WINGS for Women

WINGS: Women in Next-Gen Engineering & Systems is a fully sponsored, placement-first career acceleration initiative for 100 high-potential women engineers.

  • Built on a one-year, live curriculum (180 hours) spanning Full Stack Engineering, DSA, AI/ML, and modern deployment systems.
  • Participants execute production-grade projects, continuous interview preparation, and hiring pipeline activation to become role-ready in 12 to 16 weeks.
Format Live Instructor-Led (Fully Sponsored)
Duration 12 Months | 180 Hours
Placement Readiness 12 to 16 Weeks
Cohort Size Top 100 Women Engineers
Apply Now

Key Program Takeaways

Build real engineering capability through a placement-driven, execution-focused model aligned with top technology hiring standards.

Full Stack Engineering

Scalable frontend, backend, and API-driven systems

DSA & Problem Solving

Interview-grade foundations from day one

AI & Applied ML

ML models and intelligent LLM-powered applications

Cloud & Deployment

AWS/GCP workflows with CI/CD and release practices

Placement Execution

Continuous mocks, resume refinement, hiring pipelines

Capstone Portfolio

Production-grade systems demonstrating real capability

List of Modules in this Program

01

Foundation Bootcamp

  • Programming fundamentals in JavaScript/Python.
  • Development environment setup with Git and GitHub workflows.
  • Discipline, coding habits, and structured problem-solving approach.
02

DSA & Problem Solving Core

  • Arrays, strings, hashing, recursion, stacks, and queues.
  • Trees, basic graphs, and repeatable solution patterns.
  • Weekly coding assessments and interview-focused thinking.
03

Full Stack Engineering Foundations

  • HTML, CSS, responsive systems, and advanced JavaScript.
  • React fundamentals and backend APIs with Node.js.
  • SQL/database integration and full application workflow.
04

Production System Build

  • End-to-end full stack integration with authentication flows.
  • Live deployment and hosting of interview-ready systems.
  • Resume Version 1 and GitHub portfolio setup.
05

Advanced Systems & Placement Engine

  • Advanced DSA, architecture thinking, and scalable APIs.
  • Cloud deployment, CI/CD pipelines, and Docker basics.
  • Mock interviews, referrals, specialization, and offer conversion.

Hands-on Roadmap

Weeks 1-4

Foundations & Coding Discipline

  • Daily programming exercises and consistency routines
  • GitHub setup with regular commit discipline
  • Introductory problem-solving tasks and coding habits
Weeks 3-6

DSA & Problem Solving

  • Structured DSA sets across arrays, recursion, and trees
  • Weekly coding assessments and guided review sessions
  • Early interview-style thinking and speed practice
Weeks 5-8

Full Stack Development

  • React frontend applications and UI execution
  • Node.js backend APIs and service integration
  • SQL database models and full workflow implementation
Weeks 7-10

First Live Project

  • Build and deploy a complete full stack system
  • Implement authentication, APIs, and production flows
  • Deliverable: Project 1 live + GitHub + Resume Version 1
Weeks 9-16

Advanced Systems & Interview Prep

  • Timed DSA drills and system design exercises
  • Advanced frontend/backend architecture depth
  • Weekly mock interviews (technical + behavioral)
Weeks 13-24

Product, Placement & Offer Conversion

Parallel execution through cloud deployment, hiring pipelines, and specialization:
  • Product 2 build with cloud deployment and CI/CD
  • Resume iterations, referrals, and company-specific interview prep
  • AI/ML or Advanced Engineering track for stronger offer conversion

Top Companies Hiring WINGS Graduates

Global and Indian technology teams hiring across software engineering, AI/ML, platform, and modern systems roles.

Google Microsoft Amazon Meta NVIDIA OpenAI Flipkart Tata Elxsi Infosys Bosch Siemens Cognizant Deloitte TCS Capgemini

Some of our exceptional outcomes with top companies.

Sai Arya

Sai Arya

₹65 LPA CTC

Nitish

Nitish

₹65 LPA CTC

Manurbhav A

Manurbhav A

₹21 LPA CTC

Aditya T

Aditya T

₹21 LPA CTC

Om Nakrani

Om Nakrani

₹65 LPA CTC

Yuvana T

Yuvana T

₹22 LPA CTC

Pardhiv A

Pardhiv A

₹21 LPA CTC

Phanindra B

Phanindra B

₹19 LPA CTC

Sai Gokul

Sai Gokul

₹65 LPA CTC

Abhigyan N

Abhigyan N

₹65 LPA CTC

Aryan T

Aryan T

₹21 LPA CTC

Devendra A

Devendra A

₹65 LPA CTC

Mahesh Reddy

Mahesh Reddy

₹65 LPA CTC

Prakul K

Prakul K

₹21 LPA CTC

Prashanth Reddy K

Prashanth K

₹65 LPA CTC

Rajeev T

Rajeev T

₹21 LPA CTC

Master Technologies

Core engineering technologies used across full stack development, applied AI, deployment systems, and interview preparation.

JavaScript logoJavaScript
Python logoPython
React logoReact
Node.js logoNode.js
Express logoExpress
SQL logoSQL
Git logoGit
GitHub logoGitHub
Docker logoDocker
AWS
Google Cloud logoGoogle Cloud
Linux logoLinux
Postman logoPostman
CI/CD logoCI/CD
Scikit-learn logoMachine Learning
LLM APIs
Jupyter logoModel Experimentation

Eligibility & Admission

Selection into WINGS identifies high-potential candidates through a multi-stage, placement-first framework.

Who Can Apply Eligibility and baseline readiness criteria
  • Final-year students or recent graduates from engineering disciplines.
  • Women candidates with strong interest in software, AI, and engineering careers.
  • Recommended academic threshold: 60%+ with demonstrated commitment and consistency.
Selection Process Five-stage framework to identify top 100 participants
  1. Eligibility Screening: Academic and profile review for baseline readiness.
  2. Aptitude Assessment: Logical reasoning, quantitative aptitude, and structured thinking.
  3. Technical Assessment: Programming fundamentals and code clarity evaluation.
  4. Commitment Evaluation: Interview/video round to assess discipline and intent.
  5. Final Cohort Selection: Top 100 candidates selected on learning agility, execution, and placement potential.
Learner Assistance Mentoring, interview readiness, and placement support

Live mentor support, guided reviews, and structured hiring pipeline activation throughout the program.

Interview Preparation: Weekly mock interviews, resume refinement, and company-specific prep.

Email: hello@42learn.com

Phone: 080 4736 3406

Disclaimer: Hiring outcomes and compensation vary by candidate profile, market demand, location, and interview performance. Target ranges and timelines are indicative program goals and not guaranteed offers.