Source-grounded AI knowledge assistant
Build an AI knowledge assistant with source-grounded answers, evaluation tests, and appropriate failure handling.
Illustrative
VASIVA ACADEMY
Learn by Building.
Prove It by Shipping.
Build a working MVP. Understand every decision behind it.
System · MVP lifecycle
v1.0
01Requirements
02Implementation
03Demonstration
01
Understand
Scope the problem
02
Build
Ship a working MVP
03
Demonstrate
Explain every decision
Pathways
Two ways to learn
Training is fee-based education. Internship is a separate selective experience.
Completing a program does not guarantee employment or placement.
Methodology
From problem to working MVP
Eight stages. One expectation: understand what you build.
Catalog
What you can build in
Practice
Example projects
Illustrative scopes—not placement results or completed student work.
Full-stack application
Build a full-stack application with authentication, database integration, API validation, and automated tests.
Illustrative
CI/CD for containers
Build an automated CI/CD pipeline for deploying a containerized application with monitoring and documented deployment steps.
Illustrative
FAQ
Common questions
Next step
Ready to build something real?
Pick Training or Internship, review a program, then register interest when it opens. No placement guarantees.