How to Get AI Jobs With No Experience

Have you ever thought about how to get Artificial Intelligence (AI) jobs with no experience? A career in AI is rewarding and full of challenges. Yet, as it’s the case with other fields, getting jobs in AI with no prior experience can be difficult.

This article provides information on the skills required to secure these jobs and the steps that aspirants can take to increase their chances.

There are numerous career opportunities in both traditional and generative AI. Traditional AI recognizes patterns from available data. Product recommendations on Amazon Prime or web series recommendations on Netflix are all examples of traditional AI.

Generative AI creates new and original content such as text, photos, graphics, and videos. Large language models like ChatGPT4, ChatGPT4O, and Dall-E are the products of Generative AI.

Career aspirants who wish to have an in-depth understanding of Gen AI can enroll in an Applied Gen AI course offered by Interview Kickstart that not only provides a conceptual understanding of Generative AI but also guides them to build and train applications with large language models (LLMs).

Once the candidates have gained enough experience in the Gen AI domain, they can enroll in an Advanced Gen AI course to further enhance their skills.

How to Get AI Jobs With No Experience: Skills Required

AI offers numerous opportunities in various associated fields. If you like to derive useful insights from data, a career in data science or data analytics is the right fit for you.

If you like the idea of making machines imitate human intelligence, machine learning is the career you can proceed with. Or if setting up the entire infrastructure of an organization around data excites you, data engineering is ideal for you.

Before candidates can get AI jobs with no experience, they need to first acquire some basic skills:

Get a Bachelor’s Degree In Relevant Field: Prerequisite for a job in AI is a high-school certificate. However, obtaining a degree in computer science, computer engineering, computer applications, mathematics or statistics can provide the technical foundation necessary to launch a career in AI.‍

Focus on Core Math Skills: Candidates should have a strong knowledge of linear algebra, calculus, and statistics as these math topics are extensively used in machine learning algorithms.‍

Learn At least One Programming Language: Candidates should be proficient in one in-demand programming language like Python, R or Java as well as SQL. These languages have extensive libraries, easy to use syntax, and features that help in data analysis and data visualization. ‍

Read Books on AI: Reading books related to AI can provide candidates with an in-depth understanding of AI concepts, theories, and methodologies. ‍

How to Get AI Jobs With No Prior Experience: Steps to Follow‍

Here are some steps candidates can take to increase their chances to get AI Jobs With No Experience:

Online Courses and Certifications:‍

Candidates can pursue any of the various online courses and certifications available in artificial intelligence and machine learning. Platforms like Interview Kickstart offer courses that can help you build a strong foundation in AI.
Self-learning is important, but to get AI jobs with no experience, professional guidance is equally beneficial to learn skills effectively.

Hands-On Projects:

Candidates can work on hands-on AI projects to enhance their skills and gain real-time experience. They can build AI models, work on open-source projects, or create AI-related apps.

Networking With Professionals:

AI career aspirants can connect with professionals by attending meetups, conferences, and webinars. Connecting with experienced individuals can help them gain valuable insights about current job opportunities.

Internships and Volunteer Work:

Candidates can apply for internships or volunteer opportunities at companies or research institutions working in AI. This is another medium through which AI career aspirants can gain hands-on experience.

Participate in Bootcamps:

Participating in bootcamps can help AI career aspirants with focused learning and practical experience. Trainings are often led by experienced instructors and focus on specialized domains like data engineering, MLOps engineering, machine learning, etc.

Stay Updated:

Candidates can keep themselves updated with the latest trends, research, and developments in the field of artificial intelligence. This will demonstrate their passion and commitment to prospective employers.

Build a Targeted Resume and Start to Apply for Jobs:

Once the candidates have gained enough hands-on experience by working on live projects, attending bootcamps and doing volunteer work, they can build a targeted resume that showcases their skills and experience.
They can also enroll in tech interview prep courses to work on their interview skills. Once everything has been sorted, they can start applying for jobs.

You may also watch this video on some secrets to build a career in AI

How to Get AI Jobs With No Prior Experience: Salaries to Expect‍

Here are the salaries one can expect at entry-level and with experience in various AI roles

‍Source: Glassdoor, Talent.com
Persistence, patience and hard work are keys one can work upon to get an AI job with no prior experience. So, stay focused and work towards your objective.‍

FAQs: How to Get AI Jobs With No Experience

What is the salary in AI for beginners?
Entry-level positions for AI professionals in the USA start at an average salary of $115,113 per annum. As the demand for skilled AI professionals continues to grow, candidates can expect significant increases in their salaries once they gain a few years of experience in AI-related domains.   

Is AI easy to learn?
Contrary to general belief, AI is not hard to learn. However, one needs to have a good understanding of math concepts like calculus, statistics and algebra. In addition, expertise in one programming language including Python, R or Java as well as SQL is essential.

Can I learn AI at home?
It may take several months to one year of dedicated study to learn AI at home as one needs to learn Python, mathematics, and various machine learning algorithms through self-study.

Which job is the best in AI?
Of all the jobs in AI, machine learning is considered to be the most challenging yet rewarding. A machine learning engineer leverages skills in programming, machine learning, and deep learning to analyze vast amounts of information to turn data into scalable solutions.

‍Related Articles:

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• ‍AI Jobs Salary Guide: How Much Can You Earn in Various AI Roles?
• ‍Top 7 AI jobs to consider in 2024
• ‍Understanding the Different Roles in AI Jobs