From your first line of Python to a job in data and AI.

One-on-one live coaching in Python, Data Analysis, Cloud Data Engineering and AI/ML. No crowded batches, no video libraries. Every class is built around one student and their pace.

Book your free demo class Compare programs

No payment, no commitment. Meet your mentor before you decide.

5+years in data engineering
300+students mentored globally
3job roles, analyst to AI

Choose the pace that fits you

Same curriculum, same capstones and certificates. Only the pace changes. Select a program to see its session plan below, or open the full roadmap.

Stage 1 · Foundation

Python Core

Milestone: Core Python ProgrammerWrite automation scripts and enter any data track.

Programming foundations

  • Setup, IDEs, first program
  • Variables, data types, operators
  • Strings and formatting

Control flow

  • if, elif, else
  • Loops and patterns
  • Comprehensions

Data structures

  • Lists, tuples, sets, dicts
  • Nested structures
  • Choosing the right one

Functions and modules

  • Arguments, scope, recursion
  • Lambda, map, filter
  • Packages, pip, venv

Object-oriented Python

  • Classes and objects
  • Inheritance, magic methods
  • Mini OOP project
Stage 2 · Data Analyst track

Data Analysis

Unlocks: Data Analyst₹4-8 LPA · $55-75K entry range*

Files, databases and SQL

  • CSV, JSON, Excel handling
  • SQL essentials, MySQL, SQLite
  • REST APIs

NumPy and Pandas

  • DataFrames and cleaning
  • GroupBy, joins, reshaping
  • Time-series basics

Visualization and EDA

  • Matplotlib, Seaborn, Plotly
  • Power BI intro
  • Capstone: real-dataset analysis
Stage 3 · Data Engineer track

Cloud and Data Engineering

Unlocks: Data Engineer₹6-14 LPA · $80-110K entry range*

Cloud and AWS with Python

  • IAM, S3, EC2, Lambda
  • Automating AWS with boto3
  • Cost-safe free-tier practice

ETL and data pipelines

  • Airflow orchestration
  • PySpark essentials
  • Glue and Athena

Warehousing and capstone

  • Warehouse concepts, Redshift
  • Batch vs streaming
  • Capstone: end-to-end cloud pipeline
Stage 4 · Data Scientist track

AI and Machine Learning

Unlocks: Data Scientist / AI-ML Engineer₹8-15 LPA · $95-130K entry range*

Statistics and math for ML

  • Probability and distributions
  • Hypothesis testing
  • Correlation

Machine learning

  • Regression and classification
  • Evaluation and tuning
  • scikit-learn projects

Deep learning and GenAI

  • Neural networks, Keras
  • LLM APIs, prompt engineering
  • Capstone: end-to-end DS project

Every stage ends at a hireable milestone

You don't have to wait until the end. Job eligibility begins once Stage 2 is complete, and each stage after raises the role and the pay ceiling.

MilestoneYou becomeSkills gainedRoles you can apply forEntry range*
Stage 1Core Python ProgrammerPython, OOP, problem solving, automationInternships, scripting work-
Stage 2Data AnalystSQL, Pandas, NumPy, EDA, dashboardsData Analyst, Business Analyst, MIS Analyst₹4-8 LPA
$55-75K
Stage 3Data EngineerAWS, boto3, Airflow, PySpark, ETLData Engineer, Cloud Data Engineer, ETL Developer₹6-14 LPA
$80-110K
Stage 4Data Scientist / AI-ML EngineerStatistics, scikit-learn, deep learning, GenAIData Scientist, ML Engineer, AI Engineer₹8-15 LPA
$95-130K

*Indicative entry-level ranges. Actual offers vary by city, company, portfolio strength and interview performance.

Learn from someone who does this job every day

Prabhanjan has spent 5+ years across the exact roles this roadmap leads to and has mentored 300+ students globally.

  • Data & AI Engineer, MapUpBuilding large-scale data and AI systems in production (current role)
  • Senior Coding Instructor, CodingalTaught programming to hundreds of students worldwide
  • Data Analyst, Jade GlobalDelivered analytics and reporting for enterprise clients
I built Praksh Academy around one belief: anyone can master data and AI if the path is planned well and someone walks it with them. I have walked this road myself, from my first line of Python to AI systems in production, and now I walk it again with every student, one session at a time. Prabhanjan, Founder

What students say

Real feedback from students across the Explorer, Builder and Trailblazer tracks — from first-time coders to working professionals, in India and abroad.

Included in every program

One-on-one live classes

Each hour is 20 minutes of teaching and 40 minutes of guided hands-on coding.

Recorded sessions

Rewatch any class, anytime.

Assignments after every session

Reviewed with personal feedback.

Study materials

Notes, cheat-sheets and references for each session.

28 bonus doubt sessions

Two per module, at no extra cost.

Praksh Academy account

Recordings, materials and progress in one place.

Parent-teacher meets

A progress review with scorecards after every module.

Module assessments

A quiz and practical test so progress is measured.

Capstone projects

One per track, published to your GitHub portfolio.

Certificates

For every module, plus Analyst, Engineer and Scientist track certificates.

Career support

Resume, LinkedIn, mock interviews and question banks.

No paid software

Python, VS Code, Jupyter, MySQL and AWS Free Tier are all free.

Four steps to get started

  1. Book a free demoPick a slot, meet the mentor, see the teaching style live.
  2. Level assessmentA friendly check decides your path: Explorer, Builder or Trailblazer.
  3. Personal scheduleYour weekly plan is set on days that fit your routine.
  4. Begin the journeyEvery session is tracked, recorded and measured.

Your first class is free

No payment, no commitment. Just a great first class.

Book your free demo class