QUICK CAREER SWITCH GUIDE TO ARTIFICIAL INTELLIGENCE IN 2023

QUICK CAREER SWITCH GUIDE TO

ARTIFICIAL INTELLIGENCE IN

2023

© Copyright 2022. United States Artificial Intelligence Institute. All Rights Reserved.

www.usaii.org

“Don’t let making a living prevent you from making a life.” ~John Wooden

It’s no surprise that the field of Artificial Intelligence is rife with career opportunities, spanning industries worldwide. Employees across stages of their careers are challenged by tech upgrades that tend to curb the scope of their future growth. With the pace at which the Artificial Intelligence ecosystem is growing, it is a great decision to switch to a field of your interest. Thinking of building an AI career that is rewarding and fulfilling? It is essential to understand key skill sets and other prerequisites for the industry.

AI experts around the world are forecasting a huge talent gap in the AI industry, which could be large because of misconceptions among the aspirants. The industries that Artificial Intelligence has worked and evolved in are expanding at a faster rate. If you are thinking of a career switch in the artificial intelligence industry in 2023, this could be the opportunity of a lifetime.

AI as a good career option: With such an expansive reach of this insane technology to possibly every sector of the economy, it proves how beneficial and rewarding this line of work is as a career option. AI opportunities are not only restricted to tech companies. Regardless of where you are in your career, there cannot be a better time for you to switch and align your career trajectories with Artificial intelligence. Building a career in AI demands specialized education and an on-the-go upgrade of AI skills as you grow in the industry.

Source: PwC’s Global GDP Growth Forecast

With the above representation by PwC about the Global GDP Growth forecast for the year 2030, it becomes clearer that Artificial Intelligence is here stay, while making a pivotal impact on labor productivity, personalization, and quality of work.

Scope of your work in AI: Tackling a variety of problems relating to computer vision such as detecting parasites in horse stool images to classifying high-end fashion bags in user-uploaded images, fraud detection in ID documents, intrusion detection on security applications, recognizing images, deep learning projects, and much more. The major role of Artificial intelligence professionals involves bringing together the perception streams of sensors, visions, stats, NLP, etc to assist in better decision-making. It also involves prioritizing operations via better consumer personalization.

Ways to get into the AI field:

There would be some who would stumble upon computer vision (a branch of AI) as an undergrad, and would eventually see themselves landing in the field of AI. Some would make their big shift, depending on their experience in the start-up, while using cutting-edge technology. It simply goes on to show that from whichever industry you belonged to in the past, there’s always a way ahead with AI. By getting your hands on some specialized technologies and AI algorithms, you’d be set to make that long-awaited transition in AI. Many people have a different versions of the way to get into the industry. Although, the basics would always remain the same for all. © Copyright 2022. United States Artificial Intelligence Institute. All Rights Reserved.

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7 Quick Tips to Transition to an AI Career: Are you confused about how to start the shift? Here are 7 important transition tips that will come in handy while planning your big shift in the AI industry:

1.

Choose a specific AI career path It is deemed logical for an IT specialist to leverage some of their existing skills while career switching; there are many AI jobs profiles for non-IT professionals as well. Regardless of which industry you decide to get in, your ability to identify and prepare for the particular role will be most critical to your future success.

2.

Understand the basics well Learning what business questions can be answered with AI is probably the key and most underrated skill that you need to acquire.

3.

Strengthen your technical expertise Whether you are an engineer or an AI aspirant, it is imperative that you know to code mathematical models and programming skills for Python, R, Scala, etc.

4. Take advantage of the Best AI certifications & courses Research well and hop on to one of the best AI certifications globally such as MIT, Harvard USAII™, Stanford, Columbia, etc., that would help you strengthen the much-needed skills for the AI industry.

5. Learn on-the-job Learning while working can be one of the most effective approaches and relevant IT certifications can add a lot of value for specializations.

6. Build your soft skills Software and soft skills go hand-in-hand in the world of AI. Learn to communicate, and collaborate more at the workplace.

7.

Keep your learner’s hat on Success in Artificial intelligence is strengthened with an open mind toward continuous learning, beyond qualifications.

The in-demand AI skills and experience put in place allow you an opportunity to earn an average of USD 125,000 a year, making it a future-proof career decision. With Machine learning jobs expected to be worth USD 31 billion by 2024 as per Forbes, this is your opportunity of a lifetime to switch to a flourishing career in AI today!

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