Free · Hands-on · Beginner-friendly

Learn to Code.

From the first line to your first job — built for engineers, by an engineer.

Not sure where to begin?

Pick your track.

Every track combines structured tutorials, runnable examples, and interview-grade content. Free forever.

Python
The most-loved language for beginners, automation, and AI.
🐍 Python Example ▶ Try it Yourself
# Hello, world!
print("Hello, World!")

# Variables and f-strings
name = "Raman"
age  = 28
print(f"My name is {name}, age {age}.")

# A simple loop
for i in range(3):
    print(f"Count: {i}")
SQL
The language of data — queries, joins, and window functions.
🗃️ SQL Example ▶ Try it Yourself
-- Find top customers by revenue
SELECT c.name,
       SUM(o.amount) AS total
FROM customers c
JOIN orders o
  ON c.id = o.customer_id
GROUP BY c.name
ORDER BY total DESC
LIMIT 5;
Java
Object-oriented, statically typed, and everywhere in enterprise.
☕ Java Example 12 lessons →
public class HelloWorld {
    public static void main(String[] args) {
        String name = "Raman";
        int age = 28;
        System.out.println(
            "Hello, " + name + "!"
        );
    }
}
Master
Claude AI
NEW
From beginner to Anthropic certification — Pro modes, API setup, MCP servers, and advanced prompting.
10 lessons MCP setup Exam prep
🤖 Claude API Example View lesson →
import anthropic

client = anthropic.Anthropic()

message = client.messages.create(
    model="claude-sonnet-4-5",
    max_tokens=1024,
    system="You are a data engineering expert.",
    messages=[{"role":"user",
               "content":"Design a star schema for retail."}]
)
print(message.content[0].text)
Data
Modeling
Fact & Dimension tables, Star/Snowflake schemas, SCDs, normalization — the foundation of every data warehouse.
13 lessons Star & Snowflake SCD Type 1/2/3 OLTP vs OLAP
🏛 Schema Example View lesson →
-- Star Schema: Fact + Dimensions
SELECT
  d.customer_name,
  t.month,
  p.product_name,
  SUM(f.revenue) AS total
FROM   fact_sales f
JOIN   dim_customer d ON f.customer_key = d.key
JOIN   dim_time     t ON f.time_key     = t.key
JOIN   dim_product  p ON f.product_key  = p.key
GROUP BY d.customer_name, t.month, p.product_name;
Learn
ERWIN
NEW
The industry-standard data modeling tool — build Conceptual, Logical & Physical models, generate SQL DDL, crack the interview.
9 lessons CDM → LDM → PDM Forward Engineer 16 Interview Q&As
🏛️ ERWIN — Generated DDL View lesson →
-- ERWIN Forward Engineered DDL
CREATE TABLE customer (
  customer_id BIGINT GENERATED ALWAYS
              AS IDENTITY,
  first_name  VARCHAR(50)  NOT NULL,
  email       VARCHAR(254) UNIQUE NOT NULL,
  created_at  TIMESTAMPTZ  DEFAULT NOW(),
  CONSTRAINT pk_customer
    PRIMARY KEY (customer_id)
);
v2.0 — Now teaching AI & Cloud

Master the craft
of codebeautifully.

Welcome to Code With Raman — your modern platform to master Python, SQL, AI, and Cloud through interactive playgrounds, real-world projects, and a structured path from beginner to industry-ready.

★★★★★Trusted by 12,000+ learners
100% free forever
No signup required
Raman Sharma — founder, Code With Raman
🐍 Python ☁️ AWS · Cloud 🗃️ SQL 🤖 AI / ML
Raman Sharma
CLOUD · DEVOPS · PYTHON
50+
Python Lessons
30+
SQL Lessons
100%
Free Forever
Live
Code Editor
A note from your instructor

Hi, I'm Raman.
Let me help you level up.

I built Code With Raman because most learning platforms either dumb things down or drown you in jargon. There's a better path — one that respects your intelligence, gives you real tools, and gets you shipping code from day one.

Whether you're brand-new to programming or sharpening your edge for a senior role, every lesson here is hand-crafted to take you from "I think I get it" to "I actually built this."

— Raman, your code companion
~/welcome.py
# Your journey starts here
def begin(name):
    return f"Welcome, {name}."
 
# Let's build something real.
>>> begin("learner")
'Welcome, learner.'
>>>
Why this platform

Built for learners who
actually want to ship.

Every feature designed around one principle: minimum friction between curiosity and code in production.

Run real code in your browser.

Live Python and SQL execution. No setup, no installs, no friction. Just write, run, learn — like a senior engineer would.

playground.py
import pandas as pd
df = pd.read_csv("sales.csv")
df.groupby("region").sum()
▸ region total
APAC 48,200
EMEA 61,750

Beginner-friendly

Every concept built up from first principles. No prior CS background needed.

Real-world projects

Build portfolio-grade work — not toy exercises. Every project has a real outcome.

AI-assisted hints

Stuck? Get smart, contextual hints instead of generic "answer pages".

Track your progress

Modern dashboard. Streaks, completion, and skill maps that actually motivate.

Quizzes that stick

Spaced-repetition checkpoints reinforce what you learn — not what you memorize.

The learning loop

Read. Run. Master.

A tight loop between explanation and execution — the way developers actually learn on the job.

01

Read the concept

Concise, jargon-free explanations. We respect your time.

02

Run the code

Edit and execute every example inline. Break things — that's how you learn.

03

Solve a challenge

Apply the concept on a small, focused problem with instant feedback.

04

Build a mini-project

Combine multiple concepts into something you'd put on your resume.

main.py
12345678
# Find prime numbers up to N
def primes(n):
    sieve = [True] * (n + 1)
    for i in range(2, int(n**0.5) + 1):
        if sieve[i]:
            sieve[i*i::i] = [False] * len(sieve[i*i::i])
    return [i for i in range(2, n+1) if sieve[i]]
print(primes(30))
stdout[2, 3, 5, 7, 11, 13, 17, 19, 23, 29]
Your learning path

From first line
to shipped product.

A four-stage journey designed by industry engineers, optimized for retention and real-world readiness.

01

Foundations

Variables, control flow, functions, data structures — the bedrock.

  • Python syntax
  • Loops & logic
  • Lists, dicts, sets
  • Error handling
02

Data & SQL

Wrangle real datasets, query databases, build pipelines that scale.

  • SELECT · WHERE · JOIN
  • Pandas mastery
  • Data cleaning
  • ETL patterns
03

AI & APIs

Connect your code to the real world — APIs, ML models, automation.

  • REST APIs
  • OpenAI / LLMs
  • Automation scripts
  • Web scraping
04

Cloud & Ship

Deploy, monitor, and scale. Become an engineer companies hire.

  • AWS fundamentals
  • Docker & CI/CD
  • Production patterns
  • Capstone project
Stack you'll learn

The tools real engineers ship with.

No fluff curriculum — only technologies that show up on actual job descriptions.

🐍
Python
CORE
🗃️
SQL
DATA
📊
Pandas
ANALYSIS
☁️
AWS
CLOUD
🐳
Docker
DEVOPS
⚙️
Linux
SYSTEMS
🔧
Git
VERSIONING
🌐
REST APIs
INTEGRATION
🤖
ML / AI
FUTURE
📦
Kubernetes
SCALE
🔄
CI/CD
PIPELINES
📈
Analytics
INSIGHTS
Learner stories

Real outcomes,
real careers.

What learners say after working through the platform.

Finally a coding platform that doesn't waste my time. The playground is instant, the explanations are tight, and I went from zero Python to building a data pipeline in three weeks.
PA
Priya A.
DATA ANALYST · BANGALORE
I'd tried five other platforms before this. Code With Raman is the first one that respected my intelligence and got me actually shipping. The roadmap is gold.
RM
Rahul M.
SDE-1 · REMOTE
The SQL playground alone is worth it. Practicing on real tables in the browser made joins finally click for me — something tutorials never managed in two years.
SK
Sneha K.
BACKEND ENGINEER · PUNE
Ready when you are

Stop watching tutorials.
Start building.

Free forever. No credit card. No signup required. Open the playground and write your first line of code in 30 seconds.