Web Development · Company Training
Why Companies in Delhi Choose Uncodemy for Web Development Training
Quick summary — why companies in Delhi choose Uncodemy for web development
When companies in Delhi choose Uncodemy for web development training, they are usually looking for focused improvements: stronger backend APIs, secure coding and better testing. Effective programmes start from a review of the team's real code, run practical labs in Python and related tools, and measure results through changes in the team's own repositories.
In this guide you will learn:
- Backend API training — consistent, well-designed endpoints.
- Secure coding — preventing common web vulnerabilities.
- Testing culture — adding tests that teams keep using.
- Planning templates — briefs, assessments and reports.
- Tips — getting real value from team training.
SECTION 01Backend API training: consistent, well-designed endpoints
Many web teams grow quickly and end up with inconsistent APIs: different naming styles, unclear status codes, missing validation. Training that focuses on API design — resource naming, HTTP methods, status codes, validation, pagination and error formats — helps teams agree on conventions. Labs work best when they use a simplified version of the company's own service, so developers apply lessons immediately.
| API issue | Typical symptom | Training focus | Evidence of improvement |
|---|---|---|---|
| Inconsistent naming | /getUsers and /user_list side by side | Resource-based URLs | Style guide adopted |
| Wrong status codes | Errors returned with 200 | Correct 4xx and 5xx use | Review of changed endpoints |
| Missing validation | Crashes on bad input | Schema validation | Fewer input-related bugs |
| No pagination | Slow list endpoints | Limit and cursor patterns | Faster list responses |
from fastapi import FastAPI, HTTPException, Query
from pydantic import BaseModel, Field
app = FastAPI()
class ProductIn(BaseModel):
name: str = Field(min_length=2, max_length=80)
price: float = Field(gt=0)
PRODUCTS: dict[int, dict] = {}
@app.post("/products", status_code=201)
def create_product(p: ProductIn):
pid = len(PRODUCTS) + 1
PRODUCTS[pid] = {"id": pid, **p.model_dump()}
return PRODUCTS[pid]
@app.get("/products")
def list_products(limit: int = Query(20, le=100), offset: int = 0):
items = list(PRODUCTS.values())
return {"items": items[offset:offset + limit], "total": len(items)}
@app.get("/products/{pid}")
def get_product(pid: int):
if pid not in PRODUCTS:
raise HTTPException(status_code=404, detail="Product not found")
return PRODUCTS[pid]
Team API conventions (example)
URLs : plural nouns, lowercase, hyphens (/order-items)
Methods : GET read, POST create, PATCH update, DELETE remove
Status : 201 created, 400 validation, 401 not logged in,
403 forbidden, 404 not found, 409 conflict
Errors : {"detail": "...", "code": "..."}
Lists : ?limit=&offset= with "total" in response
SECTION 02Secure coding: preventing common web vulnerabilities
Security issues in web applications often come from a short list of mistakes: injection, broken access control, weak authentication, exposed secrets and missing input checks. The OWASP Top 10 is a widely used reference for these risks. Secure coding training helps developers recognise and fix them in code review. For companies, the goal is fewer issues reaching production and faster fixes when they are found.
| Risk area | Common mistake | Secure practice | Lab exercise |
|---|---|---|---|
| Injection | SQL built with string formatting | Parameterised queries, ORM | Fix an injectable query |
| Broken access control | Checking login but not ownership | Authorisation on every object | Block reading other users' orders |
| Secrets exposure | Keys in source code | Environment variables, secret stores | Remove a key and rotate it |
| Weak authentication | Plain or fast-hashed passwords | Strong hashing, MFA | Migrate to a proper hash |
from fastapi import Depends, HTTPException
def get_current_user():
... # returns the logged-in user (e.g. from a session or token)
@app.get("/orders/{order_id}")
def get_order(order_id: int, user=Depends(get_current_user)):
order = ORDERS.get(order_id)
if order is None:
raise HTTPException(404, "Order not found")
# Without this check, any logged-in user could read any order
if order["user_id"] != user["id"]:
raise HTTPException(403, "Not allowed")
return order
import sqlite3
conn = sqlite3.connect("shop.db")
def find_orders_unsafe(email):
# VULNERABLE: never do this
return conn.execute(f"SELECT * FROM orders WHERE email = '{email}'").fetchall()
def find_orders_safe(email):
return conn.execute("SELECT * FROM orders WHERE email = ?", (email,)).fetchall()
SECTION 03Testing culture: tests teams keep using
Many teams know they should write tests but struggle to start or maintain them. Training helps most when it is practical: writing unit tests for business rules, API tests for endpoints and fixtures for test data, then adding them to CI. Success is not a one-time burst of tests during training, but tests that keep running and growing in the team's repositories weeks later.
| Testing gap | Effect | Training focus | Evidence |
|---|---|---|---|
| No tests | Fear of changing code | First tests on critical rules | Tests merged into main |
| Slow, flaky tests | Tests ignored | Isolation and fixtures | Stable CI runs |
| Only UI tests | Late feedback | API and unit tests | Faster pipeline |
| Tests not in CI | Nobody runs them | Pipeline integration | Tests run on every pull request |
from fastapi.testclient import TestClient
from products_api import app
client = TestClient(app)
def test_create_and_fetch_product():
r = client.post("/products", json={"name": "Notebook", "price": 50})
assert r.status_code == 201
pid = r.json()["id"]
assert client.get(f"/products/{pid}").json()["name"] == "Notebook"
def test_invalid_price_rejected():
r = client.post("/products", json={"name": "Pen", "price": 0})
assert r.status_code == 422
def test_missing_product_returns_404():
assert client.get("/products/9999").status_code == 404
name: api-tests
on: [pull_request]
jobs:
test:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: actions/setup-python@v5
with:
python-version: "3.12"
- run: pip install fastapi httpx pytest
- run: pytest -q
SECTION 04Planning templates for company web development training
Use these templates to plan training with any provider.
Company / team:
Participants (roles, experience):
Stack (languages, frameworks, databases):
Main need: APIs / security / testing / onboarding
Sample code we can share (simplified):
Format: on-site / online / blended
Schedule constraints:
Success measures:
Before training (45-60 minutes):
1. Review a sample endpoint; list 3 problems
2. Fix an injectable query
3. Add an authorisation check
4. Write 2 API tests for an endpoint
Repeat similar tasks after training to compare.
Training results summary
Need addressed:
Assessment results (before -> after):
Changes merged into team repos:
- conventions document
- tests added
- security fixes
Manager feedback after 4-6 weeks:
Next steps:
SECTION 05Tips for getting real value from team training
Companies benefit most when training connects to daily work:
- Share simplified real code — labs on familiar code transfer fastest.
- Pick one main need per programme — APIs, security or testing.
- Agree conventions during training — and write them down.
- Protect time for applying lessons — a follow-up sprint task helps.
- Measure merged changes — not just attendance.
SECTION 06Interview Q&A — company web development training
Q1How would you improve API consistency in a team?
Agree written conventions for URLs, methods, status codes, errors and pagination, review existing endpoints against them, add validation and update documentation and tests.
Q2What is broken access control?
When an application checks that a user is logged in but not whether they are allowed to access a specific resource, such as another user's order. Every request must check authorisation.
Q3How do you prevent SQL injection?
Use parameterised queries or an ORM so user input is passed as data, never concatenated into SQL strings, and validate input types.
Q4How do you build a testing habit in a team that has no tests?
Start with tests for the most critical business rules and endpoints, keep them fast, add them to CI so they run on every pull request and require tests for new changes.
Q5How would you measure the impact of web development training?
Compare code-based assessments before and after, track conventions adopted, tests and security fixes merged into team repositories, and gather manager feedback after several weeks.
SECTION 07Test yourself — company web development training quiz
Five questions. No sign-up.
0 / 5Pick an answer to see why it is right or wrong.
SECTION 08Frequently asked questions
Why do companies invest in web development training?
To improve code quality, API consistency, security and testing, and to help new developers become productive faster on the company's stack.
Can Uncodemy design web development training for a company in Delhi?
Training can be shaped around a team's needs and stack, focusing on areas such as Python backend APIs, secure coding and testing. A counsellor conversation and a scoped proposal are the first steps.
What is the OWASP Top 10?
It is a widely used awareness document from the OWASP Foundation that lists major categories of web application security risks, such as injection and broken access control.
How long should corporate web development training be?
It depends on the need and team. Focused programmes often run over a few weeks so developers can apply lessons in real work between sessions.
Is online training effective for development teams?
Yes, when sessions are live and hands-on, with labs on realistic code and support between sessions. Some teams prefer on-site or blended formats.
SECTION 09Related reads
Classroom & online · Noida
Shape web development training around your team
Our Python Training Course builds Python backend, API, testing and secure coding skills through hands-on labs, and can be scoped to a team's goals — start with a demo and a code-based assessment.
Talk to a counsellor for current fees- Python API design labs
- Secure coding practice
- Testing and CI integration
- Flexible batch formats