IntelliGISLab
Bootcamp in Pune 

Kickstart your career in geospatial analytics and data visualization
with our hands-on training program!
Pune, India (offline & online)
Free program
Apply now
Registration is open
Are you a student or a recent graduate looking to gain hands-on experience with cutting-edge technology in the automotive industry?  

Join our IntelliGISLab Bootcamp in Pune and, guided by Intellias mentors, learn how to build a geospatial data platform that supports in-car navigation systems. Apply now to gain practical experience, develop valuable skills, and become part of the future of location intelligence.
Rock the bootcamp, and you might be offered an Associate Engineer role — when opportunities arise!

Why IntelliGISLab?

Take part in our bootcamp to receive domain-specific training 
in mobility (automotive) and knowledge related to geospatial analytics and data visualization.
Participate in the development and maintenance of Java applications. Learn and follow software development best practices
Experience project-like environment, while engaging in agile teamwork under the 
guidance of experienced Intellias leads/mentors
Get the chance to join Intellias as an Associate Developer —  for the top graduates, once a vacancy opens up
Acquire practical experience in applying theoretical knowledge by  receiving feedback and code review on your practical exercises throughout the course

Who is this course for?

Students from Pune or nearby areas (graduating in 2025/26) who:

  • are passionate about spatial data, maps, analytics, and software development
  • are eager to learn by doing and open to new technologies
  • are available at least for 10 hours per week for 2-2.5 months
  • can visit Intellias office in Pune several times per bootcamp
  • have basic programming or data analysis knowledge (Java, OOP, SQL)
  • want to experience working in a setting similar to an R&D team

Skills & Knowledge to Get Started

Required qualifications and experience
Good to know
Java 21 + syntax
OOP
Data structures & algorithms
Git
English – B2 level+
Spring or Hibernate
SQL or NoSQL databases
Code testing
JTS library
Linux

Learning Plan

10 participants
2 mentors
Review of individual student's practical tasks
Duration: up to 3 months
Practical tasks in Agile Teams
A combination of online & offline components
Regular daily/weekly calls

Meet your Mentors

Dmytro Kovalov
Senior Java Engineer
I have been working in automotive map data processing for more than 7 years. Sharing this expertise excites me, as it enables students to better understand and navigate the complexities of the field.My lessons will prioritize hands-on exercises over theoretical lectures, aiming for a more practical approach to understanding map data processing.

To become an expert, you should keep learning, practice your skills, and talk to other people in your field. Stay committed and focused.
Oleksandr Kushnir
Senior Delivery Manager/Project Manager
I am a delivery manager with an automotive technical background.

I've been working in automotive map creation for almost six years. I'm excited to spread my knowledge in NDS and help our Intellias Maps Department grow and expand.

To master something, keep learning and practicing, and never avoid challenges. Embrace feedback and learn from every experience – the wins and the not-so-wins.
Oleh Drabych
Java Engineering Lead
I have more than ten years in IT, and I like to share knowledge about valuable instruments that are used in cartographic data processing.

Geography is a passion of my life. And even when I became a Java developer, I preferred projects with the map domain.

My lesson will demo the abilities of Java geometry libraries.

I believe that to become an expert you should do what you like.
Olena Slieptsova
Product Manager/Project Manager
I have a master's degree in computer science and more than 10 years' experience in IT on different projects and positions. But automotive segment and especially map making became my big passion.

On one of my lessons, we will get an understanding of the domain and product: why do we need maps and how they can change the world we are living in. On another one we dive into software development life cycle and peculiarities of processes in the automotive filed.

I believe that to become an expert you should have hungry mind and love what you do
Sergii Likhman
Principal Automation Test Engineer (Python)
I started my career as a software developer for financial services. But for the last 5 years I'm working in automotive industry, and I find this area much more interesting, dynamic and challenging.

During the course I will inform you about the most recent version of the navigation data standard which is in high demand in the automotive area. During my classes, I will provide a quick overview of the topic and then focus on real-life use-cases and examples.

I believe that to become an expert you should work hard and be passionate about what you're doing.
Andrii Dziuba
Senior Java Engineer
I have been working in automotive map data processing for more than 7 years. Sharing this expertise excites me, as it enables students to better understand and navigate the complexities of the field.

My lessons will prioritize hands-on exercises over theoretical lectures, aiming for a more practical approach to understanding map data processing.

To become an expert, you should keep learning, practice your skills, and talk to other people in your field. Stay committed and focused.
Volodymyr Hreniukh
Java/Scala engineer with a biological scientific background
More than eight years of working with students and five years of programming have proven to me that "Patriae decori civibus educandis."

If data can control us, then statistics make it possible for us to control data.
My approach is practice, deep immersion in theory, and then more practice.


To become an expert, you should know the boundaries of your expertise—and constantly shift them.
Dmytro Kovalov
Senior Java Engineer
I have been working in automotive map data processing for more than 7 years. Sharing this expertise excites me, as it enables students to better understand and navigate the complexities of the field.My lessons will prioritize hands-on exercises over theoretical lectures, aiming for a more practical approach to understanding map data processing.

To become an expert, you should keep learning, practice your skills, and talk to other people in your field. Stay committed and focused.
Oleksandr Kushnir
Senior Delivery Manager/Project Manager
I am a delivery manager with an automotive technical background.

I've been working in automotive map creation for almost six years. I'm excited to spread my knowledge in NDS and help our Intellias Maps Department grow and expand.

To master something, keep learning and practicing, and never avoid challenges. Embrace feedback and learn from every experience – the wins and the not-so-wins.
Oleh Drabych
Java Engineering Lead
I have more than ten years in IT, and I like to share knowledge about valuable instruments that are used in cartographic data processing.

Geography is a passion of my life. And even when I became a Java developer, I preferred projects with the map domain.

My lesson will demo the abilities of Java geometry libraries.

I believe that to become an expert you should do what you like.
Olena Slieptsova
Product Manager/Project Manager
I have a master's degree in computer science and more than 10 years' experience in IT on different projects and positions. But automotive segment and especially map making became my big passion.

On one of my lessons, we will get an understanding of the domain and product: why do we need maps and how they can change the world we are living in. On another one we dive into software development life cycle and peculiarities of processes in the automotive filed.

I believe that to become an expert you should have hungry mind and love what you do
Sergii Likhman
Principal Automation Test Engineer (Python)
I started my career as a software developer for financial services. But for the last 5 years I'm working in automotive industry, and I find this area much more interesting, dynamic and challenging.

During the course I will inform you about the most recent version of the navigation data standard which is in high demand in the automotive area. During my classes, I will provide a quick overview of the topic and then focus on real-life use-cases and examples.

I believe that to become an expert you should work hard and be passionate about what you're doing.
Andrii Dziuba
Senior Java Engineer
I have been working in automotive map data processing for more than 7 years. Sharing this expertise excites me, as it enables students to better understand and navigate the complexities of the field.

My lessons will prioritize hands-on exercises over theoretical lectures, aiming for a more practical approach to understanding map data processing.

To become an expert, you should keep learning, practice your skills, and talk to other people in your field. Stay committed and focused.
Volodymyr Hreniukh
Java/Scala engineer with a biological scientific background
More than eight years of working with students and five years of programming have proven to me that "Patriae decori civibus educandis."

If data can control us, then statistics make it possible for us to control data.
My approach is practice, deep immersion in theory, and then more practice.
To become an expert, you should know the boundaries of your expertise—and constantly shift them.

Application Process

Here's your chance to test your skills and join our tech journey!

Application Form

No need to worry if you lack work experience yet. You can upload a document showcasing your hard skills, educational achievements, and participation in extracurricular activities such as hackathons and math/IT Olympiads.
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FAQ

How will you contact me after I fill in the registration form?
You will receive an email containing an invitation to register for the offline test ask. Please ensure that you enter all the information accurately, and also remember to check your "Spam" folder. Occasionally, emails might end up there.
Is it possible to start working at Intellias after graduating from this course?
If, upon completing the course, the company has Junior or Trainee level positions available, we will extend an opportunity to the top graduates of the course to participate in the interview process.
What are the key technologies to be learned during the course?
Which project will we be learning through in the course?
Project Overview: Statistic Framework

Statistic Framework is an internal geospatial analytics platform developed at Intellias to help teams working with map data easily track, compare, and understand changes in spatial features over time.  

It’s designed for developers, data analysts, and QA teams who work with location-based data and need reliable insights for quality checks, regression tracking, or product evolution monitoring.  

The system supports core geospatial formats—Points, Lines, Polygons, Multi-geometries, and GeometryCollections (GeoJSON-compliant)—and offers:  
  • Flexible data storage for spatial features
  • Automated preprocessing to enrich geometry (e.g., length, area)
  • Powerful analytics to compare versions, detect changes, and merge complex geometries
  • Dashboard-ready outputs to visualize spatial differences and trends

Whether you’re testing map updates, validating dataset versions, or building spatial insights, the Statistic Framework provides a solid, scalable foundation for real-world geospatial analytics.