evolution and tend to be a part of it and renowned public universities and private educational institutions are in the process of educating the masses in the forms of different certification courses. PG in data science and AI certification courses are examples, to name a few. The objective of this article is to present the job prospects for AI aspirants so that they can have a better future.

• Machine Learning Engineer

The first on the list of promising job opportunities for AI aspirants is machine learning. Machine learning engineers use algorithms, artificial intelligence, and data to operate and maintain different advanced machines and technologies. They work towards the goal of perfecting a machine’s capacity for learning and delivering learning-based data to the operators. Machine learning engineers use algorithms to decipher information similar to mankind’s learning procedures. Individuals with knowledge through AI certification courses are the best fit for the job although people with bachelor’s degrees in computer science can also learn and work their way up to be competent machine learning engineers.  

The job Responsibilities of a machine learning engineer are as follows,

• Applying algorithms for the machine learning process
• Supervising AI experiments and tests
• Creating and upgrading ML systems
• Executing statistical analysis

• UX Designer

UX designers (user experience) create feasible, aesthetically promising, and purposeful webpages and apps that are useful for frequent use by the general populace. Their job in a single sentence can be jotted down as they are responsible for the online experience of people when they use different applications and websites. They are involved in creating targeted digital products for the populace as well as comprehending human motivations. Other than AI certification courses people with degrees in either of the below-mentioned subjects can be UX designers,

• Computer science
• Digital media
• Graphic Design
• Media Technology
• Web design

The job responsibilities of a UX designer are as follows:

• Maintaining the best practices, working guidelines, and designing standards 
• Supervising research and projects to grasp the needs of the masses
• Train, manage, and offer assistance to beginners in the field

• AI Research Scientist

An AI research analyst is the person responsible for improving a computer’s learning and understanding process. They perform research to upgrade learning procedures so that AI and AI tools have a better understanding of information and experiences. Apart from AI certification courses, individuals need specialized skills to be an AI researcher such as neural networks, machine learning, and deep learning along with designing large distributed systems for training models. People with deep interests in learning and research can be AI researchers through hard work and dedication to achieve greatness in this line of work.

The job responsibilities of an AI research scientist are,

• Design data-driven models to record and analyze human behavior
• Contribute to the process of understanding different types of data such as text, images, audio
• Assist in upgrading AI machines in terms of technologies and science

• Robotics Engineer

A robotics engineer is the one responsible for designing machines that can duplicate human actions. They create machines that are capable of working in mining, automotive services, manufacturing, etc. It is a career choice of great prospect for individuals with an interest in engineering and creativity. They create prototypes, create and experiment on machines, and supervise and maintain the controlling application.

The job responsibilities of a robotics engineer are as follows,

• Testing AI-embedded and robotic machines
• Creating prototypes and procedures to build machines
• Performing research in several fields of robotics

Conclusion

The aforementioned job opportunities can be availed after having completed AI certification courses. Modern businesses and multinational companies apply advanced methods and tools to achieve improved operational approaches and increase production. As a result of this implementation, progress, and development can be witnessed in different aspects of life. This is why, jobseekers, AI aspirants, and mid-career professionals are intrigued by the prospect and application of AI and want to contribute to the betterment of society all the while improving their career paths. The sole purpose of this article has been to educate the masses on several AI-related job opportunities that can avail to have a safe and secure future.