AI engineering for enterprise · Building since 20164 products · run on our own ops · 30+ enterprise clients
Vidya · Banao product

Learning paths built around the job, not the syllabus

Vidya turns a role — AI Engineer, Full-Stack Developer, Data Engineer — into a sequenced path of projects, mentorship, and a competency screen that proves the skill was actually acquired, not just watched.

Built for teams that need people to be capable on Monday, not certified on paper: structured tracks, real project work, and a final screen on the same engine Banao uses to hire.

Banao — trains and re-skills its own ~300-engineer bench on Vidya before any client cohort runs.

What Vidya runs

Each part replaces a step where conventional training leaks — generic content, no proof of skill, no line to a real role. Every path ends in an auditable competency result, not a completion badge.

01

Job-aligned learning paths

Tracks sequenced to a real role and its required skills — not a catalogue of disconnected courses. A learner moves through exactly what the job demands, in the order it demands it.

02

Project-based assessment

Skills are proven on real project work, graded on output, so a finished path means a person can do the work — not that they sat through the videos.

03

Mentorship & review

Working engineers review project work and unblock learners, the layer self-serve course libraries never provide and the reason completion rates collapse without it.

04

Competency screen on completion

Every path closes with a structured screen on the same engine Banao hires on, so a certificate carries evidence a recruiter can trust instead of a logo.

05

Personalised recommendation

Paths adapt to where a learner already is, so senior people skip what they know and juniors get the prerequisites first — time goes to the gap, not the whole catalogue.

06

Cohort & progress reporting

Skill-level progress across a cohort, pushed to whoever owns the outcome — an L&D lead, a department head, a placement office — so training is measured, not assumed.

Where it earns its keep
Banao (internal)

A 300-engineer company that re-skills its own bench on it first

··%
of bench re-skilled through Vidya paths
··days
median time-to-productive on a new stack
··×
more engineers cross-skilled per quarter

Banao does not pilot Vidya — it runs on it. When a project needs a stack the bench is light on, the path that closes the gap is a Vidya path, screened on the same engine that hires. The training that reaches your teams has already been tuned against the cost of an engineer who finished a course and still could not ship.

Corporate upskilling (anonymised)

Whole teams moved onto new capabilities, with proof at the end

··%
path completion vs self-serve baseline
··%
of learners clearing the competency screen

For an organisation standing up an AI or data capability, Vidya runs the path from current skill to a screened, demonstrable one — so an L&D budget produces capability that can be checked, not seat-time that cannot.

Metrics shown dotted (··) are being finalised in our case-study metrics pack. The cohorts and deployments are live; we will not publish a number before it is verified.

We use it on ourselves

We re-skill our own engineers on it before we sell it

Banao runs a ~300-person engineering company, and when a project needs a capability the bench is short on, we build the path on Vidya and screen the result before we put that engineer on the work. We are our own hardest cohort — when a path teaches the wrong thing or skips a prerequisite, we feel it in a delivery slip.

Most learning platforms have never had to make their own people billable on the skill they just taught. We do it every quarter. The path that reaches your teams has already been corrected against an engineer who finished it and still was not ready.

Vidya

Builds and screens the capability before an engineer joins billable work.

InterviewGod

Provides the same competency screen that closes every Vidya path.

Honest disqualifiers

When a structured path is the wrong tool

A path is for acquiring a defined capability. We will tell you where it does not belong:

Open-ended exploration

someone browsing to find what interests them is better served by a broad library. A sequenced path assumes a known destination.

A single person, one-off

re-skilling one individual on a common stack rarely justifies a configured cohort — a focused public course can be the right call, and we will say so.

Tacit knowledge that lives in your walls

capabilities that exist only inside your own systems are learned on the job, not in a path. We scope that line honestly before you commit a cohort.

How a rollout starts — prove it on one cohort

You do not commit a whole L&D programme on day one. We start with one role and one small cohort, and show you the competency result against the bar you actually hire to.

01

Capability Pilot Sprint

2 weeks · fixed price

We map one target role to a path, run a small cohort, and show you the competency screen results against your own hiring bar before you scale. Yours to judge either way.

02

Configure & sequence

Paths tuned to your roles and stacks, mentorship cadence set, and progress reporting wired to whoever owns the outcome.

03

Run at scale

Roll out across teams or cohorts with ongoing path tuning. The screen keeps the path honest — what learners cannot clear is what the path gets fixed on.

Frequently asked questions

The questions buyers ask first.

How is this different from Udemy or Coursera?
Those are libraries — you pick from thousands of courses and hope the order is right. Vidya is a path: sequenced to a role, project-graded, mentor-reviewed, and closed with a competency screen on the same engine Banao hires on. The difference is proof at the end, not a catalogue at the start.
Does a completed path actually prove someone can do the job?
That is the point of the closing screen. A path ends in a structured competency assessment on the InterviewGod engine, graded on real output — so completion carries evidence a hiring manager can trust, not a badge.
Can it be tuned to our own roles and stack?
Yes. Paths are sequenced to the roles and stacks you actually need, and the Capability Pilot Sprint exists to tune one against your hiring bar before you scale a cohort.
How do we know it works before committing budget?
The Pilot Sprint runs one small cohort and shows you the competency results against your own bar. You see whether the path produces capable people before you fund the programme.
Who owns the reporting?
Skill-level progress is pushed to whoever owns the outcome — an L&D lead, a department head, a placement office. Training becomes a measured line, not an assumed one.
Put it to the test

Put it up against your own hiring bar

Pick one role you keep struggling to hire or re-skill for. In 30 minutes we'll show you the path that closes the gap and the screen that proves it closed.

Book a 30-min call