About the program

This internship in Artificial Intelligence and Machine Learning provides practical exposure to building intelligent systems and data driven applications. Interns will learn the fundamentals of artificial intelligence and machine learning including supervised learning unsupervised learning and basic model development. The program introduces key concepts such as data preprocessing feature selection and model evaluation. Interns will gain hands on experience using Python and libraries commonly used for machine learning. They will learn how to work with datasets train models and analyze performance to improve accuracy. The internship also covers basic concepts of deep learning and how intelligent systems are used in real world applications such as recommendation systems and prediction models. Through real time projects interns will develop problem solving skills analytical thinking and the ability to design simple intelligent solutions. They will also learn best practices in model development and deployment basics. This internship is suitable for students who want to build a strong foundation in artificial intelligence and machine learning and prepare for roles in AI driven technologies.

Perks

Hands on project experience, Internship completion certificate, Letter of recommendation based on performance, Flexible working hours, Mentorship from industry professionals, Skill development in real time projects, Exposure to industry tools and technologies.

Who can apply?

Only those candidates can apply who:

1. are from Any
2. and specialisation from
3. are available for duration of 2 Months
4. have relevant skills and interests

Terms of Engagement

Internship duration will be fixed as per program guidelines, Interns are expected to complete assigned tasks on time, Maintain professionalism and regular communication with mentors, Follow company policies and guidelines, Performance will be evaluated periodically, Certificate will be provided upon successful completion of internship, No stipend unless specified by the organization.

Number of openings

10