Learn · Roadmaps

Roadmaps From Beginner to Job-Ready

Clear, step-by-step learning paths in the most in-demand tech skills — each anchored to real projects, not just theory. Pick a path and always know what to learn next.

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No guessworkEvery step is ordered, so you always know what's next.

Project-basedEach roadmap ends in real projects you can show.

Job-focusedBuilt around what employers and clients actually need.

Explore Roadmaps

7 Paths to a Job-Ready Skill

Every path is sequenced the way founder Ashutosh Kumar has mentored developers one-on-one since 2024 — step by step, project by project. See where each one leads on the career paths page. Never coded before? Start with Programming Fundamentals first. Preparing for interviews? See Data Structures & Algorithms. Want to build with AI? See AI for Software Developers. Want reliable prompts? See Prompt Engineering. Want to grow a brand instead? See Digital Marketing. Want to rank higher on Google? See SEO. Want to design visuals? See Graphic Design. Want to edit videos? See Video Editing. Want to build mobile apps? See Android App Development. Want to build a full SaaS product? See SaaS Application Development. Want your app to install like a native app? See Progressive Web Apps. Curious how the mentorship actually works? See How Learning Works.

Beginner → Job-Ready Full-Stack Developer

Full-Stack Web Developer

Build complete web applications end to end — frontend, backend and database.

1
Stage 1

Foundations

HTML5, CSS3, responsive design, Git & GitHub

2
Stage 2

JavaScript

Core JS, ES6+, DOM, async/await, fetch & APIs

3
Stage 3

Frontend Framework

React.js, components, hooks, state management

4
Stage 4

Backend

Node.js, Express, REST APIs, authentication

5
Stage 5

Databases

MongoDB & SQL, data modelling, CRUD

6
Stage 6

Full-Stack Projects

Build & connect frontend + backend + DB (MERN)

7
Stage 7

Deployment

Hosting, environment setup, CI/CD basics, going live

You finish able to: Build and deploy a full web app on your own.

See the Full-Stack Developer career path Go deeper with the Full-Stack Web Development course Want to focus on just the backend? See Backend Engineering
Beginner → Confident Python Developer

Python Developer

Master Python from basics to real applications and automation.

1
Stage 1

Python Basics

Syntax, data types, loops, functions

2
Stage 2

Core Concepts

OOP, modules, file handling, error handling

3
Stage 3

Data Structures

Lists, dicts, sets, algorithms & problem solving

4
Stage 4

Libraries

NumPy, Pandas, requests, working with APIs

5
Stage 5

Applications

Automation scripts, web scraping, small tools

6
Stage 6

Web/Backend (optional)

Django or Flask basics, REST APIs

7
Stage 7

Projects

Real Python projects for your portfolio

You finish able to: Write real Python programs, automate tasks, and build backends.

See the Python Developer career path
Beginner → Modern Frontend Developer

Frontend Developer

Design and build fast, responsive, beautiful user interfaces.

1
Stage 1

Structure & Style

HTML5, CSS3, Flexbox, Grid, responsive design

2
Stage 2

JavaScript

Core JS, DOM manipulation, events, ES6+

3
Stage 3

Tooling

Git, npm, browser dev tools

4
Stage 4

React

Components, props, state, hooks, routing

5
Stage 5

Styling at Scale

Tailwind CSS, component libraries, animations

6
Stage 6

APIs

Fetching data, connecting to backends, state management

7
Stage 7

Projects

Responsive, real-world UIs for your portfolio

You finish able to: Build modern, responsive, production-quality interfaces.

See the Frontend Developer career path Go deeper with the Frontend Development course
Beginner → Data Analyst

Data Analytics

Turn raw data into insights that drive decisions.

1
Stage 1

Foundations

Excel/Sheets, data thinking, basic statistics

2
Stage 2

SQL

Queries, joins, aggregations, real database work

3
Stage 3

Python for Data

Pandas, NumPy, data cleaning

4
Stage 4

Visualization

Charts, dashboards, storytelling with data

5
Stage 5

BI Tools

Power BI / Tableau basics

6
Stage 6

Projects

Real datasets, end-to-end analysis reports

You finish able to: Clean, analyse and present data that answers real questions.

See the Data Analyst career path
Beginner → Data Scientist

Data Science

Go beyond analysis into prediction and machine learning.

1
Stage 1

Programming & Stats

Python, statistics, probability

2
Stage 2

Data Handling

Pandas, NumPy, data cleaning & wrangling

3
Stage 3

Visualization

Matplotlib, Seaborn, EDA

4
Stage 4

Machine Learning

Regression, classification, scikit-learn

5
Stage 5

Advanced ML

Model evaluation, feature engineering, tuning

6
Stage 6

Deep Learning (intro)

Neural networks basics, TensorFlow/PyTorch

7
Stage 7

Projects

End-to-end ML projects with real data

You finish able to: Build, train and evaluate machine learning models.

See the Data Scientist career path
Beginner → AI Application Developer

AI Engineering

Build applications powered by modern AI and large language models.

1
Stage 1

Foundations

Python, APIs, how LLMs work (concepts)

2
Stage 2

Working with LLMs

LLM APIs, prompts, responses, tokens

3
Stage 3

Building AI Apps

Chatbots, assistants, integrating AI into apps

4
Stage 4

Advanced

RAG (retrieval), embeddings, vector databases

5
Stage 5

AI Agents

Tool use, automation, multi-step agents

6
Stage 6

Deployment

Putting AI apps into production

7
Stage 7

Projects

Real AI-powered applications for your portfolio

You finish able to: Build and ship real AI-powered applications and agents.

See the AI Engineer career path Go deeper with the AI for Software Developers course
Beginner → Professional Prompt Engineer

Prompt Engineering

Learn to get reliable, high-quality results from AI systems.

1
Stage 1

Fundamentals

How LLMs interpret prompts, core principles

2
Stage 2

Techniques

Zero-shot, few-shot, chain-of-thought, role prompting

3
Stage 3

Structuring

Clear instructions, formatting, constraints, examples

4
Stage 4

Advanced

System prompts, guardrails, reducing hallucinations

5
Stage 5

Applied

Prompts for coding, writing, data, automation

6
Stage 6

Real Use

Building prompt-driven workflows and tools

You finish able to: Design professional prompts and prompt-based workflows.

See the Prompt Engineer career path Go deeper with the Prompt Engineering course

Not Sure Which Roadmap Fits You?

Book a free session and we'll help you pick the right path based on your goal, background and the time you have.

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Frequently Asked Questions

Roadmap Questions, Answered

The roadmaps themselves are a free guide to what to learn and in what order. Our paid offering is 1:1 mentorship, project reviews and career guidance that support you along the path.

No. Every roadmap starts from the beginner stage, so you can begin even with zero coding experience and build up step by step.

It depends on your pace and how much time you give it. With consistent effort, most learners move through a roadmap in a few months — mentorship helps you go faster and avoid getting stuck.

Yes. Alongside the technical path, we offer career guidance — resume reviews, portfolio feedback and interview prep — through our mentorship program.