2hr/day Program · Mon–Fri · 3 months
Full Stack Python
Developer Track
Developer Track
Pure manual coding. No AI tools. Every line written by hand. Frontend + Backend + Database + REST API. Students graduate whiteboard-ready for local IT company interviews.
Frontend
F1
HTML5 + CSS3
Semantic tags, forms, tables, media. Box model, Flexbox, Grid, responsive design with media queries. Students hand-code 3 pages from scratch — profile, product listing, login form.
HTML5CSS3Responsive
F2
Bootstrap 5
Grid, navbar, cards, modals, forms, tables, utility classes. Rebuild F1 pages with Bootstrap — same result, professional finish. Standard UI toolkit for local Django client projects.
Bootstrap 5
F3
JavaScript — DOM, Events, Fetch API
Variables, functions, arrays, objects, loops. DOM manipulation, event listeners, form validation. Fetch API — call a live API and display results on page. Pure JS, no jQuery.
JavaScript ES6DOMFetch API
Backend
B1
Python Fundamentals
Variables, data types, strings, lists, tuples, dicts, sets. Loops, conditionals, functions, scope, lambda, file I/O, error handling, modules. Every concept taught through a real task.
Python
B2
OOP
Classes, objects, inheritance, encapsulation, polymorphism — through one evolving "Employee" class.
OOPDSAAlgorithms
B3
MySQL — Raw SQL before ORM
Database design, DDL, DML, CRUD, joins, GROUP BY, subqueries, indexing, mysql-connector-python. Real task: student record manager from terminal. Raw SQL first so Django ORM is understood later.
MySQLSQL
B4
Django — Core Framework (3 weeks)
Project/app structure, models + migrations, function-based views, URL routing, templates + inheritance, forms + validation, Django ORM CRUD, admin panel, user authentication (register/login/logout/sessions), static files.
▸ Mini project: Multi-page Django app with login + DB + admin panel — built inside this module.
DjangoORMBootstrap UI
B5
Django REST Framework
REST principles, serializers, ModelSerializer, APIView, token auth, filtering. Extend B4 project — same data, now also a JSON API. Web UI + REST API from one codebase.
DRFREST APIPostman
B6
Git + GitHub
Init, add, commit, push, pull, branches, merge, .gitignore, README. Code pushed to GitHub from Week 1. Real commit history — recruiters check GitHub before the interview.
GitGitHub
Capstone
C1
Zuvio Core — Final 2 Weeks
Full-stack: Bootstrap+JS frontend + Django backend + MySQL + REST API. GitHub with README. Resume with project highlighted. LinkedIn profile setup. Top 40 interview Q&A from real Coimbatore company drives. Mock technical + HR round.
▸ Deliverable: Full-stack Django app on GitHub — frontend + backend + REST API + README.
5 Job Descriptions — 2hr Graduates
Real JDs from Naukri, Internshala, Glassdoor, Indeed India — April 2026. Click any card to expand.
Junior Python Developer — Fresher
Nesa Software · Chennai · ₹2–3 LPA
Role
Build and maintain Django web apps for client projects. CRUD modules, form handling, DB integration. Freshers welcome.
Required Skills
PythonDjangoMySQLHTML/CSSJavaScriptREST APIGitOOP
Interview
Round 1: Written Python + OOP + SQL test. Round 2: Explain project, write Django view on whiteboard. Round 3: HR.
Search similar on Indeed →Python Django Backend Intern → Full-Time
Maha IT Solutions · Chennai · ₹15K/month → ₹2.4 LPA
Role
6-month internship with confirmed full-time conversion. Django backend for ERP and management systems. Model design, REST API, admin panel.
Required Skills
PythonDjangoMySQLDRFHTML/CSSPostmanGit
Search similar on Internshala →Junior Full Stack Web Developer (Python)
Ninos IT Solution · Vadapalani, Chennai · ₹2.5–3.5 LPA
Role
Build Django views with Bootstrap UI. Develop REST APIs. Debug and maintain client projects. Small 5–10 person team.
Required Skills
PythonDjangoHTML/CSSBootstrapJavaScriptMySQLREST APIGit
Search similar on Indeed →Python Developer Trainee — Walk-In Drive
Cyber Infrastructure Inc. (CIS) · Coimbatore / Chennai · ₹2.1–2.5 LPA
Role
Entry-level Python with 3-month training then live project. Strong OOP and SQL tested in walk-in. Whiteboard coding round.
Required Skills
PythonOOPMySQLDjango basicsHTML/CSSAlgorithms
View full JD on CIS →Junior Software Developer — Local IT Product Company
Coimbatore region IT firms · ₹2–3 LPA
Role
Build web management systems for local business clients. HTML design → Django views → MySQL → admin panel. Full page lifecycle.
Required Skills
PythonDjangoMySQLBootstrapJavaScriptREST APIGit
Search on Naukri →2hr Program Summary
2 Projects
Mini Django app + Zuvio Core
Full-stack
HTML+CSS+JS+Bootstrap+Django+DRF+MySQL
3 months
Mon–Fri · 2hrs/day
Whiteboard-ready
Manual coding only
8hr/day Program · Mon–Sat · 4 months
Full Stack Python with AI Mastery
Everything in the 2hr program plus React, NumPy/Pandas as AI support tools, AI fundamentals, ML concepts, DFS/BFS algorithms, prompt engineering, Gemini API integration, GitHub Copilot workflow, live deployment, and a real internship.
Shared Morning Block — Months 1–3
All students together — identical to 2hr morning content
HTML + CSS + Bootstrap + JS + Python + OOP + DSA + MySQL + Django + DRF + Git. Faculty teaches once. 8hr students attend with 2hr students. From month 3 second half, 8hr students continue into afternoon add-ons.
NumPy + Pandas — AI Support Tools
Not data science. These are taught as tools to prepare and handle data when working with AI APIs — the exact skill needed when building AI features for IT service company clients.
DS1
NumPy — Arrays for AI Input
Arrays vs Python lists. Creating, reshaping, slicing, basic math (sum, mean, std). Context: when sending tabular data or records to an AI API, data often needs array form first. Students learn to prepare data the way AI models expect it.
NumPyData for AI
DS2
Pandas — Cleaning Data Before AI Processing
Reading CSV/Excel. Cleaning nulls, duplicates, data types. Filtering rows. Converting DataFrames to text for API context injection. Real task: client's Excel catalog → clean with Pandas → convert to text → send to Gemini API → smart answers. This is how the Zuvio smart search works under the hood.
▸ Applied in project: Catalog cleaning → context injection → AI smart search.
PandasContext injection
DS3
MongoDB Fundamentals
JSON Structure : How data is stored in MongoDB using JSON-like documents (BSON). Understanding key-value pairs, nested objects, and arrays in a simple way.
CRUD Operations in MongoDB : Create, Read, Update, Delete — the core actions you perform on data. Learn how applications store, retrieve, modify, and remove data efficiently.
Query Operators : How to filter and find specific data using operators like $eq, $gt, $in. Think of it as searching smartly instead of scanning everything.
Aggregation : How to process and transform data using pipelines. Used for calculations, grouping, and generating insights — similar to reports in SQL but more flexible.
Indexing and Searching : How MongoDB speeds up data retrieval using indexes. Why indexing is important and how it improves performance for large datasets.
Validation : How to enforce rules on your data (like required fields, formats). Ensures data consistency and prevents incorrect entries in the database.
MongoDB JSONQuery
AI + ML Fundamentals — 8hr Exclusive (10 hrs)
AI fundamentals + how AI helps in IT service projects + prompt engineering + three ML paradigms (Supervised, Unsupervised, Reinforcement Learning) + DFS and BFS algorithms. No heavy math. Concept-first, practical-second approach for IT services students.
AI — How it works + IT service application
AI1
AI Fundamentals — Simply Explained
What is AI, ML, Deep Learning, LLMs — the hierarchy in plain English. How a language model works: trained on text, predicts next word, scales to billions of parameters. Why it gives different answers each time (temperature). Difference between rule-based systems (old IT software) and AI-powered systems (modern IT software). What training data is and why it matters.
AI Fundamentals
AI2
How AI Helps in IT Service Company Projects
Real IT service scenarios students will face: (1) Client wants a chatbot on their business website — build with Django + Gemini API. (2) Client has a product catalog Excel — customers want to query it in plain English. (3) Auto-generate professional service descriptions for SME providers. (4) Support ticket auto-classification for an IT helpdesk. Students map each scenario to code they can write on the job.
AI in IT servicesReal scenarios
AI3
Prompt Engineering — Practical
System prompt vs user prompt. Role prompting: "You are a customer support agent for XYZ Clinic." Few-shot: give 2–3 examples for consistent output. Context injection: pass document text, ask questions. Output format control: "Always respond in JSON." Students write and test 10 prompts — hands-on, not slides.
Prompt EngineeringSystem promptsFew-shot
AI4
Gemini API — Calling AI from Python in Django
API key from Google AI Studio (free, no credit card). Install google-generativeai. 10-line Python call. Wrap in a Django view. Return as DRF JSON. Display in React. Full chain: prompt → Django → Gemini → React. Powers all AI features in Zuvio project.
Free tier: 15 req/min, 1M tokens/day. Zero cost. No credit card needed.
Gemini APILLM integration
AI5
Copilot + ChatGPT + Claude — Daily Coding Workflow
GitHub Copilot: write comment → Tab to accept → always read before using. Best for serializers, repetitive views, React components. ChatGPT debug template: "Error: [X]. Code: [paste]. Expected: [Y]. Fix?" Claude for code review: "Review my Django models." Woven into every afternoon session from week 13.
Copilot free with GitHub Student Pack. ChatGPT + Claude free tiers sufficient for all students.
GitHub CopilotChatGPTClaude
ML — Three Learning Paradigms
ML1
Supervised Learning
Definition: model learns from labeled data — input + correct output pairs. How it trains: adjust weights to minimize prediction error. Real examples students relate to: predict service booking price (regression), classify support ticket as urgent/not urgent (classification).
Key algorithms (conceptual)
- Linear Regression — predict a number
- Logistic Regression — yes/no output
- Decision Tree — if/else logic at scale
- k-Nearest Neighbors — vote by similarity
IT service use cases
- Predict customer churn for a CRM client
- Classify support tickets by priority
- Price prediction for a service marketplace
- Spam detection for email marketing tools
ML2
Unsupervised Learning
Definition: model finds patterns in data with no labels. Groups similar data without being told what the groups are. Real example: cluster customers by booking behavior — without knowing the groups in advance.
Key concepts
- k-Means Clustering — group by distance
- How cluster count is chosen
- Dimensionality reduction (PCA — awareness only)
- Anomaly detection concept
IT service use cases
- Customer segmentation for marketing clients
- Product grouping for e-commerce apps
- Detect unusual login patterns in a web app
- Group similar support tickets automatically
ML3
Reinforcement Learning
Definition: agent learns by trial and error — takes actions, gets rewards or penalties, improves over time. Taught conceptually only — no code implementation needed for IT services roles. Students understand why it powers recommendation engines and game AI.
Key concepts
- Agent, environment, action, reward
- Explore vs exploit trade-off
- How reward shaping works
- Real-world: recommendation systems
Why it matters for IT services
- Powers "recommended services" features
- Used in dynamic pricing engines
- Basis of chatbot self-improvement
- Interview awareness question — very common
AI Search Algorithms — DFS & BFS
ALG1
DFS — Depth First Search
How it works: explore as deep as possible down one path before backtracking. Uses a stack (or recursion). Traverses a tree or graph branch by branch. Good for: finding if a path exists, solving maze-type problems, traversing nested data structures.
What students learn
- Stack-based traversal logic
- Recursive DFS implementation in Python
- Pre-order, in-order, post-order tree walk
- Time complexity: O(V+E)
IT + AI use cases
- Crawling nested categories in a web app
- Decision tree traversal in ML
- Pathfinding in service area mapping
- Graph-based dependency resolution
ALG2
BFS — Breadth First Search
How it works: explore all neighbors at the current depth before going deeper. Uses a queue. Finds the shortest path between two nodes. Good for: social network connections, level-order tree traversal, finding nearest locations in a map.
What students learn
- Queue-based traversal logic
- BFS implementation in Python
- Level-order tree traversal
- Shortest path concept
IT + AI use cases
- Find nearest service provider in Zuvio
- Social graph connections (LinkedIn-style)
- BFS in AI state-space search
- Web crawler page discovery logic
DFS and BFS are core AI search algorithms — they form the foundation of how AI agents explore problem spaces. Teaching both with Python code examples and IT service use cases in 10 hrs total (combined with ML topics) gives students the ability to answer AI-related algorithm questions confidently in interviews for IT roles that are beginning to require AI awareness.
React JS
R1
React Fundamentals
JSX, functional components, props, useState, useEffect, conditional and list rendering. Taught directly as: "Your Django REST API is ready. Now build a real dynamic frontend." Every concept connected to their existing project.
React
R2
React Router + Axios + JWT + AI Widget
Multi-page SPA with React Router v6. Axios for DRF API calls. JWT token auth. CORS config in Django. Build the AI chatbot widget: chat UI, message history in state, Axios call to Django AI endpoint. Build smart search component. Full loop: React → Django → Gemini → back to React.
▸ Milestone: Zuvio full platform — React + Django + AI chatbot + smart search — live end to end.
React RouterAxiosJWTAI widget
Live Deployment
D1
Railway (Django) + Vercel (React)
Railway: connect GitHub → auto-detect Python → add PostgreSQL → set env vars → live in 5 min. Vercel: connect GitHub → auto-build React → set API URL → live in 3 min. Students get a permanent public URL for their resume and LinkedIn.
RailwayVercelPostgreSQL
Internship
I1
2–3 Week Live Project — Ether Services
Real client brief: add a chatbot to an SME website, build a Django API for a marketing tool, create a data input module for a client app. Real GitHub commits. Supervised by Ether Services team. Ends with signed certificate + a specific story for interviews.
▸ Output: Signed certificate + GitHub activity + client story for interview.
Internship
5 Job Descriptions — 8hr Graduates
These roles require React, AI awareness, or data skills — all covered in the 8hr add-on block. Click to expand.
Python Full Stack Developer (React + Django) — Fresher/Junior
Impressico Business Solutions · Chennai / Remote · ₹4 LPA (intern → FT)
Role
Build AI-driven web apps for IT service clients. 6-month internship at ₹15K/month converts to ₹4 LPA full-time.
Required Skills
PythonDjangoReactREST APIPostgreSQLGitAI tools
Interview
Share GitHub project. Technical: build small React + DRF feature live. Deployed project URL weighted heavily.
Search similar on Internshala →React + Django Full Stack Developer — 0–1 Year
IT product startups · Chennai / Remote · ₹4–5 LPA
Role
Build full-stack apps for IT clients. React frontend consuming Django REST API. JWT, CORS, Axios. Deployed live project required in interview.
Required Skills
React JSDjango REST FrameworkJWTPostgreSQLAxiosGitLive deployed project
Search similar on Internshala →AI-Integrated Python Developer — IT Services
Mid-size IT companies · Pan India / Remote · ₹3.5–4.5 LPA
Role
Add AI features to IT service web apps. Build chatbot integrations, smart search, auto-generation features. IT service role — not AI research.
Required Skills
PythonDjangoGemini/OpenAI APIPrompt engineeringREST APIReact basics
Interview
Demo a working AI feature in your project. Explain the system prompt. Show the Django endpoint that calls the AI API.
Search similar on Internshala →Python Full Stack + Data Developer
IT product companies · Coimbatore / Bangalore · ₹3.5–5 LPA
Role
Build data-driven web apps for enterprise IT clients. Process and clean data with Pandas before AI API processing.
Required Skills
PythonDjangoPandasNumPyReactMySQLREST API
Search similar on Naukri →Software Developer Intern (React + Python) — Walk-In
Turtle Software / Acciojob Drive · Chennai / Pune · ₹4–5 LPA on conversion
Role
Walk-in drive. React + Django apps for IT service clients. Offline assessment + 3 technical rounds. Full-time at ₹4–5 LPA on performance.
Required Skills
HTML/CSS/JSReactPythonDjangoMySQLGitREST API
Assessment
Round 1: Offline coding — JS/React + Python functions. Rounds 2–3: Full-stack project deep-dive. Bring laptop. Deployed URL is a strong advantage.
Search similar on Internshala →8hr Program Summary
4 Projects
Mini + Zuvio Core + Zuvio Full + Internship
React + AI/ML
Full-stack + Gemini + ML concepts + DFS/BFS
Live URL
Deployed Vercel + Railway
4 months
Mon–Sat · 8hrs/day
Both Programs
The Zuvio
Project
Project
A local services marketplace — think UrbanClap/JustDial for Coimbatore. 3 user roles, booking lifecycle, ratings, AI features. Every Coimbatore IT interviewer immediately sees a client they can pitch this to.
2hr · 2 Projects
Zuvio Core
P1
Mini Django App
Built inside Django module. Login + DB + admin. Pushed to GitHub.
P2
Zuvio Core — Capstone
Bootstrap+JS + Django + MySQL + DRF. GitHub with README. Resume showpiece.
8hr · 4 Projects
Zuvio Full
P1
Mini Django App
Same as 2hr P1.
P2
Zuvio Core
Same as 2hr P2 — completed by month 3.
P3
Zuvio Full — Flagship
React + AI chatbot + smart search + live deployed URL.
P4
Internship Project
Real brief under Ether Services. Certificate.
Zuvio Core — 2hr Capstone
Django + Bootstrap + MySQL + DRF
Zuvio — Local Services Booking Platform
2hr capstone · manual full-stack
3 user roles: Customer, Service Provider, Admin. Django custom user model + role-based access.
Service listing + search + filter: Category browsing, keyword search, Bootstrap card grid with filter sidebar.
Booking system: Slot booking. Status: Pending → Confirmed → Completed → Cancelled.
Ratings + reviews: Star rating + text after completion. Provider average via Django ORM aggregation.
REST API (DRF): Endpoints for services, bookings, reviews. Token auth. Postman tested.
Zuvio Full — 8hr Flagship
React + Django + Gemini API + Railway + Vercel
Zuvio — Full Platform (Live + AI)
8hr flagship · AI-powered · live public URL
React frontend: Full SPA — Home, Search, Provider Profile, Booking Flow, Dashboards. JWT auth. Responsive.
AI chatbot: Chat widget. User: "Need a plumber in Singanallur under ₹500." Django → Pandas-cleaned catalog → Gemini → matching providers as clickable cards.
AI description generator: Provider fills basic details → clicks Generate → Gemini writes a professional description instantly.
NumPy + Pandas in action: Catalog CSV → Pandas cleans → text → context injected in Gemini prompt. Students see why those modules were taught.
Live deployed: React on Vercel, Django on Railway + PostgreSQL. Interviewer clicks the live link during the interview.
8hr Program · Deployment Module
Live Hosting
Guide
Guide
Every 8hr student leaves with a permanent public URL. Taught in one class session — students deploy during class, not alone at home.
React → Vercel · Free always
Connect GitHub → auto-deploys on every push
Free tier: always on, no cold starts
Set env: REACT_APP_API_URL = Django Railway URL
Student URL: yourname-zuvio.vercel.app
Cost: ₹0 always
Django → Railway · $5 free credit/month
Auto-detects Python, auto-deploys from GitHub
PostgreSQL plugin — DATABASE_URL set automatically
Why not Render: Render free tier sleeps 15 min → 30 sec cold start. Railway stays awake — never embarrass a student in an interview.
Cost: ₹0 on $5 credit. ~₹200/month if exceeded.
Step-by-step — one class session
1
Prepare Django for production
DEBUG=False, ALLOWED_HOSTS, WhiteNoise, django-cors-headers, requirements.txt, Procfile. Push to GitHub.
2
Deploy Django on Railway
New project → GitHub → repo. Add PostgreSQL plugin. Set env vars. Run migrations from console. Live in 5 min.
3
Update CORS in Django
Add Vercel domain to CORS_ALLOWED_ORIGINS. Redeploy. Teach this slowly — most students get stuck here.
4
Deploy React on Vercel
New project → GitHub → React repo. Set REACT_APP_API_URL = Railway URL. Auto-build. Live in 3 min.
5
Full end-to-end test + screenshot
Open Vercel URL. Register, create service, book, use AI chatbot. Check Railway admin. Screenshot for LinkedIn + resume.
Options comparison
| Platform | Best for | Free tier | Verdict |
|---|---|---|---|
| Railway | Django backend | $5/month credit | Use this — always on |
| Vercel | React frontend | Always free | Use this — best for React |
| Render | Django backup | Free but sleeps | Demo only |
| PythonAnywhere | Django only | Always free (limited) | Good for 2hr students to try |
| Netlify | React alternative | Always free | Use if Vercel has issues |
8hr Program Exclusive
AI Tools Guide
Two categories: tools that make students code faster, and APIs to add AI features to their project. Total student cost: ₹0 using free tiers and GitHub Student Pack.
Coding tools
T1
GitHub Copilot
VS Code extension. Reads code context → suggests next lines. Best for: Django serializers, repetitive views, React components. Saves 30–40% writing time on repetitive code. Key rule: always read what Copilot writes before accepting.
Free with GitHub Student Developer Pack (education.github.com). Otherwise $10/month.
T2
ChatGPT
Debug template: "Error: [X]. Code: [paste]. Expected: [Y]. What is wrong?" Also: explain unfamiliar code, write README, generate test data.
Free tier sufficient. Faculty uses one Plus plan ($20/month) for class demos.
T3
Claude
Best for: "Review my Django models — design issues?" "Is this React component structured well?" More thorough for architecture questions. Also excellent for writing README and project descriptions.
Free tier at claude.ai sufficient. Faculty uses one Pro plan for demos.
AI APIs for project features
A1
Google Gemini API — teach first
Free tier: 15 req/min, 1M tokens/day. API key from aistudio.google.com — no credit card. Used for all AI features in Zuvio: chatbot, smart search, description generator.
Cost: ₹0. No credit card. Every student can use from day one of AI module.
A2
OpenAI API — optional
GPT-4o-mini: ~$0.60 per 1M tokens. ~₹50 total for student project. Appears in more JDs. Needs a credit card — reason Gemini is taught first.
Cost: ~₹25–50 total. Optional — only if student targets JDs mentioning OpenAI.
Total cost — 4 months
| Tool | Plan | Student cost | Note |
|---|---|---|---|
| GitHub Copilot | Student Pack | ₹0 | Free with .edu email or student verification |
| ChatGPT | Free tier | ₹0 | Sufficient for all debugging and docs |
| Claude | Free tier | ₹0 | Sufficient for code review |
| Gemini API | Free tier | ₹0 | No credit card. All AI project features. |
| Railway | $5 credit/month | ₹0–200 | Free for typical student traffic |
| Vercel | Always free | ₹0 | Always free for React |
| Total | ₹0 to ₹200/month maximum | ||
Both Programs
Schedule &
Duration
Duration
Program Overview
2hr/day
3 months · Mon–Fri
~60 contact hours
Full-stack: HTML+CSS+Bootstrap+JS+Python+OOP+DSA+Django+DRF+MySQL+Git
2 projects — Mini Django app + Zuvio Core
No AI tools — pure manual coding
5 real JDs to apply on graduation day
8hr/day — Hero Product
4 months · Mon–Sat
Month 1–3: Morning with all students (2hr core)
Month 3–4 afternoon: NumPy+Pandas + AI fundamentals + Supervised/Unsupervised/RL ML + DFS/BFS + Prompt engineering + Gemini API + Copilot + React + Deployment + Internship
4 projects — Mini app + Zuvio Core + Zuvio Full (live URL) + Internship project
Internship certificate from Ether Services
Fees confirmed separately. This document is for trainer review and module-level planning only.
Contact: Abhi ·
9025620232 ·
appincoimbatore.com