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Uniko Academy
K12 Schools
K12

Introduction to Machine Learning

Pattern, prediction and model thinking made tangible for younger learners.

Duration
7 days
Hours
49 hours (7 hrs/day)
Cohort
25–60 per cohort
Certificate
Verified Uniko Academy certificate · Pro track
AudienceGrades 8–12
Choose your format · Per-student pricing

Available as 3-day, 5-day and 7-day cohorts. Prices shown are per student, after the 25% first-collab discount.

What we cover

The syllabus at a glance.

  • Data patterns
  • Supervised vs unsupervised
  • Training models
  • Prediction logic
Outcomes

What learners ship.

  • Create ML models
  • Analyse patterns
  • Develop predictive thinking
Day-by-day plan · 7-day format

7 days. 7 hours. One capstone.

A structured 49-hour cohort built like a mini-bootcamp — concept studios in the morning, guided labs after lunch, applied practice before close. Switch the format above to reshape the plan instantly.

Daily rhythm

3h studio · 2h lab · 2h apply

Day 01

Foundations & Mindset

Set the context, vocabulary and learning contract for the week.

7 hours

09:00 – 12:00 · 3h

Orientation & Concept Primer

  • Data patterns
  • Supervised vs unsupervised
  • Industry case study walkthrough
13:00 – 15:00 · 2h

Guided Lab

  • Training models
  • Prediction logic
15:15 – 17:15 · 2h

Apply & Reflect

  • Data patterns
  • Supervised vs unsupervised
Day 02

Core Concepts Deep-Dive

Anchor the central frameworks the rest of the cohort builds on.

7 hours

09:00 – 12:00 · 3h

Concept Studio

  • Supervised vs unsupervised
  • Training models
  • Live Q&A with a practitioner mentor
13:00 – 15:00 · 2h

Guided Lab

  • Prediction logic
  • Data patterns
15:15 – 17:15 · 2h

Apply & Reflect

  • Supervised vs unsupervised
  • Training models
Day 03

Tools, Environment & Workflow

Get hands-on with the stack — set up, explore and debug live.

7 hours

09:00 – 12:00 · 3h

Concept Studio

  • Training models
  • Prediction logic
  • Peer review and feedback circle
13:00 – 15:00 · 2h

Guided Lab

  • Data patterns
  • Supervised vs unsupervised
15:15 – 17:15 · 2h

Apply & Reflect

  • Training models
  • Prediction logic
Day 04

Applied Build — Part I

Translate concepts into a working artefact, guided by a mentor.

7 hours

09:00 – 12:00 · 3h

Concept Studio

  • Prediction logic
  • Data patterns
  • Reflection journal & next-step planning
13:00 – 15:00 · 2h

Guided Lab

  • Supervised vs unsupervised
  • Training models
15:15 – 17:15 · 2h

Apply & Reflect

  • Prediction logic
  • Data patterns
Day 05

Applied Build — Part II

Extend the artefact with real constraints, edge cases and feedback.

7 hours

09:00 – 12:00 · 3h

Concept Studio

  • Data patterns
  • Supervised vs unsupervised
  • Recap quiz and concept reinforcement
13:00 – 15:00 · 2h

Guided Lab

  • Training models
  • Prediction logic
15:15 – 17:15 · 2h

Apply & Reflect

  • Data patterns
  • Supervised vs unsupervised
Day 06

Capstone Integration

Plug everything into the capstone — review, refactor and harden.

7 hours

09:00 – 12:00 · 3h

Concept Studio

  • Supervised vs unsupervised
  • Training models
  • Office-hours debugging clinic
13:00 – 15:00 · 2h

Guided Lab

  • Prediction logic
  • Data patterns
15:15 – 17:15 · 2h

Capstone Sprint

  • Develop predictive thinking
  • Create ML models
Day 07

Showcase & Assessment

Demo to a panel, defend decisions and earn the certificate.

7 hours

09:00 – 12:00 · 3h

Final Build Polish

  • Training models
  • Prediction logic
  • 1:1 progress check-in
13:00 – 15:00 · 2h

Mock Showcase Run

  • Data patterns
  • Supervised vs unsupervised
15:15 – 17:15 · 2h

Live Capstone Demo & Panel Feedback

  • Create ML models
  • Analyse patterns
Capstone project

Introduction to Machine Learning Capstone.

Over the final two days, every learner builds and presents an end-to-end introduction to machine learning project. The capstone is designed for school learners to translate the week's concepts — Data patterns, Supervised vs unsupervised, Training models — into a portfolio-grade artefact that can be defended in front of a practitioner panel.

Deliverables
  • A working project shipped on the recommended stack
  • A 3-page case study covering problem, approach, decisions and learnings
  • A 5-minute live demo with Q&A in front of a Uniko mentor panel
  • A peer-review report and a self-assessment scorecard
Evaluation rubric
  • ★Depth of concept application (40%)
  • ★Quality of build and craft (25%)
  • ★Communication and demo clarity (20%)
  • ★Reflection, peer review and iteration (15%)
Limited · First collaboration

Flat 25% off your first cohort — from ₹1,500/student.

Bringing Uniko to your school, college or team for the first time? Your first cohort runs at a flat 25% off — from just ₹1,500/student (+18% GST), auto-applied to your proposal. Auto-applied to your proposal — no code needed.

Claim your 25% partner offer→
Frequently asked

Your questions, answered.

Couldn't find what you're looking for? Drop a note below — our team replies within one business day.

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Uniko K12 inquiry

Request "Introduction to Machine Learning" — 25% off first cohort

Tell us about your team or institution and we'll come back with a tailored 7-day cohort plan (49 hours), pricing and the 25% first-collab discount applied.

Program: ml-for-kids