Living in the Age of AI/ML
By Gayathri Mohan
Artificial Intelligence (AI) is a broad area of computer science, which aims to design intelligent systems, activities of which can comprise reasoning and learning to act autonomously. Mostly trying to simulate human intelligence within machines.
Machine Learning (ML) is an area in advanced AI in which its application is to allow machines to learn from data without being told explicitly about what to do. Machine Learning algorithms use statistical techniques to find patterns in data and make predictions or decisions based on those patterns.
In simple words, AI is like the human brain that can think and act complexly; meanwhile, ML is like the human learning process of knowledge and skills through experience.
| Artificial Intelligence | Machine Learning | |
|---|---|---|
| Scope | A diverse discipline that incorporates a range of techniques to develop intelligent systems. | A subfield of AI dedicated to extracting knowledge and patterns from data. |
| Goal | To develop intelligent agents capable of performing tasks similar to those done by humans, within lesser time. | To empower machines to learn from data and enhance their performance over time. |
| Techniques | Encompasses machine learning, deep learning, natural language processing, computer vision, robotics, and more. | Incorporates algorithms such as decision trees, support vector machines, neural networks, and others. |
AI/ML : Gaining Popularity as a Field of Study
• Rigorous coursework:
You’ll delve into core concepts like algorithms, data structures, probability, and statistics.
• Hands-on projects:
You’ll gain practical experience by working on real-world projects, building your own AI models, and participating in hackathons.
• Research opportunities: Many programs offer opportunities to conduct research alongside faculty, pushing the boundaries of AI/ML.
• Networking: You’ll connect with other students, professors, and industry professionals, building valuable relationships for your future career.
AI/ML: What’s in Store?
- High Demand, High Pay: The job market is booming for AI/ML professionals. Companies across industries are seeking talent, and salaries are incredibly competitive.
- Real-World Impact: AI/ML is solving critical problems in healthcare, finance, climate change, and more. Students are drawn to the opportunity to make a tangible difference in the world.
- Constant Innovation: The field is constantly evolving, with new breakthroughs happening all the time. It’s an exciting area to study because there’s always something new to learn and explore.
- Interdisciplinary: AI/ML draws on concepts from computer science, mathematics, statistics, and even philosophy. It’s a great fit for students with diverse interests.
If you’re considering a career in AI/ML, now is the perfect time to start your studies. The opportunities are vast, and the future is incredibly bright for this exciting field.
AI/ML Career Paths
- Machine Learning Engineer: Develops and implements machine learning models for various applications.
- Data Scientist: Uses statistical and machine learning techniques to analyse data and extract insights.
- AI Researcher: Conducts research to advance the field of AI, developing new algorithms and models.
- AI Product Manager: Oversees the development and launch of AI-powered products.
- AI Ethics Specialist: Ensures the ethical and responsible development and deployment of AI systems.
- AI Consultant: Provides expert advice to organisations on how to leverage AI to solve their business problems.
| Campus | Programmes Offered for AY 2025-26 |
|---|---|
| Vellore |
|
| Chennai |
|
| AP |
|
| Bhopal |
|
| Bangalore |
|
| Mauritius |
|
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