About the program

Artificial Intelligence and Data Science AI DS Internship provides students with handson exposure to realworld datasets, industrystandard tools, and modern AI technologies. During the internship, students work on practical tasks such as data collection, data preprocessing, exploratory data analysis, model building, and performance evaluation. The internship helps interns understand core concepts like Machine Learning, Deep Learning, Data Visualization, Cloud Computing, and deployment of AI models. Students gain awareness of industry workflows, version control systems, and collaborative development practices. The program improves problemsolving skills, analytical thinking, and technical competency by allowing students to build projects in domains such as healthcare, finance, IoT, agriculture, cybersecurity, and automation. At the end of the internship, students are able to design endtoend AI pipelines, interpret model outcomes, and apply datadriven decisionmaking methodologies required in modern technological environments.

Perks

Hands-on Project Experience: Opportunity to work on real-time AI, ML, and Data Science projects with industry datasets. Skill Development: Gain practical skills in Python, Machine Learning algorithms, Data Visualization, SQL, and Cloud tools. Mentorship & Guidance: Learn directly from industry experts and mentors throughout the internship. Certification: Receive an industry-recognized internship certificate approved by AICTE. Industry Exposure: Experience real development workflows, APIs, version control (Git), and deployment methods. Career Enhancement: Boost resume value and improve chances of placements in AI, Data Science, Cloud, and Analytics roles. Access to Learning Resources: Free access to tutorials, workshops, webinars, and training materials. Networking Opportunities: Interact with professionals, project leads, and peers across multiple domains. Flexible Work Environment: Option for remote/hybrid working depending on the organisation. Opportunity to Publish/Present Work: Chance to showcase project outcomes in internal reviews, hackathons, or conferences.

Who can apply?

Only those candidates can apply who:

1. are from Any
2. and specialisation from Any
3. are available for duration of 02 Months
4. have relevant skills and interests

Terms of Engagement

Internship duration: 6–12 weeks as per AICTE norms. Mode: Online/Offline/Hybrid based on organization requirements. Interns must work on AI/ML, Data Analysis, and Python-based projects. Submit weekly progress reports to the mentor. Follow all company policies, coding standards, and data privacy rules. Maintain professional ethics, punctuality, and active participation. Completion certificate will be issued based on performance and project submission.

Number of openings

3