There has been a notable increase in both interest and enrollment in AI courses within the last five years. This could be attributed to the continuous advancement of AI technology and how it is transforming industries. Students and professionals are more than willing to learn new skills and adapt to innovations in this multifaceted AI and related fields. This growing demand is indicative of the fresh prospects that are emerging in the marketplace, as well as the fundamental value of AI in the contemporary technology sector.
What is AI (artificial intelligence) in the current world outline?
AI, in its most basic (and robotic) form, is building machines that can “talk”. However, it also includes training computers to think, learn and solve problems like humans do. Consider a virtual aide who informs you prior to your pantry running out of supplies, or software that screens medical imagery and picks out subsiding signs of human ailments.
As noted above, AI is a branch of computer science that focuses on building machines that can replicate human reasoning capabilities. These AI systems can perform activities such as, but not limited to, independently making decisions, understanding natural languages, solving real-world problems, and much more.
Enrolment in AI-infused university courses witnessed a 453% increase over five years
Currys, a prominent tech retailer in the UK, conducted an AI-related survey that aimed to determine how the evolution of AI technology has affected the UK’s enrolment trends in university AI courses. The primary focus of the study was on the shift between 2018 and 2022, which revealed an astonishing 453% increase in enrolments in AI courses offered in UK universities by the year 2022. The data presented also showed a noticeable increase among women as well.
And this was before the famous launch of ChatGPT, and what followed.
So, if you are one of those who want to tap into the opportunities coming to market because of this revolutionary development, maybe start with tweaking your education plans to include an AI specialization.
Here’s some help to get you started.
Following are some of the most popular AI courses offered:
Undergraduate AI Specializations
B.Tech in Artificial Intelligence:
A comprehensive degree program of 4 years that includes Artificial Intelligence, Machine Learning, Data Analytics, and Programming.
BE in Artificial Intelligence:
A professional aims at the implementation of AI services on engineering systems.
B.Sc in Computer Science with AI:
A course of study for three years that combines basic computer science training with some components of Artificial Intelligence.
BCA with AI Specialization:
A recognized program that offers a degree in Computer Applications while acquainting students with the practical tools of Artificial Intelligence, alongside machine learning.
Postgraduate AI Specializations
M.Tech in Artificial Intelligence:
Takes two years to complete with specialization in automation, robotics, AI models, and advanced deep learning techniques.
M.Sc in Artificial Intelligence:
Ideal for those wishing to pursue advanced research for the intricate level theories of Artificial Intelligence.
MCA with AI Focus:
A master’s degree in computer applications that is designed to develop expertise in AI.
For individuals looking for short-duration skill-based learning, AI online certificate courses and diploma courses are great for foundational understanding.
These programs generally last from a couple of weeks to a few months and focus on crucial elements such as machine learning, Python, and AI frameworks.
The Scope of AI: Career Prospects Following AI
Education in Artificial Intelligence isn’t just a futuristic idea anymore—it’s actively reshaping industries today. There’s a skyrocketing demand for AI talent across various fields like healthcare, finance, retail, and entertainment, which means there are plenty of lucrative and fulfilling job opportunities out there.
If you’ve completed an AI program, whether in India or abroad, here are some exciting career paths you might consider:
AI Developer: Create and implement AI algorithms, tools, and solutions that tackle real-world problems.
Machine Learning Specialist: Design and fine-tune machine learning models that sift through massive datasets to provide valuable insights.
Data Analyst: Analyze large, intricate datasets to identify trends and help guide smart decision-making.
Natural Language Processing (NLP) Expert: Build AI systems that understand and process human language, including chatbots, translation tools, and sentiment analysis.
AI Researcher: Dive into innovative AI methods and contribute to groundbreaking advancements in the field.
Robotics Developer: Combine AI with robotics to develop smart automated machines.
With many AI roles offering compensation packages that often exceed those of traditional jobs, these positions not only promise substantial financial rewards but also opportunities for professional growth. The landscape of AI is vast and ever-expanding!