Mentorship track

Build practical capability in ai & data.

Develop practical foundations in Python, data, analytics, machine learning and generative-AI application engineering.

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Students learning together
Mentorship track

Core Modules

Python foundations

SQL and data modeling

Data cleaning and transformation

Analytics and visualization

Machine-learning fundamentals

Generative AI application patterns

Prompt and context design

RAG fundamentals

AI agents and tool use

Evaluation and responsible AI

Who Its For

Students with basic programming knowledge

Developers moving toward AI/data roles

Analysts building stronger engineering skills

Shared Professional Skills

Communication

Planning

Review and feedback

Documentation

Problem solving

Ownership

Responsible AI use

Project Examples

Analytics dashboard

Prediction/classification prototype

Document knowledge assistant

RAG application

Task-oriented AI agent

Evidence Of Progress

Data-quality reasoning

Reproducible analysis

Evaluation quality

Code structure

Model/application reasoning

Responsible-data handling