Training
FULL‑STACKDATADEVOPSQAAI / ML

Practical Training with Job Support.

12 week programs with live classes, hands-on labs, a real project, simple clear explanations, weekly help, interview practice and support for job search. Good for final year students, fresh graduates and career changers.

Overview Tracks Apply

Program Overview

Why our format works

Simple plan. Real build.

You learn by building one project that grows each week. We add code quality, tests, deploy, logs and small design thinking in clear order. We keep language simple. You get weekly feedback and help fixing mistakes fast.

We mix short live calls, focused lab time and quick review steps. This lowers overwhelm and keeps steady progress. Career support starts early (resume + interview drills) so you are ready by demo week.

  • Daily micro goals so you always know next task.
  • Issue tracker template to log bugs and fixes.
  • Weekly skill map so gaps are visible early.
  • Optional extra practice packs (DSA / SQL / Git).
  • Simple project docs pattern (README + arch sketch).
12 Weeks
Total plan
1 Project
Portfolio core
Weekly
1:1 check
Job Help
Resume & mock
Live + Lab Mix

Short live explain + hands-on lab tasks with chat support.

Architecture Steps

Add layers week by week: data, API, auth, deploy, observe.

Clean Code Habits

Git branches, reviews, tests, static checks start early.

Metrics & Logs

Simple logging, tracing and dashboards to spot issues.

Mentor Support

Weekly check sheet + clear next focus and blockers removed.

Career Track

Resume trim, LinkedIn tune, mock rounds and offer tips.

Learning Tracks

Pick focus area that matches job goal

ENGINEERING

Full‑Stack (.NET / React)
  • REST APIs & EF Core
  • React hooks & auth
  • Unit tests & CI/CD
Project: Shop App

ENGINEERING

Full‑Stack (Java / Spring)
  • Spring Boot APIs
  • Security & JWT
  • React UI basics
Project: Booking App

ENGINEERING

Frontend (React)
  • Hooks & state
  • Forms & API
  • Testing (RTL)
Project: Dashboard

DATA

Data Eng (Python)
  • Airflow ETL
  • SQL models
  • Quality checks
Project: IoT Pipeline

DATA

Data Science
  • Pandas clean
  • Explore & charts
  • Model compare
Project: Prediction

AI / ML

AI / ML Basics
  • Feature prep
  • Train + evaluate
  • Deploy API
Project: Model API

DEVOPS

Cloud & DevOps
  • Terraform modules
  • Docker deploy
  • Monitoring basics
Project: Multi Env

DEVOPS

Containers Focus
  • K8s basics
  • Helm templates
  • Scaling checks
Project: MicroSvc Set

DEVOPS

CI/CD Flow
  • Pipeline stages
  • Test gates
  • Rollback plan
Project: Pipeline Kit

QUALITY

QA Automation
  • Web tests
  • API tests
  • Load tests
Project: Test Dash

QUALITY

Playwright Focus
  • Locators
  • Parallel runs
  • Trace view
Project: Web Suite

QUALITY

API Contract
  • Spec validate
  • Schema tests
  • Perf probe
Project: API Guard

MOBILE

Mobile (Flutter)
  • Widgets & state
  • Navigation & API
  • Basic tests
Project: Task App

UI / UX

UI / UX Starter
  • User flows
  • Wireframes
  • Design tokens
Project: App Mock

MOBILE

Mobile (React Native)
  • Core components
  • State manage
  • APK build
Project: Notes App

SECURITY

Secure Engineering
  • Threat basics
  • Secrets & scans
  • Secure config
Module Add‑On

SECURITY

Cybersecurity Basics
  • Common risks
  • Access control
  • Hardening
Project: Secure API

SECURITY

API Protection
  • Rate limit
  • Audit trail
  • Alert hook
Project: API Shield

ADD‑ON

Interview Boost
  • DSA drills
  • System sketch
  • Behavior talk
Extra Pack

ADD‑ON

Analytics / BI
  • Dashboard build
  • DAX basics
  • Story tips
Extra Pack

ADD‑ON

Git Mastery
  • Branch pattern
  • Conflict fix
  • Tag & release
Extra Pack

Syllabus Snapshot

12 week example plan

  • Tools & git flow
  • Language basics
  • Project scaffold
  • First tests & CI

  • Data models & store
  • API design & errors
  • Auth basics
  • Static checks

  • Async & queue basics
  • Infra as code intro
  • Unit + integration tests
  • Deploy flow

  • Structured logs
  • Metrics & simple charts
  • Load tests
  • Cost check

  • Feature freeze
  • Security review
  • Demo refine
  • Docs & readme

  • Mock interviews
  • Resume & LinkedIn
  • Referrals & outreach
  • Final demo

Cohort Timeline

Key weekly goals

W1
Setup

Tools ready, repo created.

W2–3
Core Build

Data + API + basic UI.

W4–5
Integration

Auth, queues, infra.

W6–7
Quality

Reviews, tests, metrics.

W8–9
Polish

Optimize & secure.

W10–11
Finish

Docs & demo.

W12
Career

Interviews & offers.

Career Help

Interview • Resume • Coaching • Placement

Interview Practice

Simple drills for coding, design and problem talk.

  • Timed code rounds
  • Design whiteboard
  • Scenario fixes
  • Behavior answers
Mock roundsTips
Resume & Profile

Clear points with numbers and action words.

  • Metric rewrite
  • Keyword check
  • LinkedIn tune
  • Repo clean up
ATS‑friendlyLinkedIn
1:1 Coaching

Weekly call to remove blockers and adjust plan.

  • Goal sheet
  • Gap fix steps
  • Mini tasks
  • Progress stats
Personal planSupport
Weekly Planner

Plan sprints and track deliverables with simple checklists.

  • Sprint goals
  • Daily tasks
  • Blocker notes
  • Review points
StructureConsistency
Portfolio Help

Show project clearly and fast.

  • Demo flow
  • Readme outline
  • Arch diagram
  • Quality checks
ShowcaseQuality
Job Support

Help with outreach and offer talk.

  • Referral connect
  • Recruiter scripts
  • Offer compare
  • Negotiation tips
ReferralsNegotiation
Community & Networking

Peer support, referral circles and mentor AMAs.

  • Peer reviews
  • Referral circle
  • AMA sessions
  • Job channels
CommunityReferrals
Growth After

90 day plan and next skill steps.

  • Onboard plan
  • Skill ladder
  • Community chat
  • Review cycle
Onboarding90‑day plan

300+

People Trained

85%

Job Rate

6 Weeks

Avg Offer Time

40%

Career Shifts

3 Regions

US | India | Canada

Success Stories

Short notes from recent learners

“The weekly project plan and code reviews made things clear. I went from basic Java to a Spring + React offer in under three months.”

Aditi Sharma Full‑Stack Engineer • Pune First job offer

“Labs, feedback and resume help were very focused. The data capstone was the main topic in all three of my interviews.”

Mohammed Ali Data Engineer • Hyderabad Career switch

“I work full‑time, so small weekly goals and mock rounds helped. Got a better offer with DevOps + cloud work.”

Daniel Thomas DevOps Engineer • Toronto Promotion & hike

Sample Projects

Portfolio items that show skill

Shop
Shop Platform

Products, cart, checkout, roles and fake payment.

IoT
Device Data Pipeline

Stream ingest, warehouse store, anomaly check and dashboard.

Infra
Multi Env Infra

Terraform, containers, blue/green deploy and cost watch.

Security
Secure API Gateway

JWT auth, rate limit, secret rotate and scan automation.

ML
Predictive Maintenance

Features, model train, score view and simple inference API.

BI
Analytics Suite

Data model, semantic layer and KPI dashboards by role.

Support Bot
Chat Help Bot

Simple RAG prompt flow, FAQ source ingest and answer log.

Monitor
Log Monitor Tool

Parse logs, detect spikes, send alert and show mini dashboard.

FAQ

Simple answers

Final year students, new grads, career changers or early professionals.

About 8–10 live hours plus 10–12 project hours. We adapt for working people.

Basic programming helps. We send prep links after you apply.

Yes, based on project quality and steady progress. We also give a reference letter when earned.

You must finish the project well, show interview readiness and be professional in sessions.

Ready to start your training journey?

Next batch starts soon. Apply to get prep material and a clear roadmap to placement.

Contact Us Chat on WhatsApp

Response time: usually within 24 hours.