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Importance of AI Education in the US/ai-insights/importance-of-ai-education-in-the-us

Importance of AI Education in the US

March 10, 2022

Importance of AI Education in the US

The modern Artificial Intelligence trends are not confined to smart robots or science fiction but have advanced technologies that make them omnipresent in our daily lives. AI is responsible for the revolutionary technologies in the applications like digital assistants, automated cars, online recommendations, etc., and is spread across many more industries.

Since companies look for the real AI talent and scrutinize the applications based on numerous parameters, the aspirants need to upskill themselves with AI education and become industry-ready.

AI is all set to revolutionize the job market with an addition of 12 million jobs globally, paving the way to 97 million new jobs by 2026, while eliminating 85 million jobs, says the World Economic Forum.

Read further to explore the scope of Artificial intelligence jobs in the US and the need for AI certifications to penetrate the job market with confidence.

Emerging AI trends in the US

The present outlook of AI jobs is reliable and promising not only in terms of numbers but also in terms of diversity and complexity. As per the US Bureau of Labor Statistics, the employment rate of Computer Science and IT employment is expected to grow by 11% by 2029.

Besides, the AI industry foresees an addition of 531,200 new jobs, in which AI and Machine learning rank in the second position among the highly-in-demand jobs according to the World Economic Forum.

AI as a career will open up opportunities to various professionals such as researchers, scientists, practitioners, engineers, developers, and many others.

The Artificial Intelligence market size value forecasts predict a jump from USD 29.86 billion in 2020 to USD 299.64 billion in 2026. The CAGR for the entire forecast period is 40.2%. AI has risen to a new phase, where AI education and relevant skill development can bring you amazing career opportunities.

Significance of AI Education in building a career in AI

Artificial Intelligence has a positive career viewpoint, clearly visible in the estimated growth rate of the job opportunities for mathematical science professionals, AI experts, and data scientists, i.e., to hit 31.4% by 2030.

The subfields like computer vision, machine learning, and deep learning segments also witness an increase in demand. The machine learning jobs are anticipated to reach USD 31 billion by 2024, with a growth value of 40%, says Forbes.

AI education helps you gain expertise to work in various fields and utilize life-changing technology. It opens up various career opportunities for you since many applications experience the benefits of AI-driven processes. For instance, AI is a game-changing tool in the medical field to find and diagnose diseases. The transportation segment uses AI in self-driving cars, assembling techniques, and performance tracking systems.

About 90% of leading businesses have made lasting investments in Artificial Intelligence. More than 50% of businesses that have deployed AI-specific technology experience higher productivity.

AI education can let you build the Artificial Intelligence skills to excel in your career and gain industry-ready insights. Since there is a huge goldmine of job opportunities and diversities available, your career in AI offers you assured personal and professional growth.

Best ways to kickstart your AI Education

1. AI Certifications

AI certifications let individuals succeed in their future as AI professionals, and use them as proof to potential employers, where you get considered as subject matter experts in the concerned field. Since AI certifications include digital badges, they give evidence about your skills to program, design, and manage the AI models. AI certifications test your abilities in programming languages, like Python, R, Java, Scala, etc. They also evaluate your expertise in areas like statistical knowledge and linear algebra.

2. Graduate Degrees

These provide basic and advanced skills in the core principles and the technologies that support AI such as logic, probabilistic models, Machine learning, Knowledge representation, etc. Here, you can pursue in-depth topics in the specialized areas, however, the practical know-how can't be assured.

3. Training within organizations and departments

The training is usually designed for the corporates to learn about AI and ML and their subdomains. There are workshops that give you insights about AI and applications in particular functional areas. It can let you unearth the applications of AI, and their use cases, and gain an AI roadmap for the enterprise. However, the training can only give you a short overview and hold over the subject.

4. MOOCs and other online courses

Massive Open Online Courses (MOOCs) gained popularity in recent years. Many learners across the globe have taken quality-specific courses for free. However, the online courses give you only access to limited resources and not to mention that they offer minimal practical exposure required for a successful AI career.

Why do AI Certifications stand out from the crowd?

Unlike the other courses, AI is not a degree you can earn and then you work for the upcoming years in the same flow. Artificial Intelligence education requires you to be an enthusiast and a continuous learner. This means you need to sharpen your skills and keep your skills up to date with Artificial Intelligence certifications for the type of job you wish to go for.

AI certifications help you to build a reputation with the choice of the certification body or the academia and the course you are enrolled in. Be sure to opt for a course that includes guidance, interaction, experienced trainers, and real-time learning opportunities.

Your AI learning curriculum should not be outdated, make sure the Artificial Intelligence certifications offer knowledge about new ecosystems and languages. Choose your program carefully and gain AI certifications with exposure to advanced concepts like Robotics, neural networks, Natural Language Processing, Machine learning, Computer Vision, etc.

Wrap up

If you are tech-savvy, then it would be ideal to dive deep into the AI space with exposure to the right AI certifications. It is not only about learning AI fundamentals, but also about learning to implement them to function across various sectors.