Fastest Growing AI Job Skills in 2025 

It’s been half past 2025, and one thing that we noticed was how the job market is bustling with something new every now and then. And we have been seeing students and working professionals aimlessly upskilling and reskilling themselves to stay relevant in this evolving dynamic market space.   

This is when we stumbled upon Coursera’s “Job Skills Report – 2025“, a cumulative data-driven analysis that throws in the latest trending skills in each area of work. This blog is going to give our readers a detailed overview of the AI job skills that will help the global workforce embrace GenAI at an even incredible pace.   

Most In-Demand Trending AI Business Skills 

Job seekers, employees, and students are always on the lookout for AI skills that are fast rising. Below is the list of skills that they can upskill themselves in for building a solid foundation.   

Students	Job seekers	Employees
Machine Learning Operations (MLOps)	GenAI	Artificial neural networks
Artificial Neural Networks	PyTorch (machine learning library)	GenAI
Computer Vision	Computer vision	Reinforcement learning
GenAI	Reinforcement learning	Computer vision
Feature Engineering	Deep learning	Supervised learning

Also read: Top Coursera certifications you can pursue with MUJ’s online PG degrees 

A Deep Dive into the Top AI Skills 

A vast count of 866% increase in the year-over-year course enrollment was found on Coursera. After a microscopic analysis, it turned out that AI and big data ranked 15th as the most essential course for mass recruitment. Taking this into account, we have curated the 8 most game-changing AI skills that individuals need to take an interest in.   

GenAI 

Stuck at a dead end? Suffering from brain rot? On the lookout for new ideas? Enough said. With a carefully crafted prompt, it will seem like the whole world is at your fingertips. Generative AI generates content such as text, images, videos, sounds, code, 3D designs, and other media based on the prompt provided to it.    

You might also like: AI in Education – Reimagining Teaching, Learning, and Leadership 

Artificial Neural Networks 

Inspired by the function of the brain, ANN or artificial neural networks is a collection of several computational models that help in recognizing any unread patterns and come up with real time intelligent decisions. Its most significant use is in the medical field, where it can be used to diagnose diseases or underlying conditions.   

Computer Vision 

Just like how our eyes help in make sense of the world, computer vision also replicates the same but with more precision. They analyze and pull as much information from the visual images and videos provided to it and interpret with a high rate of accuracy. Tracking of tumors, scanning through MRI scans, and so on are some instances where they are the most reliable.  

PyTorch (Machine Learning Library) 

A combination of the Python programming language and the Torch library, PyTorch is an open-source machine learning library. In today’s world, where everything runs on AI, having solid expertise in this field will help you build powerful AI applications. Rather than running the whole code, this approach is constructive for debuggers to test, tweak, and train the code batch-wise.   

Machine Learning 

A subset of artificial intelligence, machine learning makes sure that machines/computers can perform tasks and predict outcomes without any human hand holding, which in turn paves way to increase performance and accuracy. It gets better with more exposure of data.   

Deep Learning  

Just like the neural network of the human brain, deep learning works on the same mechanism. It is just like when a computer can think, recognize, understand, or even turn sounds into words, just like a human does. Some prime examples can be self-driving cars, voice assistants, and Netflix recommendations based on your previous watch history.   

Read More: Machine learning vs deep learning: Key differences 

Supervised Learning  

Supervised learning is a method in which the computer/machine is provided with both the input and output data, and the machine observes and learns the pattern. Over time, the system gets smart enough and will be able to predict the right outputs without any prior help.    

Reinforcement Learning 

A branch of machine learning, reinforcement learning is a method of getting optimal results by using the trial-and-error model. They interact with an environment, receive feedback from it, and then use it as a form of rewards or penalties. It is seen as the best use of AI as it helps achieve prompt decision-making in unknown environments.   

Conclusion 

Today’s workplace cannot be imagined without AI. And the above-mentioned AI skills are essential for working professionals to be aware of. This can be easily achieved by taking up dedicated courses and slowly upskilling in your career. It will never be a waste of time and money, and the journey will be worth it.   

Several universities and colleges are also providing their students with Coursera access as part of their studies. Similarly, Online Manipal provides its students with free Coursera access to help them be at the forefront of their careers in the future.   

Read More: Fueled by Passion, Powered by Coursera: The Journey of Our Champions 

Looking for an extra credential to add to your resume? Online Manipal, through its universities, boasts several UG, PG, and certification courses for everyone’s cup of tea. Visit us now.