Analytics track
Dashboards, KPI analysis, forecasting, customer/retail analytics and business insights.
InternshipTurn classroom learning
Turn classroom learning
into practical experience.
The final month of each DataverseAI program is structured around internship-style project work, deliverables and evaluation, following practical industry workflows.
Industry-led learning throughout the programTraining sessions are conducted by working professionals and aligned with practical industry expectations.
The 3-step journey
Learn → Build → Apply
The internship component is designed to help students experience the rhythm of a practical project.
01 • ORIENTATION
Understand the brief
Students receive a project/use-case context, expected deliverables and working guidelines.
02 • EXECUTION
Build the solution
Students work through data, code, analysis or AI application tasks with guidance.
03 • REVIEW
Present & complete
Final deliverables are reviewed and eligible participants receive the DataverseAI internship certificate.
What students build
Portfolio-ready project stories.
Projects can be selected around analytics, dashboards, forecasting, automation, GenAI applications and other relevant use cases.
GenAI track
Document Q&A, RAG concepts, prompt workflows, AI assistants and practical LLM applications.
Professional presentation
Students learn to explain the problem, approach, result and business value of their work.