By Understanding the Difference Between AI and Machine Learning
Many people try to differentiate between AI and machine learning but lack a complete understanding. AI acts as an umbrella under which machine learning (ML), deep learning, and data engineering are all included. Each of these sectors is a part of artificial intelligence.
Careers in AI for Non-Computer Science Graduates
Let’s discuss which roles in the AI sector can be done by individuals without a computer science background (non-CSE) and how they can build a successful career. Generally, a non-CSE student can work in this field, although those who have studied computer science might find it easier due to foundational knowledge.
I’ve seen people from diverse educational backgrounds succeed in fields like web development, design, app development, data analysis, and more. However, it’s rare to see non-CSE individuals achieving significant success in machine learning or AI, though there are exceptions.
Skills for AI and Web Development Sectors and How Much Difficult to Learn AI Compere to Web Development
Skills for Web Development Sectors :
For example, in web development, a non-IT person might first learn HTML and CSS, which are not complex programming languages.
Within about a month, they can design a basic web page, though further languages like JavaScript and PHP are necessary for responsiveness. Knowledge of frameworks like WordPress, React, or Laravel will also expand work opportunities, allowing them to prove themselves as skilled web developers.
For AI roles, individuals need to understand machine learning, which requires programming skills. Starting with Python or R is ideal since Python’s syntax resembles English.
After learning Python, it’s essential to understand basic mathematics, including statistics, algebra, calculus, probability, and database management.
Knowledge of data structures and algorithms is also highly recommended. Python’s built-in libraries and packages, such as Pandas, Numpy, scikit-learn, and TensorFlow, make data science and machine learning tasks easier.
Beyond these basics, understanding CNN, NLP, and ANN is essential for various projects.
Challenges for Non-CSE Individuals in AI
Staying updated with new technologies and skills is crucial, which can be challenging for those without a foundational knowledge of computer science. While success is possible, it requires additional time and effort due to a lack of core knowledge.
