Artificial intelligence and machine learning are being used more and more in contemporary lifestyle applications as they make human lives easier and simpler. The general concept of utilizing machines to mimic intelligent human behavior in order to solve issues is referred to as artificial intelligence. Future productivity will mostly depend on artificial intelligence. Automated procedures that support analysis and prediction are the basis of AI in its entirety.
Research claims that firms are investing heavily in cognitive technology and AI. This illustrates how businesses rely on AI to increase efficiency. AI is one of the technology chains that is expanding the quickest in the globe; thus, it is also thought to be a promising investment for the future. As a result, AI can’t alter the world by replacing humans in various fields, but it can change it by bringing more people into the technical realm. Today, you can see many people achieving an Artificial and AI and ML Certification to gain work-ready skills and step into this promising career field.
Do you aspire to become an artificial intelligence engineer? If yes, you must be looking for the right career path and the perfect way to get started. You must also be worried about the qualifications necessary to establish your career in AI. So, in this article, we have explained what qualifications and skills can help you become eligible for an AI engineer role.
AI Engineer Qualifications
Here are some of the basic qualifications you need to start a career in the artificial intelligence domain.
If you are aspiring to become an AI engineer, then you should at least hold a bachelor’s degree in computer science, information technology, electronics, mathematics, or related fields. A high diploma with a specialization in the scientific discipline before getting a bachelor’s degree is also helpful. Today, graduates study further and complete their Master’s degree in artificial intelligence or data science to build a strong foundation in this field and increase their chances of landing their dream job.
Enroll in a training program
This is another important step you can take to become job-ready for an AI engineer career. Many surveys have pointed out the fact that there is a huge skills gap between the knowledge that college graduates possess and what technology companies seek for their AI positions. This is the reason many online training providers now offer in-depth courses on AI and machine learning. Their syllabus goes beyond what is taught in academic degree courses and focuses more on imparting practical skills that actually make candidates ready for a corporate job. Post the completion of a training program, candidates are also offered a certificate that they can showcase to employers and prove their credibility for an AI position.
Work on industry projects
Working on some industry projects is important to understand what real-world problems you would be solving when working as an AI engineer in any firm. If you have taken an AI engineering course, as mentioned in the previous step, then you needn’t worry about finding an industry project to work on, as many of them involve a Capstone project at the end. When working on Capstone projects, you will get a chance to apply the skills gained during the course lectures. You will be given access to real-world datasets and popular AI tools that you can work on through virtual labs. If you have not taken a course, then you will need to search for open AI projects online and work on them. You can also participate in hackathons and challenges available on different forums and communities like Kaggle.
Seek an AI engineer job
Now is the right time to explore the various job opportunities available in the field of AI. Note that you may not directly get hired as an AI engineer without any work experience. So, try to apply for entry-level jobs in AI, like junior AI researcher, junior data analyst, software developer, and so on. After gaining experience for about a year or two, you can apply for machine learning engineer or AI engineer positions. For beginners, opting for an internship is also a good starting point. For internships, companies do not ask for experience generally and then train you so that you can pursue a full-time job in AI.
Ready to Explore the World of AI?
When it comes to AI, you have a long way to travel. Getting started might be more difficult than you think, but once you are able to grab the right opportunity, then you will see impressive growth. AI engineers are one of the highest-paid professionals, and you too can become a part of the scarce AI talent across the world. Regardless of whether you are from a technical background or not, a training course will impart you with the right skills along with practical exposure.
Now looking for a reliable training provider can be quite overwhelming. So, we would suggest you narrow down your search to platforms like Simplilearn, Coursera, Udacity, and edX. These platforms involve high-quality training courses on AI and machine learning. Some of them even host master’s degree programs in AI from popular universities like UMass Amherst, Caltech CTME, Stanford, and Purdue University. Happy Learning!