Certifications Vs. Degrees: What Matters More In AI Job Roles?

Certifications vs. Degrees: What Matters More in AI Job Roles?

When we talk about the requirement for getting a reputed job, what’s the first thing that comes to our mind?? You’re right, people think a degree is all you need for getting a job. But can people get jobs by just having a degree?? No, right!! A lot more is required.

Now that AI has Boosted a lot, many job opportunities are arising. But with jobs arises a question- What qualifications do you need to land an AI job?

Certifications and degrees are both important leaving aspiring AI professionals wondering – which one matters more?

In this blog, we will learn what matters more for AI Job Roles.

If you’re a working professional who wants a salary hike, then look no further than the Be10x AI tools Workshop. Learn AI tools and earn a salary hike!!

What is a Degree??

The first parents ask their children after 12th is – “What degree will you pursue?”. So, What exactly is a degree?? 

Degrees, like Bachelor’s or Master’s degrees, are formal educational programs offered by universities or colleges. They typically take several years (2-6 years) to complete and involve a broad range of coursework.

So, what degrees can you pursue in AI job Roles and what career opportunities do they offer?

  1. Bachelor’s Degree- Typically of 3-4 years. Graduates can pursue entry-level roles in AI development, data analysis, and related fields.
  1. Master’s Degree- Typically of 1 to 2 years after completing a Bachelor’s degree. It Opens doors to leadership positions, research roles, and specialized AI careers. Many research and development roles in academia and industry may require a Master’s degree.
  1. PhD in AI-  Typically of 3 to 5 years after completing a Master’s degree. Positions in academia, research institutions, and leadership roles in industry. PhD holders are often involved in cutting-edge AI research and development.

Advantages and Disadvantages of Pursuing a Degree

Pros of Pursuing a Degree 

  1. Deep Understanding of Theory- A degree in a relevant field like computer science, data science, or artificial intelligence provides an understanding of the principles and algorithms that power AI. This foundational knowledge is important for tackling complex problems and staying ahead.
  1. Research Opportunities- Degrees often open doors to research opportunities, allowing you to work on AI projects and contribute to the field’s advancement. This experience can be highly favoured by employers looking for individuals with research and development expertise.
  1. Overall Development- Degrees often not only provide technical skills, but also help in building critical thinking, problem-solving, and communication skills – all essential for success in any career.

Are you stuck between the choice of degree and certifications?? We can help you get equipped with all the needed skills of AI!! Join the Be10x AI Tools Workshop today!!!

Cons of Pursuing a Degree

  1. Duration of Degree- they typically require a significant time investment (usually 4 years or more for a bachelor’s degree). This can be a problem for those wanting a quicker entry into the workforce.
  1. Cost of Pursuing- The cost of a degree can be significant, and many students may not be comfortable spending huge amounts of money.

What are Certifications??

If we talk in simple terms then imagine your skills as tea without sugar and certifications as sugar. As sugar enhances the taste of tea and gives us satisfaction, similarly certifications enhance your skills and provide proof of your expertise in a particular field.

Advantages and Disadvantages of Doing Certifications

Pros of Doing Certifications

  1. Duration- Certifications are shorter, focused programs (weeks or months) offered by various institutions, including universities, online platforms, and professional organizations.
  1. Focus on Skills- Certifications provide focused learning on in-demand skills, allowing you to quickly upskill or reskill for specific AI job roles.
  1. Cost-Effectiveness: They’re more flexible, and significantly cheaper than degrees, making them a good option for busy professionals or those with budget constraints.

Cons of Doing Certifications

  1. Limited Scope- Certifications focus on specific skills rather than building a broad theoretical foundation. This might limit your career options in the long run.
  1. Varying Credibility- There can be a wide range of quality and recognition of certifications. Choose programs from reputable institutions to ensure their value in the job market.

What to Choose Degree or Certifications

The truth is, there’s no simple answer.  Both certifications and degrees have their strengths and weaknesses, and the ideal path depends on your specific career goals, experience level, and learning style.  

If you already have a degree in a relevant field or even in some other, you can still acquire skills using certifications. If you are someone who currently cannot afford a degree then you can first learn skills of your choice using different credible certifications like Be10x and then opt for a degree.


We have learned about both Degrees and certifications along with their pros and cons. We have also learned that there is no specific answer as to what one needs more for AI job Roles.

It is a perk of certification that even if a person does not have a degree relevant to AI he/she can still learn AI skills using Certifications.

As it is said, “Degrees open doors to advanced roles in AI, but certifications demonstrate a commitment to excellence and continuous improvement in this ever-evolving field.”

Join the Be10x AI tools Workshop today and help yourself in staying ahead in this world of AI.