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AI & ML for Everyone: Ideas से Implementation तक
1 students

AI & ML for Everyone: Ideas से Implementation तक

बिना कोडिंग के सीखिए व्यावहारिक AI और ML की समझ। Build career-ready skills with no-code AI & ML for every stream.
Created byDr. Honey Durgaprasad Tiwari
Last updated 7/2025
Hindi
EnglishHindi

What you'll learn

  • Define key AI/ML concepts and differentiate them with examples.
  • Construct a basic ML model using visual or no-code platforms.
  • Interpret outputs of AI/ML tools and evaluate their relevance.
  • Develop a prototype solution for a chosen domain using AI/ML.
  • Reflect on ethical implications of AI in personal or social contexts.

Course content

2 sections • 7 lectures • 2h 6m total length

  • Course Description, Objectives, Outcomes, Intended learners, Prerequistits5:20

Requirements

  • No prior experience in AI, programming, or writing is required.

Description

NOTE: This is a bilingual course.

  • All slides, activities, and worksheets are in English, while video explanations are narrated in Hindi for better understanding.

  • इस कोर्स में वीडियो हिंदी में समझाई गई हैं, लेकिन सभी content, tools और worksheets अंग्रेज़ी में दिए गए हैं।

Course Overview

Learn AI and ML through a structured, no-code, hands-on approach. Designed for students from engineering, commerce, science, humanities, and management. No coding or programming knowledge required. Course content is in English, explained clearly in Hindi.

What You Will Learn

  • Core concepts of AI, ML, and Data Science

  • Types of machine learning: supervised, unsupervised, reinforcement

  • Using no-code tools to build and test ML models

  • AI applications in education, health, law, business, and arts

  • Understanding data, accuracy, bias, and ethics in AI

  • Building a domain-based capstone project

Tools You Will Use

  • Teachable Machine, ML for Kids, Peltarion, Weka

  • RunwayML, Copy .ai, Notion, Canva

  • Google Forms, Docs, Sheets, GitHub Pages

  • Zapier, Motion, Lucidchart, Turnitin Draft Coach

Course Features

  • 90 short lectures across 10 units (More than 30 hours)

  • Every lecture includes English slides + Hindi narration

  • No-code tools only—easy for non-programmers

  • Each unit ends with a hands-on task + reflection

  • Capstone project to apply learning in your own field

  • All activities explained with real-life examples

  • Hindi-English PDF worksheets for every lecture

Who Should Enroll

  • Undergraduate students from all streams

  • Teachers, NGO workers, and civil service aspirants

  • Freelancers, job seekers, and startup founders

  • Anyone curious about AI with no technical background

Course Outcomes

  • Build and test AI/ML models without writing code

  • Understand and apply AI in your subject/domain

  • Use top AI tools for real-world projects

  • Reflect on the ethical and social impact of AI

  • Create a career-ready project portfolio

Who this course is for:

  • Undergraduate students: From all faculties, including Engineering, Management, Humanities, Sciences, Law, and Pharmacy, who want to understand the concepts of Artificail Intelligence and Machine Learning.

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