Is Shradha Khapra good for beginners?

Yes — she excels at school-level simplification with dry runs and Hinglish explanations.

How much does Sigma Prime cost in 2026?

Paid batches typically range ₹5,000–₹9,000. Many foundational lectures remain free on YouTube.

Java or C++ in Apna College courses?

Both are offered. Java + DSA is most popular for placements.

2026 Updated Guide · Apna College

India's best coding
teacher for beginners

Shradha Khapra — "Microsoft Wali Didi" — left a ₹43 LPA Microsoft job to teach millions of Indian students DSA, full-stack dev, and land placements at Google, Amazon & Goldman Sachs. Here's everything you need to know.

Explore Courses See Placement Roadmap

Shradha Khapra · Co-founder, Apna College

7M+

YouTube Subscribers

₹43L

Microsoft Package Quit

300+

DSA Problems Solved

8.5mo

Sigma Prime Duration

Biography

From a Haryana village
to Microsoft — and beyond

Born on August 1, 2000 in Nathupur, Sonipat district, Haryana — Shradha became the first engineer from her village. With limited local schooling, she moved to Delhi, where her extraordinary academic drive took over.

Perfect CGPA — Class 10

Jain Bharati Mrigavati Vidyalaya, Delhi. A flawless 10/10 CGPA set the tone.

94.4% — Class 12

Consistent performance despite being the first in her family on this path.

B.Tech at NSIT, Delhi — 8.8 CGPA

Computer Engineering, 2017–2021. Interned at Microsoft, trained at DRDO, selected for Google's SPS program.

Microsoft Hyderabad — July 2021

Full-time Software Engineer at ₹43 LPA. Made the bold call to quit just months in.

Apna College Co-founder — Late 2021

Partnered with Aman Dhattarwal (school & college acquaintance, married July 2023) to build India's largest free tech education platform.

"From a village with no coding exposure to building a platform that serves millions — Shradha's story is proof that the right guidance changes everything."

— Editorial perspective

Shradha Khapra

🎓 "Microsoft Wali Didi" · Apna College Co-founder

📍

From Nathupur, Sonipat, Haryana

🎂

Born August 1, 2000 · Age 25 in 2026

🎓

Education B.Tech Computer Engg · NSIT Delhi · 8.8 CGPA

💼

Ex-Employer Microsoft Hyderabad · SWE · ₹43 LPA

🏛️

Apna College Co-founder with Aman Dhattarwal (married 2023)

📺

YouTube 7M+ subscribers · Free DSA + Web Dev content

Topics Covered

Java DSA C++ DSA MERN Stack System Design AI/ML Basics Docker Aptitude Mock Interviews

Teaching Style

Why millions choose
Shradha Didi

Her pedagogy is purpose-built for absolute beginners from Tier-2/3 cities. These aren't marketing words — they're methodical decisions that set her apart from every other coding channel.

🖊️

Dry Run Mastery

She manually traces code on a whiteboard before touching the IDE. This builds rock-solid logic — students understand the why, not just the what. Crucial for tough Amazon / Google interview rounds.

🗣️

Hinglish Accessibility

Natural Hindi + English blend breaks language barriers. Non-English-medium and rural students can follow without the added cognitive load of processing a foreign language.

🎨

Visual & Patient Explanations

High-quality animations, diagrams, and repeated coverage from multiple angles. She never rushes. Complex topics are revisited until the class is genuinely ready to move on.

🎯

Placement-First Design

Every lecture ties to real interview questions from Amazon, Google, Goldman Sachs, Oracle. The curriculum isn't academic — it's designed to get you hired.

🧱

Fundamentals Before Frameworks

She ensures learners grasp core logic before jumping to React hooks or Express routes. A developer-tested approach that pays dividends when debugging real production code.

👥

Community Momentum

Thousands of "Alphaits" credit her encouraging style and doubt-resolution system for staying consistent. Motivation alone doesn't work — structure does.

2026 Course Catalog

Which batch is
right for you?

Two flagship paths — one for complete end-to-end placement prep, one purely for DSA depth. Both are significantly cheaper than physical bootcamps, with most foundational content free on YouTube.

🔥 Flagship · Most Popular

Sigma Prime / Sigma 11

Complete Placement Batch — Full Stack + DSA + AI/ML

Duration ~8.5 months

Schedule Alternate days, 1.5–2 hrs

Stack Java or C++ · MERN

Full-Stack MERN (MongoDB, Express, React, Node.js) — ~4.5 months. Real clones: Airbnb, Zerodha, Spotify, LinkedIn, ChatGPT-style app with OpenAI API.
Java/C++ DSA — Arrays to Advanced: Recursion, Backtracking, Graphs, DP, Segment Trees. 300+ solved problems.
Aptitude + Quant prep. Core CS notes: OS, DBMS, OOPs, CN.
Resume, Mock Interviews, Placement Prep sessions.
Sigma Prime exclusive: AI/ML module (Python, data preprocessing, GenAI, OpenAI API), DevOps (Docker, Kubernetes, AWS, CI/CD), WebRTC, Socket.io, Cloudinary, MapBox.

₹5,000 – ₹9,000

Check apnacollege.in for early-bird pricing

View Batch →

⚡ DSA Specialist

Alpha Plus 7.0

Pure DSA — Java or C++, Interview-Ready

Duration ~4 months

Problems 300+ interview-level

Lectures 400+ videos

Complete Java or C++ from scratch → advanced DSA mastery.
400+ video lectures covering all major DSA patterns.
"Library" feature: video solutions for previous MAANG interview questions.
Live doubt sessions with FAANG engineers (Plus tier).
Individual TA support for stuck moments.
"Alpha Ready" self-paced option for students continuing from a previous batch.

₹5,000 – ₹9,000

Latest batch started Feb 2026

View Batch →

🆓

Not ready to pay? Start free.

Entire beginner DSA series + full web dev playlists are free on Apna College YouTube. Watch before committing to a paid batch.

2026 Placement Roadmap

The 4-phase path
from zero to placement

Inspired by Shradha's structured approach — this is the exact sequence that students who crack Google, Microsoft, and Goldman Sachs follow. In 2026, the bar includes full-stack + DSA + basic AI awareness.

Month 1

Build Foundations

Choose Java, Python, or C++
Syntax, control flow, I/O
Flowcharts & pseudocode
Build daily coding stamina
Practice on coding platforms

Months 2–4

Deep DSA Dive

Recursion & Backtracking
Linked Lists, Trees, Graphs
Dynamic Programming
Heavy dry run practice
LeetCode-style problems

Months 5–7

Full-Stack Dev

MERN Stack deep dive
Build 3–5 real-world clones
Zerodha / Airbnb projects
Docker, AWS basics, APIs
OpenAI API integration

Month 8+

Placement Finishing

Quant & Aptitude prep
Core CS: OS, DBMS, CN
Resume building
Mock interviews
AI tools familiarity

2026 Insight

Companies increasingly value full-stack + DSA + basic AI awareness. Learning WebRTC or Docker isn't "extra" anymore — it signals you can build scalable, real-time applications and gives a strong edge in system design rounds. Kubernetes familiarity alone can differentiate you at Goldman Sachs and Oracle interviews.

Honest Review

Pros, cons &
who she's for

No teacher is perfect for everyone. Here's the unfiltered truth — including what won't work for you.

Feature	✅ Advantage	⚠️ Reality Check
Pace	Perfect for absolute beginners. Patient and repetitive explanations build confidence.	Can feel slow for experienced coders or competitive programmers needing speed.
Content Quality	High production value. Clear audio, excellent visuals, well-structured notes.	Long batch durations require serious self-discipline to complete end-to-end.
Free Resources	Full YouTube playlists + handwritten notes, cheat sheets, active community.	High competition — thousands follow the same path. Differentiate with extra practice.
Value for Money	Significantly cheaper than physical bootcamps at ₹5,000–₹9,000.	Paid batches still need consistent 200–400 extra LeetCode problems for speed.
Placement Results	Real student placements at Google, Microsoft, Goldman Sachs, Oracle (₹30L+).	Success depends entirely on individual effort — the course alone won't place you.
Target Audience	Ideal for Class 10–12 explorers, freshers, career-switchers, Tier-2/3 backgrounds.	Not designed for people who already know DSA basics at an intermediate level.

🏆

Overall Verdict

Excellent for beginners and "zero to placement" journeys. If you're starting from scratch and want structured, affordable, placement-focused guidance in Hinglish, Shradha Khapra's ecosystem is the best in India in 2026. Advanced users should supplement with platform-specific contest practice and additional system design resources.

FAQ

Common questions
answered

Yes — she's arguably the best option in India for absolute beginners. Her "dry run" method, Hinglish explanations, and school-level entry point make complex logic approachable. Students from zero coding background consistently report the fastest progress with her curriculum versus other channels.

Paid batches typically range ₹5,000–₹9,000 depending on early-bird offers and batch variant. Always check apnacollege.in for current pricing. Most foundational lectures — including the entire beginner DSA series — remain completely free on YouTube.

Both are offered. Java + DSA remains the most popular choice for placements in 2026 — most MAANG/FAANG OAs accept Java, and it's easier to work with for interviews (no manual memory management). The C++ variant in Alpha Plus is ideal if you're targeting competitive programming alongside placements.

The fundamentals are strong enough. However, for top-tier product companies, combine the course with 200–400 extra LeetCode-style problems for speed and variety, plus mock interviews for system design rounds. Many successful students credit Sigma Prime as the foundation and then independently grind LeetCode Medium/Hard for the final push.

Yes — verified certificates are awarded upon completion of paid batches. That said, in tech interviews, your portfolio projects and LeetCode profile carry far more weight than any certificate. Use the certificate as a backup signal, not your primary credential.

Multiple batches launch yearly. Alpha Plus 7.0 Java started February 2026. Sigma Prime batches typically open 2–3 times a year. Check apnacollege.in and the Apna College YouTube channel for announcements — batches fill quickly during early-bird windows.

Sigma 11 is the core complete placement batch (MERN + DSA + Aptitude). Sigma Prime adds everything in Sigma 11 plus a dedicated AI/ML module (Python, data preprocessing, GenAI, OpenAI APIs) and advanced DevOps topics (Docker, Kubernetes, AWS CI/CD, WebRTC). In 2026, Sigma Prime is the recommended option for anyone targeting product companies.

India's best coding teacher for beginners