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Launchpad Program Curriculum

A 30-week journey designed to build future-ready skills in coding, AI, data analysis, design thinking, and entrepreneurship.

Learning Path Illustration

🛠️Pre-requisites

  • Basic mathematics proficiency till Grade 5 (arithmetic, exponents, ratio, fractions)
  • Basic computer operations and internet surfing
  • Laptop or PC with Chrome browser and internet
  • Mobile use not recommended

🗓️Details

Duration:

30 weeks

Mode:

Blended learning

Live Class:

Online once a week

Program Fees:

Rs. 1000/week

Age Group:

10-16 years old

Time Commitment:

2 hours/week

📎Curriculum Outline

The Lernok Launchpad Program is a comprehensive 30-week hybrid learning experience designed for 10-16 year old learners, combining live online classes with offline preparation content. Building upon proven teaching methodologies and first principles thinking, this program integrates computational thinking, AI, coding, data analysis, design thinking, and entrepreneurship to prepare students for the rapidly evolving digital landscape.

Week 1-5 : Math & Computational Logic

Topics Covered

Exercises

  • First Principles Thinking
  • Problem Decomposition
  • Mathematical Patterns
  • Logic & Sequencing
  • Flowcharts
  • Pascal's triangle - number patterns
  • Count squares in a grid
  • Fibonacci series
  • Tower of Hanoi problem
  • Number guessing - binary search
  • Handshake Lemma

Week 6-15 : Coding & Algorithms

Topics Covered

Exercises

  • Variables & Data Types
  • Control Structures
  • Loops & Conditionals
  • Algorithm Design
  • Debugging Basics
  • Data types - Marksheet case
  • Sort alphabetically
  • Social network - graph theory
  • Dijkstra's algorithm
  • Math patterns with recursion
  • Casesar cipher algorithm

Week 16-20 : Data Intelligence

Topics Covered

Exercises

  • Descriptive Statistics
  • Data Collection
  • Data Visualization
  • Analysis
  • Basics of Machine Learning
  • Finding mean, mode, median
  • Data scavenger hunt
  • Create visual charts
  • Spotting trends
  • Classification vs prediction

Week 21-25 : AI Foundations

Topics Covered

Exercises

  • Introduction to AI
  • Training Simple ML Models
  • Prompt Engineering for GenAI
  • Building Apps with AI
  • Ethics in AI
  • Google Teachable Machine
  • How ChatGPT works
  • Build storybook maker app
  • Math flashcards app
  • Portfolio/personal blog with AI

Week 26-30 : Design & Innovation

Topics Covered

Exercises

  • Design Thinking
  • Prototyping
  • User Feedback
  • Storytelling
  • Business Basics
  • Pitching Ideas
  • Project Launch
  • Problem to idea
  • Prototype showcase
  • User interviews & market research
  • Build a pitch deck
  • Final presentations

⚠️This curriculum outline is for illustration purposes only. Detailed lesson plans, schedules, and resources will be shared after enrolling in the course.

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