Participants will have the opportunity to work with modern AI technologies and workflows while contributing to industry-oriented projects and solving practical business challenges.
Gaining hands-on experience in areas such as Agentic AI systems, predictive modeling and machine learning, and AI-driven solutions for practical business use cases.

Students majoring in Computer Science, Computer Engineering, Artificial Intelligence, Data Science, or equivalent fields
Undergraduate students who have completed at least 6 semesters
Familiar with SQL and/or NoSQL databases
Have worked on at least one project related to Machine Learning or AI
Familiar with Python and common AI/ML libraries and tools (e.g., Scikit-learn, Pandas, NumPy, TensorFlow, PyTorch, or similar)
Exposure to Generative AI tools, APIs, or frameworks (e.g., OpenAI APIs, LangChain, LlamaIndex, Hugging Face, or similar) is a plus

Work on real AI projects and gain hands-on experience with technologies such as Agentic AI, RAG systems, and machine learning.
Research, design, and prototype AI solutions that address real-world business and fintech challenges, turning ideas into practical applications.
Earn a Certificate of Completion upon successfully completing the internship and presenting your work to the evaluation committee.

Sarmad

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