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Fintech Bootcamp
Learn FinTech, or, Financial Technology with our FinTech bootcamp. Choose to focus in areas including blockchain, payments, lending and more.
Book a Demo Class Now
  • Course available in Mumbai and Bangalore
  • Instructor-Led Class Room and Online Training
  • 24*7*365 Coding Support
  • Lifetime Membership to our Coding Community
  • Week Day & Week End Batches
  • New York Curriculum in India

Get Details

This Course Includes

  • 400+ hours of Live Classes
  • Live Projects | Industry Cases
  • Placement Assistance
  • Loan and 0% EMI Payment Option
  • 24/7 coding support

Duration

Full Time: 12 Weeks

Part Time: 24 Weeks

Next Batch

 FT: 3rd Jul | 7th Aug | Sept 4th

PT: 29th June | 27th July | 31st Aug

Careers

BFSI Technology Industries, Banks, Financial Start-ups, Financial Services Companies

Highlights

480 Hours Live Classes

200+ Coding Assignments

Fintech Bootcamp

In order to build financial applications, we’ll first make sure your coding skills are sharp. After you have mastered your programming skills with our time-tested Python full-stack development curriculum, we’ll enhance your FinTech industry knowledge and its technical tools. With this, you’ll have have better framework to decide which area(s) of FinTech you will address via extensive project work.

Areas of FinTech we’ll cover on conceptual and technical levels include: lending, payments, cryptocurrency/blockchain, KYC, insurance (InsurTech). We’ll also introduce you to some popular platforms and widely used APIs in the industry including: Xignite, Yodlee/Envestnet, Reuters, Bloomberg, IBM, Monax, others.

Additionally, we’ll help you understand the data science concepts that are being used by FinTech companies so that you can apply these to your project work. Topics include: Pandas data analysis, machine learning and sentiment analysis, time series regression.

Download Syllabus
Phase 1 - 1
Python Basics

  • Runtime Environment Setup, Git and GitHub Repository Setup
  • Linux Development Environment, Bash Commands, Linux File System, Navigating the terminal
  • Python Installation, Running Python Programs using Sublime / IDLE / nano
  • Programming Fundamentals: Introduction to python, Data Structures, File Operations, Iteration, Control flow, Functions and Functional Programming, Built In Functions, Classes and Class Organization
  • Best Practices: Keeping it simple, DRY code, naming conventions, comments and documentation
  • Python Standard Library (standard libraries typically include definitions for commonly used algorithms, data structures, and mechanisms for input and output)
Phase 1 - 2
 Computer Science, Beyond the basics

  • Introduction to Computer Science and Computer Organization
  • Big O Notation, Data Structures, Algorithms (Sorting and Searching)
  • Data Formats – XML, JSON
Phase 1 - 3
Phase 1 - 4

• Introduction to Web Scraping

• Beautiful Soup and Selenium

• Phase 1 Assessment

Phase 2 - 1

Review phase 1 Assessment

• Web Development Introduction

• Web Scraping using beautiful soup and selenium

• Introduction to HTML, CSS and Java Script

Phase 2 - 2
  • Introduction to HTML, CSS, and JavaScript

• Higher Order Functions. Call-backs, Closure

• JavaScript Scope

• Document Object Model

• Event Listeners

• jQuery

• CSS Specificity

• CSS Pseudo Classes

• CSS Positioning

• CSS Media Queries

• CSS Grid Systems

• CSS Responsive Design

• Chrome Dev Tools

Phase 2 - 3

• Setting up virtual environments

• Introduction to Flask

• Request Response Cycle

• What is the Request Object?

• HTML Forms

• Jinja Templating

• HTTP Verbs

• Sending a response in different formats. (JSON, HTML Templates)

• Building a full stack web application that will make requests to HTTP API’s, and persist

information in a SQL database. Utilize HTML, CSS, JavaScript, AJAX, Flask, and SQL

Phase 2 - 4

• Introduction to Django

• Django Directory Structure

• Django Models

• Django Forms / Templating

• Building more full stack applications

• Phase 2 Assessment

Phase 3 - 1

We’ll develop your industry knowledge and its technical tools so that you’ll have a better

framework to decide which area(s) of FinTech you would like to address in your projects. There

will be heavy emphasis on:

• Conceptual overview of the FinTech industry and areas within it including lending,

payments, cryptocurrency/blockchain, KYC, insurance (InsurTech)

• Technology trends in FinTech and their applications. We’ll introduce you to popular

platforms and some widely used API’s within the

Phase 3 - 2

Understand the Data Science concepts that are being used by FinTech

companies so that you can apply these to your project work

• Pandas data analysis

• Machine Learning and Sentiment analysis

• Time Series regression

Phase 3 - 3

Students have to finish at least two final FinTech Projects in order to graduate, one of which

needs to be a group project. Many students end up completing three projects to showcase to

employ.

Career Focus

Project based curriculum lets you solve real problems for companies and build a portfolio of work to showcase

Regular campus visits by company founders and industry veterans, providing tips and industry insights

Mentorship and internship programs

Resume and self-branding help from Phase 1