Artificial Intelligence (AI) and Machine Learning (ML) are two closely related fields that focus on creating intelligent systems capable of performing tasks that typically require human intelligence. AI refers to the broader concept of developing machines or systems that can simulate human intelligence, while ML is a subset of AI that involves algorithms and statistical models to enable machines to learn and improve from data without being explicitly programmed.
The employment prospects in AI and ML are highly promising, as organizations across industries are embracing these technologies to gain a competitive edge. Here are some potential employment prospects:
- AI Engineer: AI engineers design, develop, and deploy AI systems. They work on tasks such as algorithm development, model training, and system integration. They need expertise in programming languages, AI frameworks, and data preprocessing.
- Machine Learning Engineer: ML engineers focus on developing and implementing ML algorithms and models. They work on tasks such as data preprocessing, feature engineering, model training, and model evaluation. They require strong knowledge of ML algorithms, statistics, and programming.
- Data Scientist: Data scientists work on extracting insights and patterns from large datasets. They apply statistical techniques, develop ML models, and conduct data analysis. They need skills in data manipulation, statistical analysis, ML algorithms, and data visualization.
- Research Scientist: Research scientists contribute to advancing the field of AI and ML by developing new algorithms, models, and techniques. They work on cutting-edge research projects, publish papers, and collaborate with academic and industry partners.
- AI Consultant: AI consultants assist organizations in adopting and implementing AI solutions. They assess business needs, design AI strategies, and provide guidance on technology selection and implementation.
- AI Ethicist: With the increasing concerns around ethical implications of AI, AI ethicists ensure that AI systems are developed and deployed in an ethical and responsible manner. They address issues such as bias, fairness, transparency, and privacy.
| 3 Years Diploma |
30 Seats |
At least 35% aggregate in 10th / Matric. |
| Lateral Entry to 3rd Semester |
12 Seats |
12th Pass in Science (with Math) OR 10th + (2 years ITI) OR 12th Science with Vocational / Technical. |
