Worried about landing an Internship this summer?

Introducing Summer Bootcamp
PAY LATER PROGRAM
Choose Internship
🎊

Your application is received!


Congratulation! Your application has been received.
Turn your Summers into a learning and skillifying season this year.
Firstname
Lastname
Email
Graduation Year
Contact Number

Internship
Certificate

Upto-7
Live Projects

6-8 Weeks
Duration

Live | Online
Mode of Delivery


Why Choose Summer Internship Bootcamp?

To make you

industry-ready. tech-ready. placement-ready.

Starts 31 May '24
C++ Data structures & Algorithms with Frontend
Schedule: Sat & Sun (07:00 PM - 11:00 PM)
Highlights
  • Internship Certificate
  • Free Interview Questions
  • Relevant Industry Experience
  • Project based learning (7 Projects)
  • Learn under mentors of Top Tech Companies
  • 60+ hours of Learning
  • Be a part of a decade old Coders Community.
  • Mode of Delivery: LIVE + recorded
  • Resume Building Sessions
  • 6 Months access to content after the internship
  • Job + Internship Assistance
  • Certification for Linkedin profile
  • Developer CV

Course Fee ₹2,200/-

Starts 31 May '24
C++ Fullstack Web Devlopment (MERN)
Schedule: Sat & Sun (07:00 PM - 11:00 PM)
Highlights
  • Internship Certificate
  • Free Interview Questions
  • Relevant Industry Experience
  • Project based learning (7 Projects)
  • Learn under mentors of Top Tech Companies
  • 60+ hours of Learning
  • Be a part of a decade old Coders Community.
  • Mode of Delivery: LIVE + recorded
  • Resume Building Sessions
  • 6 Months access to content after the internship
  • Job + Internship Assistance
  • Certification for Linkedin profile
  • Developer CV

Course Fee ₹2,200/-

Starts 31 May '24
C++ Data Science with ML & Generative AI
Schedule: Sat & Sun (07:00 PM - 11:00 PM)
Highlights
  • Internship Certificate
  • Free Interview Questions
  • Relevant Industry Experience
  • Project based learning (7 Projects)
  • Learn under mentors of Top Tech Companies
  • 60+ hours of Learning
  • Be a part of a decade old Coders Community.
  • Mode of Delivery: LIVE + recorded
  • Resume Building Sessions
  • 6 Months access to content after the internship
  • Job + Internship Assistance
  • Certification for Linkedin profile
  • Developer CV

Course Fee ₹2,200/-

Starts 31 May '24
C++ Data Analytics with Prompt Engineering & Generative AI
Schedule: Sat & Sun (07:00 PM - 11:00 PM)
Highlights
  • Internship Certificate
  • Free Interview Questions
  • Relevant Industry Experience
  • Project based learning (7 Projects)
  • Learn under mentors of Top Tech Companies
  • 60+ hours of Learning
  • Be a part of a decade old Coders Community.
  • Mode of Delivery: LIVE + recorded
  • Resume Building Sessions
  • 6 Months access to content after the internship
  • Job + Internship Assistance
  • Certification for Linkedin profile
  • Developer CV

Course Fee ₹2,200/-

Your Learning Journey at Career Bootcamp!

DSA with Frontend 3+4 Projects

Fullstack Web Devlopment (MERN) 7 Projects

Data Science with ML & Generative AI 6 Projects

Data Analytics with Prompt Engineering & Generative AI 6 Projects

CONTACT US
+91-9999579111
OR

Syllabus to make you Industry Ready!

Syllabus
  • Welcome aboard
    Welcome to the course
  • Flowcharts and Psuedocode
    This helps you to understand how to convert logic and write it in the form of diagrammatic and textual way.
  • Basics of Programming
    For any language the first and the most important thing to learn is the syntax, variables, loops, and conditionals. In this section, we will cover how to convert our logic to C++ Code.
  • Operators in C++
    To help you understand different types of operators such as Arithmetic, Compund assignment, Bitwise, and Logical operators.
  • Functions
    In this section, you will learn to write code in a modular way to help you reuse the code in different C++ files and make it more readable and organized.
  • Arrays
    This is the one of most important data structure that is generally easy to understand but algorithms and concepts of this topic can be very tricky and it is asked in almost every tech company. Algorithms such as Binary Search, Sorting, Maximum Subarrays, and Searching are must to do in order to get a good grasp of this topic.
  • Character Arrays
    This is another type of an array, just that you need to understand how to handle strings using character arrays, It will help you understand how the variation of data type in array change the way we handle this data structure.
  • Pointers
    This most important topic to understand in order to move towards the advanced data structures, it is just like another datatype to help store address of memory we create to store data.
  • Algorithms STL
    STL is one of the most useful thing that to write codes in a faster way, this is something comes very handy in competitive programming and online coding practise sites.
  • Bitmasking
    In this section, we will understand how Bitwise operators like AND, OR, XOR, and NOT to work on machine code to help write the programs that works faster, since computer understands machine code.
    This concept is also very useful in Recursion as well as Dynamic programming advanced concepts.
  • Strings
    It's an alternative to Character Array, Strings data type helps in handling string easier and faster. In depth understanding of this concept becomes easier after understanding OOPs concepts.
  • Recursion Introduction
    Inorder to understand Recursion we must understand Recursion, so this is what is focussed here i.e. write codes using Recursion.
    It is used in Dynamic Programming and as well as in data structure such as Trees, Graphs, and Heap etc.
  • Deep Diving into recursion
    In this section, we will start exploring how to form recurrence relations using problem statements and mainly discussing recursion on arrays and strings.
  • Recursion on Subsets
    In this section, we will understand how to solve algorithms such as phone search and advanced concept of Knapsack that is mostly asked in Interviews.
  • Backtracking
    It is the most important concept to understand in Recursion and it is thoroughly checked in Interviews and Technical Rounds. If one has to master recursion they need to master backtracking.
  • Time and Space Complexity
    It helps us to compare the algorithms on the basis of Time and Space it takes to run the code and help us to master how to write codes by considering constraints of the problem.
  • Object Oriented Programming
    One of the most important topic to build data structures, this is not only used in every data structure but also help us to understand how to associate the real world with programming language.
  • Linked List
    In this topic we learn how to store data in a non-contiguous manner and we understand how the Linked List can work in a better time complexity that other data structures in some operations.
  • Stack
    It follows the principle of Last In and First Out, although this data structure can be easily understood but the concept of LIFO can be used to solve some typical problems such as Histogram Area, Stock Span, and Balanced Parantheses etc.
  • Queues
    This data structure works just like a normal queue does and it is mainly used as a helping data structure in Trees and Graphs.
  • Binary Trees and Binary Search Trees
    In this data structure, we learn how to store data in a hierarchical format. It is one of the most important topic from Interview point of view and questions from this topic is frequently asked in companies such as Amazon, Microsoft, Flipkart and Google etc.
  • Heap
    This data structures helps you to understand how the infinite stream of data coming can be accessed to fetch the useful information, for example, find the most sold products on any website?
  • Hashmap
    It helps us to understand how we can store, update and delete the data in constant time. It is majorly used in Dynamic Programming and Graphs to help us make the time complexities of the algorithms better.
  • Graphs
    The most popular data structures in companies like Direct-i, Google, and Arcesium etc.
    It is usually considered tough because of the dependency on other data strucutres such as queue, hashmaps, sets, and heap etc. but once you get a taste of how to apply these things together it will make you a better programmer.
  • Tries
    It helps us to search in constant time and incase you want to use auto suggestions features of Amazon, Flipkart or other sites search bar this is the solution.
    Many problems such as Maximum-Xor, and Maximum Sum etc. uses tries to help improve complexity of the problem.
  • One Dimensional Dynamic Programming
    We learn how we can improve the time complexities of Recursive algorithms drastically using concepts like Top Down approach. Also we convert out Top down approach to bottom up approach using the recurrence relation and DP concept, it's exactly what is required for the master DP.
  • Two Dimensional Dynamic Programming
    The most important concepts of DP are Knapsack, Optimal Game strategy, and solving string problems using 2D storage there by improving their complexities multiple folds.
  • Greedy Algorithms
    This is where you learn how being greedy can benefit you to solve certain problems in a faster way. The main point of focus here is to understand where we can apply Greedy over Dynamic Programming.
  • Top Tech Company Questions
    Practise from the most asked questions in companies such as Amazon, Facebook, Microsoft, LinkedIn, and Google etc. Become the programmer to crack any of your dream company.
  • Google, Amazon, GoJek, Flipkart, Uber, Amex Interview mantras
    This will give you an idea of how you should prepare yourself for the final interviews and prepare yourself for everything that you may face during the placement process of any company.
  • Master HTML
    In this you will learn how to create the structure and the template of the webpages and websites.
  • Mastering CSS
    In this you will learn how to add styles and make your webpages look stylish and responsive.
  • Basics of Programming
    For any language the first and the most important thing to learn is the syntax, variables, loops, and conditionals. In this section, we will cover how to convert our logic to Code.
  • Mastering JavaScript
    In this you will understand how to add the functionality to you HTML and CSS webpage and websites.
  • Functions
    In this section, you will learn to write code in a modular way to help you reuse the code in different files and make it more readable and organized.
  • The Internet
    Introducing web and learning about internet,Understanding web and http, learning all about Web vs Internet,Learning about client-server architecture,Understaning frontend and backend.
  • What do HTML/CSS/JS do?
    Understanding frontend technologies - HTML, CSS, JS
  • Setting Up Our Developer Environment
    Setting up VS - Code - Installing various extensions( live-server etc)
  • Introduction to HTML
    First brush with HTML, understaning html and role of html in creating a web page,Writing our first html code,Understanding HTML Boilterplate , HTML-5 syntax and HTML Tree,Looking for documentation on MDN and W3School.
  • Learning HTML Tags
    Learning heading, paragraph and other useful html tags,Understanding Blocks vs Inline elements,Entity codes, working with anchor tags, various use cases of anchor tags.
  • HTML Forms
    Taking input from the using various HTML Input Elements and learning all about HTML Forms
  • HTML Tables
    Creating tables in HTML
  • Media Elements-Image,Audio,Video,iframe
    Learning how to work with images, audio, video and iframe elements in HTML.
  • HTML Sementic elements
    Learning about HTML Sementic Elements(nav, article, section, header, main, footer, aside, figure and figcaption).
  • Introduction to CSS
    Introducing CSS and understanding the role of CSS,Adding CSS to out HTML Page,Learning all about selectors (Basic + Advanced Selector),Understaning inheritance of various properties and Precedence of selectors in CSS.
  • Basic CSS Properties and Box Model
    Learning about background-color, font-size, color, border, text-transform, text-decoration etc. Learning about CSS Colors and various Color format (hexadecimal, rgb, rgba and hsl format), Learning about box model in CSS and various box-model properties. Understanding CSS Units.
  • Display, Positions and Flexboxes, Media Queries
    Working with layout and changing the normal flow and default layout using display, positions and flexboxes, using Media Queries to create responsive layout.
  • Transition, Transform and CSS Animations
    Learning about fun stuff in CSS, adding transition, transform and Animations.
  • 3D Transform
    Creating a 3D rotating card using 3D Transform
  • CSS Grids and CSS Variables
    Understaing CSS Grids and creating responsive layout using grids, Understanding CSS Variables.
  • Introduction to CSS Frameworks
    Exploring various CSS frameworks - Bulma, Material UI, Sementic UI, Tailwing CSS, and Bootstrap.
  • Bootstrap
    Exploring bootstrap and how to add in our project,Learning all about bootstrap grids and creating a responsive layout,Using various bootstrap components - navbar, card, button etc,Exploring bootstrap utilities for css - flex, display, positions, font etc
  • Unix, Git and Github
    Exploring Unix environment and basic unix commands,Learning all about VCS and why do we need them,Exploring git in detail and learning how to commit changes, resolve conflicts etc.,Learning all about github.
  • Exploring Node.js
    Introducing Node.js and Learning all about Node, how its is useful, what we can do using Node etc.,Learning various inbuilt Node modules e.g : http, file-system, path etc.,Sharing code between js files in Node.js.
  • File System, Path Modules
    Working with file system, Learning how to read and write data into the files
  • Exploring NPM, installing and uninstalling packages Exploring NPM world and learning how to install packages using NPM and creating projects using NPM,Installing packages locally and globally.
  • Introducing Express
    Introducing out Web Framework for creating server,Comparing library and frameworks,Creating our first express app
  • Using nodemon
    Using nodemon as a tool to restart server automatically.
  • All about templating engines
    Understanding templating languages and why do we need them
  • Configuring express to use EJS
    Configuring express to use various templating engine such as EJS,Setting up the views directory,Learning about various ejs tags and their uses,Passing data from server to the templates.
  • Conditionals and Loops in EJS,Serving static assets in Express
    Learning how to conditionally render the data in templates and Looping over data inside the templates,Using stylesheets and scripts in our express app as static files
  • GET vs POST Request
    Introducing GET vs POST request and where do we use them
  • Defining POST route,Parsing the request body
    Understanding POST request in detail,Parsing the request body using express body parsing middleware
  • All about REST
    Learning all about REST architecture and creating REST routes for CRUD app
  • Inserting, Update, Deleting with mongo
    Exploring various mongo queries for inserting,deleting, updating data in collections
  • Mongo Operators
    Learning about mongo operators and their uses for building complex queries
  • Introducing Mongoose
    Introducing mongoose as ODM,Learning ODM vs ORM,Creating schema using mongoose and using Model to manipulate the data
  • Cookies
    Learning all about cookies Client Side Storage
  • Authentication using bcrypt
    Diving into authentication and understanding Authentication vs Authorization,Learning about Cryptographic Hashing Functions,Implementing authentication using Bcrypt from scratch,Implementing Authentication from scratch
  • Authentication using Passport.js
    Learning about passport.js and adding Authentication using passport,Adding authorisation using middlwares in our app
  • Web Security Introduction
    Understanding common secuirity issues using and Mongo Injection,Cross site scripting and how to mitigate small attacks,Sanitising payoad before storing the data into the database,Using helmet to prevent various attacks.
  • Preparing our app for deployment
    Preparing and deploying our app to production enviroment,Connecting our App with cloud database using MongoDB Atlas,Deplyoing and Monitoring our app to Heroku
  • Master HTML
    In this you will learn how to create the structure and the template of the webpages and websites.
  • Mastering CSS
    In this you will learn how to add styles and make your webpages look stylish and responsive.
  • Basics of Programming
    For any language the first and the most important thing to learn is the syntax, variables, loops, and conditionals. In this section, we will cover how to convert our logic to Code.
  • Mastering JavaScript
    In this you will understand how to add the functionality to you HTML and CSS webpage and websites.
  • Functions
    In this section, you will learn to write code in a modular way to help you reuse the code in different files and make it more readable and organized.
  • The Internet
    Introducing web and learning about internet,Understanding web and http, learning all about Web vs Internet,Learning about client-server architecture,Understaning frontend and backend.
  • What do HTML/CSS/JS do?
    Understanding frontend technologies - HTML, CSS, JS
  • Setting Up Our Developer Environment
    Setting up VS - Code - Installing various extensions( live-server etc)
  • Introduction to HTML
    First brush with HTML, understaning html and role of html in creating a web page,Writing our first html code,Understanding HTML Boilterplate , HTML-5 syntax and HTML Tree,Looking for documentation on MDN and W3School.
  • Learning HTML Tags
    Learning heading, paragraph and other useful html tags,Understanding Blocks vs Inline elements,Entity codes, working with anchor tags, various use cases of anchor tags.
  • HTML Forms
    Taking input from the using various HTML Input Elements and learning all about HTML Forms
  • HTML Tables
    Creating tables in HTML
  • Media Elements-Image,Audio,Video,iframe
    Learning how to work with images, audio, video and iframe elements in HTML.
  • HTML Sementic elements
    Learning about HTML Sementic Elements(nav, article, section, header, main, footer, aside, figure and figcaption).
  • Introduction to CSS
    Introducing CSS and understanding the role of CSS,Adding CSS to out HTML Page,Learning all about selectors (Basic + Advanced Selector),Understaning inheritance of various properties and Precedence of selectors in CSS.
  • Basic CSS Properties and Box Model
    Learning about background-color, font-size, color, border, text-transform, text-decoration etc. Learning about CSS Colors and various Color format (hexadecimal, rgb, rgba and hsl format), Learning about box model in CSS and various box-model properties. Understanding CSS Units.
  • Display, Positions and Flexboxes, Media Queries
    Working with layout and changing the normal flow and default layout using display, positions and flexboxes, using Media Queries to create responsive layout.
  • Transition, Transform and CSS Animations
    Learning about fun stuff in CSS, adding transition, transform and Animations.
  • 3D Transform
    Creating a 3D rotating card using 3D Transform
  • CSS Grids and CSS Variables
    Understaing CSS Grids and creating responsive layout using grids, Understanding CSS Variables.
  • Introduction to CSS Frameworks
    Exploring various CSS frameworks - Bulma, Material UI, Sementic UI, Tailwing CSS, and Bootstrap.
  • Bootstrap
    Exploring bootstrap and how to add in our project,Learning all about bootstrap grids and creating a responsive layout,Using various bootstrap components - navbar, card, button etc,Exploring bootstrap utilities for css - flex, display, positions, font etc
  • Introduction to JS
    Introducing JS, Various features - Compile-Interpreted-JIT languages, Dynamically vs Statically Typed JS Engine,Learning primitives in JS(Number, String, Boolean, undefined, null) and strings methods,Learning all about Math object and generating random numbers in given range,Understaning if-else if-elseif-else , Ternary operator, Binary operator, Logical and Bitwise Operators Shortcircuiting using Logical AND and OR operator
  • JS Arrays, Nested Arrays
    Learning the first data structure - Array, and Various Array methods.
  • JS Objects
    Learning all about JS Object
  • Repeating stuff with Loops
    Understanding while, for, forof and forin loops in JS
  • Introducing Functions
    Learning all about functions and types of function - function expression, arrow function, first class function.
  • Function deep dive - Execution context
    Diving deep into the function execution and understanding the execution context
  • Scopes, HOF, Closure
    Resoving scopes in JS, Learning about HOF and Closures
  • Prototypes, Constructor Function and Class Syntax
    Understaning Object inheritance in JS and how prototypes helps to achive it, Understanding Construction function and class Sytax in JS(getter, setter, static methods).
  • Async Programming and Web APIs
    Asynchrounous Programming - Event Loop, Callback Queue and Web APIs Environment.
  • Callback Hell and Promises
    Understanding Callback hell and using Promises
  • Introduction to DOM Web API
    Understanding what DOM is and how to manipulate DOM using JS,Selecting elements in a DOM tree using various selectors,Learning about various DOM properties - innerText, textContent, innerHTML, setAttribute, getAttribute,Travarsing the DOM tree from child to parent and vice-versa,Creating and deleting elements in a DOM tree.
  • Events and Event Listener
    Diving into the events and how events works
  • Event Lifecycle - Bubbling and Capturing, Event Delegation
    Exploring the event life cycle and understanding event bubbeling, Capturing and Event Delegation.
  • jQuery
    Introduction to JS framework-jQuery, Learning and exploring easy to use APIs provided by jQuery,Exploring various APIs in jQuery - .css(), html(), attr(), first(), last() etc,Learning how add events in jQuery,Creating effects using jQuery- sliding, toggle etc
  • Understanding AJAX
    Introduction to AJAX, learning what AJAX is and how it is useful in Web Development and SPAs,Comparing traditional Client-Server Model with AJAX Model,Learning about various data exchange format - JSON and XML.
  • APIs and Endpoints, Postman
    Demystifying the APIs and Endpoints calling the APIs using Postman, understanding Status Code etc.,Learning how to make HTTP request using JS,Learning the native of making AJAX request using XMLHttp request object.
  • Fetch
    Introducing modern way of making request using fetch web API
  • Third Party Libraries - Axios, jQuery
    Making request using third party libraries such as Axios and jQuery
  • Unix, Git and Github
    Exploring Unix environment and basic unix commands,Learning all about VCS and why do we need them,Exploring git in detail and learning how to commit changes, resolve conflicts etc.,Learning all about github.
  • Exploring Node.js
    Introducing Node.js and Learning all about Node, how its is useful, what we can do using Node etc.,Learning various inbuilt Node modules e.g : http, file-system, path etc.,Sharing code between js files in Node.js.
  • File System, Path Modules
    Working with file system, Learning how to read and write data into the files
  • Exploring NPM, installing and uninstalling packages Exploring NPM world and learning how to install packages using NPM and creating projects using NPM,Installing packages locally and globally.
  • Introducing Express
    Introducing out Web Framework for creating server,Comparing library and frameworks,Creating our first express app
  • Using nodemon
    Using nodemon as a tool to restart server automatically.
  • All about templating engines
    Understanding templating languages and why do we need them
  • Configuring express to use EJS
    Configuring express to use various templating engine such as EJS,Setting up the views directory,Learning about various ejs tags and their uses,Passing data from server to the templates.
  • Conditionals and Loops in EJS,Serving static assets in Express
    Learning how to conditionally render the data in templates and Looping over data inside the templates,Using stylesheets and scripts in our express app as static files
  • GET vs POST Request
    Introducing GET vs POST request and where do we use them
  • Defining POST route,Parsing the request body
    Understanding POST request in detail,Parsing the request body using express body parsing middleware
  • All about REST
    Learning all about REST architecture and creating REST routes for CRUD app
  • Inserting, Update, Deleting with mongo
    Exploring various mongo queries for inserting,deleting, updating data in collections
  • Mongo Operators
    Learning about mongo operators and their uses for building complex queries
  • Introducing Mongoose
    Introducing mongoose as ODM,Learning ODM vs ORM,Creating schema using mongoose and using Model to manipulate the data
  • Cookies
    Learning all about cookies Client Side Storage
  • Authentication using bcrypt
    Diving into authentication and understanding Authentication vs Authorization,Learning about Cryptographic Hashing Functions,Implementing authentication using Bcrypt from scratch,Implementing Authentication from scratch
  • Authentication using Passport.js
    Learning about passport.js and adding Authentication using passport,Adding authorisation using middlwares in our app
  • Web Security Introduction
    Understanding common secuirity issues using and Mongo Injection,Cross site scripting and how to mitigate small attacks,Sanitising payoad before storing the data into the database,Using helmet to prevent various attacks.
  • Preparing our app for deployment
    Preparing and deploying our app to production enviroment,Connecting our App with cloud database using MongoDB Atlas,Deplyoing and Monitoring our app to Heroku
  • Introduction to React.js
    Introducing all about React.js and why do we use react how it solves our problem,Exploring new generation js features - destructring, spread, rest parameters, arrow functions etc.,Creating and understanding our first react app.
  • Class vs Functional Components State vs Props
    Learning all about React components - Class and Functional components,Handleing state and props in react,Learning how to take input and working with forms in react,React Events
  • Learning useState ,useEffect,useRef Hook
    Expolring hooks in react and their uses
  • Sending HTTP Request
    Sending http request using fetch and axios
  • Router - SPAs vs MPAs
    Understanding react router - SPAs vs MPAs
  • Context API in React
    Handling global state with Context in React
  • All about react Hooks
    More about react Hooks
  • MERN Stack Project
    Project
  • Data Science Quickstart Mode
    The section gives you a headstart with libraries and modules that are essential to any Data Science Pipeline. This quickstart section helps you to get going as fast as possible with the course.
  • Basics
    Python is the language that we use for scripting and learning Data Science algorithms throughout the course. This section provides a introduction to the basics of Python programming language.
  • Functions
    Functions are the programming paradigm that increases code reusability in our scripts. This section introduces functions in Python along with other high level concepts like Generators and Decorators.
  • Builtin Data Structures
    Data Structures are the skeleton of computer programming. In this section, we look into the inbuilt data structures that python provides us.
  • Object Oriented Programming Models
    Writing good code involves greatly designed classes. We define classes and modules in this section and equip us with important knowledge of OOPs with python.
  • File and Error Handeling
    In this section, we look into file handling with python. We also learn how to safely handle errors in our python programs.
  • Iteartion Protocol and Generator
    In this section, we look back to functions and learn Generators in detail. We see the iteration protocol in python and implement different iterators in python.
  • Asynchronous Programming in Python
    Asynchronous programming is an essential part in production level python scripts. In this section, we look into Async Programming in python.
  • Basics of Git/GitHub
    Version Control Systems are very important in any project development cycle. We look into Git and GitHub in this section.
  • Data Acquisition Web Scraping
    Data Acquisition is the very first stage in any Data Science project. In this section, we see how to acquire data from unstructured data sources from the web.
  • Data Acquisition using Web API
    APIs are an essential part of web applications. In this section, we see how to leverage the power of Web APIs and extract/gather data from these sources.
  • Data Acquisition Web Crawler using Scrapy
    Have you heard about Spiders? No not the insect spiders but web spiders. In this section, we learn about these spiders and crawlers.
  • Web Automation
    Selenium is one of the most used Web Automation tool in the industry. In this section we learn, how to use selenium's python package and automate web browsing.
  • Getting Started with Machine Learning
    This section gives the first introduction to Machine Learning. We discuss different types of learning paradigms and formulate a introductory definition to Machine Learning.
  • Numpy
    This section gives the first introduction to Machine Learning. We discuss different types of learning paradigms and formulate a introductory definition to Machine Learning.
  • Linear Algebra
    Data Science is a culmination of many different fields. This section introduces one of the most important prerequisite for learning Machine Learning, i.e Linear Algebra
  • Two Dimensional Dynamic Programming
  • Data Visualisation
    In this section, we look into some Data Visualisation packages we have in python.
  • Pandas
    The most famous python package of all, the PANDAS. In this section, we will cover the basics of Pandas package.
  • Probability Distribution & Statistics
    Before getting into major topics, this section gives us a gist of Probability and Statistics required to cover more advance in-depth topics.
  • KNearest Neighbours
    In this section, we look into our very first Machine Learning algorithm, K-Nearest Neighbour or KNN
  • Linear Regression
    Linear Regression is one of the widely used algorithm in data analytics and data science firms. In this section we learn Linear Regression and its in-depth analogies.
  • Linear Regression II multiple features
    Linear Regression is one of the widely used algorithm in data analytics and data science firms. In this section we learn Linear Regression and its in-depth analogies.
  • ScikitLearn Introduction
    One of the most import package for Data Science professional, scikit-learn. In this section we learn scikit-learn and see how we can quickly prototype machine learning algorithms in 1-2 lines of python code.
  • Optimisation Algorithms
    This section introduces us to Optimisation methods. We cover the general iterative optimisation methods and its variant
  • Locally Weighted Regression (LOWESS)
    In this section, we cover a non-linear regression estimate, the Locally Weighted Regression technique
  • Maximum Likelihood Estimation (MLE)
    Machine learning is about parameter estimation. In this section we learn one such parameter estimation method, the Maximum Likelihood Estimation.
  • Logistic Regression
    How about a Linear model for classification tasks? This section, we learn Logistric Regression and see how classification is performed in Machine Learning.
  • Data Preprocessing and Feature Selection
    Data preprocessing and Feature selection is the most important and integral part of Exploratory Data Analysis
  • Pricipal Componenet Analysys
    Curse of Dimensionality? This section we learn something to solve the high dimensionality problem. The Principal Component Analysis.
  • Natural Data Processing & Naive Bayes classifier
    Want to work with textual data? We need Natural Language Processing.
  • Decision Tree & Random Forests
    In this section, we see another non-parametric model and learn what ensemble models are.
  • Support Vector Machines
    We have learned so many Linear Models, how about modelling non-linear functions and decision boundaries? In this section we learn Support Vector Machines, the greatest of all before the wave of Deep Learning.
  • Clustering Fundamentals
    In this section we learn about unsupervised learning and introduce KMeans clustering
  • Deep Learning Introduction
    Deep learning is part of a broader family of machine learning methods based on artificial neural networks with representation learning. In this section, we dig deep into Deep Learning, we cover major deep learning architectures like Deep Neural Network, Convolutional Neural Network and Recurrent Neural Network and learn Backpropagation & Backpropagation-through-time optimization algorithms.
  • Neural Networks MLP's
  • Convolutional Neural Network
  • Traning Data Loaders, Augumentation, Colab
  • Digging Deeper into Convnets
  • Transfer Learning
  • Markov Chains for Text Generation
  • Recurrent Neural Networks
  • Word Embeddings Word2Vec
  • Reinforcement Learning
    Reinforcement learning (RL) is an area of machine learning concerned with how intelligent agents ought to take actions in an environment in order to maximize the notion of cumulative reward. We end our journey with ML by introducing some reinforcement learning algorithms and seeing how it is performed in the industry.
  • Generative Adversarial Networks
    What curriculum teachs machine learning without Generative Modelling. In this section we do an introduction to Generative Models and cover some paradigms like Adversarial Training and Variational Inference.
  • Deep Convolutional GAN's
  • Pytorch
    PyTorch is an open source machine learning framework based on the Torch library, used for applications such as computer vision and natural language processing, primarily developed by Facebook's AI Research lab.
  • Explain what Data Analytics is and the key steps in the Data Analytics process.
  • Differentiate between different data roles such as Data Engineer, Data Analyst, Data Scientist, Business Analyst, and Business Intelligence Analyst.
  • Describe the data analysis process involving collecting, wrangling, mining, and visualizing data.
  • Describe the different types of data structures, file formats, and sources of data.
  • Introduction to Power BI.
  • How to set up a data source and explain and configure storage modes in Power BI.
  • How to prepare for data modeling by cleaning and transforming data.
  • How to use profiling tools to identify data anomalies.
  • How to reference queries and dataflows and use the Advanced Editor to modify code.
  • How to form a model using a Star Schema.
  • How to write calculations DAX to create elements and analysis in Power BI.
  • How to optimize performance in a Power BI model.
  • Display working knowledge of Excel for Data Analysis.
  • Perform basic spreadsheet tasks including navigation, data entry, and using formulas.
  • Employ data quality techniques to import and clean data in Excel.
  • Analyze data in spreadsheets by using filter, sort, look-up functions, as well as pivot tables.
  • Create basic visualizations such as line graphs, bar graphs, and pie charts using Excel spreadsheets.
  • Explain the important role charts play in telling a data-driven story.
  • Construct advanced charts and visualizations such as Treemaps, Sparklines, Histogram, Scatter Plots, and Filled Map Charts.
  • Analyze data in spreadsheets by using filter, sort, look-up functions, as well as pivot tables.
  • Introduction to Tableau
  • Examine and navigate the Tableau Public workspace
  • Practice and connect to different data sources
  • Examine ways to define your project
  • Create a chart using Tableau
  • Create dates using calculated fields
  • Customize table calculations
  • Customize and create dual layer maps
  • Combine the data and follow the best practices to present your story
  • Create calculated fields for KPIs to build a figure that will be used to measure progress in the data
  • Assemble a dashboard
  • Analyze concepts and techniques for compelling storytelling with data
  • MYSQL Installation
  • Databases and Tables
  • Tables Constraint
  • Create and Read
  • Update and Delete
  • SQL Operators
  • Joins Introduction
  • LEFT, RIGHT,FULL Joins
  • GroupBy
  • SQL in real dataset
  • Python Basics
  • Python Functions
  • Python Built in Data Structures
  • Python OOPS
  • Python working with files and error handling
  • Iteartion Protocol and Generator
  • Overview of NumPy and its importance in data analytics
  • Installation and setup
  • Creating NumPy arrays: np.array(), np.arange(), np.zeros(), np.ones(), etc.
  • Array attributes: shape, size, dimensions, data types
  • Indexing and slicing arrays
  • Reshaping arrays
  • Combining arrays: np.concatenate(), np.vstack(), np.hstack()
  • Arithmetic operations: addition, subtraction, multiplication, division, exponentiation
  • Element-wise operations
  • Broadcasting
  • Aggregation functions: np.sum(), np.mean(), np.max(), np.min(), etc.
  • Statistical functions: np.median(), np.std(), np.var(), etc.
  • Sorting arrays: np.sort()
  • Random number generation: np.random
  • Conditional filtering
  • Boolean indexing
  • Filtering with functions: np.where(), np.extract()
  • Series: creation, indexing, attributes, operations
  • DataFrame: creation, indexing, attributes, operations
  • Index objects: Index, RangeIndex, MultiIndex
  • Reading and writing data from/to various formats: CSV, Excel, JSON, SQL databases, HDF5, etc.
  • Specifying parameters for data import: delimiters, headers, encoding, etc.
  • Selecting subsets of data using labels (loc) and positions (iloc)
  • Conditional selection
  • Filtering, sorting, and ranking
  • Handling missing data: detection, removal, filling
  • Applying functions to data: element-wise, row-wise, column-wise
  • Grouping data by one or multiple keys
  • Applying aggregation functions: sum, mean, median, min, max, etc.
  • Basic plotting: line plots, bar plots, scatter plots, histograms
  • Customizing plots: labels, titles, colors, styles
  • Advanced plotting: time series plots, box plots, heatmaps
  • What is R?
  • Installation and Setup
  • Basic Syntax and Data Types
  • Basic Operations and Functions
  • Data Structures
  • Basic Operations and Functions
  • Control Structures
  • Capstone Project
    In the capstone project, students will have the opportunity to showcase their mastery of Data Analytics by tackling real-world challenges, applying advanced analytical techniques, and delivering innovative solutions that demonstrate their readiness to excel in the field of Data Analytics.
  • Microsoft certification (Optional)

Learn from Top Mentors

Kartik MathurAcademics Head & Founding Member

Kartik is an NSUT graduate and an accomplished competitive programmer. He is also a full stack web developer and contributes to Startups. He has trained more than 15000 students till date into various courses and his students can be found in Google, Facebook, Amazon, Microsoft, Adobe and the like. He is fun loving, makes learning interesting and is an absolute favourite of the Student community. He loves exploring newer technologies and is always up for an interesting chat over coffee.

Archit TripathiLead Engineer Make My Trip | EX-OLX

I'm Archit Tripathi, a technology enthusiast and Lead Engineer at MakeMyTrip, specializing in driving innovations to enhance the travel experience. With a passion for mentoring and a penchant for exploring emerging technologies, I thrive in dynamic environments where creativity and expertise converge. Prior to my current role, I served as a career coach and mentor for over 3 years at Scaler and Self, guiding individuals towards professional success. Additionally, I contributed to the development of in-house logistic solutions, including a dynamic routing engine and booking platform, during my tenure as a Lead Engineer at OLX Group.

Monu KumarSenior Instructor and Product engineer

Monu is a Competitive Programmer and an expert in Data Structures, Algorithms and Mathematics. He always amazes his students with his creative thinking to solve the problems and makes solutions to tough problems a cake walk. He is witty and has a strong grasp on the core subjects of Computer Science.

Mosina AshrafSenior Instructor and Product engineer

Mosina Ashraf is a versatile coder and has an innate understanding of the concepts which makes her way of teaching almost like learning through osmosis. She is a competitive programmer and a front end Web developer.Apart from having an excellent academic record, with her sense of innovation, she has contributed in creating great teaching content. Known for her euphonious voice, warmhearted nature and coding skills, she blends proficiently as a great mentor.

Certificate of Internship

Company Logo

Benefits of our Summer Internship Bootcamp

Industry mentors

Industry mentors

Top mentors from industry to bring real world experience and expertise in your skillset.

Resuming building

Resuming building

Let us help you tell your journey/professional experience through your Resume!

Hands-on real time learning

Hands-on real time learning

Learn by building projects on the technology stacks you're learning, ensuring that students become industry-ready.

Mock interviews

Mock interviews

Our industry experts will help you to succeed with tailored feedback and invaluable insights, all aimed at helping you reach your full potential.

Quick doubt resolution

Quick doubt resolution

Instant clarity and quick response - that's our commitment to resolving your doubts lightning-fast, to make your career get launched.

Certified Program

Certified Program

Our certified program is meticulously crafted by industry experts, designed to provide you with the knowledge that current industry demands.

Success Stories

where hard work and determination meets victory!

mayankjha
shresthsahai
monukumar

Our Reviews

We love our students as much as they love us!

4.8
4.7
100+ Questions

Learn from Top Mentors

Kartik MathurAcademics Head & Founding Member

mayankjha

Archit TripathiLead Engineer at MMT | EX-OLX

monukumar

Monu KumarSenior Instructor and Product engineer

shresthsahai

Shresth SahaiSenior Instructor and Product engineer

×
🎊

Your application is received!


Congratulation! Your application has been received.
×

Attempt Test - To give your career a launch!

The 2 hours test will consist of 10 aptitude questions and 3 coding questions based on DSA.

It is to ensure that you are ready to become part of this bootcamp, since it is an exclusive program consisting of maximum 50 students/batch.

You will undergo a training of 6 months on the topics mentioned in the syllabus section of this page.

To attempt the test click on Apply Now.
×

Clear Test - To give your career a launch!


If you have already attempted the test and your result is awaited, check email or call +91-9999579111 to connect with your coding buddy.

If you are a techie and wants to become a pro TECHIE to get into your dream organsiation then click on Apply Now to register.
×

Interview Round


Once you clear the test, only then your interview will be scheduled.

1. Check Email
2. You can call +91-9999579111 to connect with your coding buddy for confirmation

In case, you haven't attempted the test yet, go to Apply Now section.
×

Successfully Enrolled


<<<<<<< HEAD Jor Jor se bolkar sabko batade
` ======= Jor Jor se bolkar sabko batade
>>>>>>> success-stories
If you are selected then congratulations 🥳 AB JOR JOR SE BOLKAR SABKO BATADO via social media accounts.
If not, then don't worry you can re-appear for the selection process.
Starts 31 May '24
C++ Data structures & Algorithms with Frontend
Schedule: Sat & Sun (07:00 PM - 11:00 PM)
Highlights
  • Internship Certificate
  • Free Interview Questions
  • Relevant Industry Experience
  • Project based learning (7 Projects)
  • Learn under mentors of Top Tech Companies
  • 60+ hours of Learning
  • Be a part of a decade old Coders Community.
  • Mode of Delivery: LIVE + recorded
  • Resume Building Sessions
  • 6 Months access to content after the internship
  • Job + Internship Assistance
  • Certification for Linkedin profile
  • Developer CV

Course Fee ₹2,200/-

Starts 31 May '24
C++ Fullstack Web Devlopment (MERN)
Schedule: Sat & Sun (07:00 PM - 11:00 PM)
Highlights
  • Internship Certificate
  • Free Interview Questions
  • Relevant Industry Experience
  • Project based learning (7 Projects)
  • Learn under mentors of Top Tech Companies
  • 60+ hours of Learning
  • Be a part of a decade old Coders Community.
  • Mode of Delivery: LIVE + recorded
  • Resume Building Sessions
  • 6 Months access to content after the internship
  • Job + Internship Assistance
  • Certification for Linkedin profile
  • Developer CV

Course Fee ₹2,200/-

Starts 31 May '24
C++ Data Science with ML & Generative AI
Schedule: Sat & Sun (07:00 PM - 11:00 PM)
Highlights
  • Internship Certificate
  • Free Interview Questions
  • Relevant Industry Experience
  • Project based learning (7 Projects)
  • Learn under mentors of Top Tech Companies
  • 60+ hours of Learning
  • Be a part of a decade old Coders Community.
  • Mode of Delivery: LIVE + recorded
  • Resume Building Sessions
  • 6 Months access to content after the internship
  • Job + Internship Assistance
  • Certification for Linkedin profile
  • Developer CV

Course Fee ₹2,200/-

Starts 31 May '24
C++ Data Analytics with Prompt Engineering & Generative AI
Schedule: Sat & Sun (07:00 PM - 11:00 PM)
Highlights
  • Internship Certificate
  • Free Interview Questions
  • Relevant Industry Experience
  • Project based learning (7 Projects)
  • Learn under mentors of Top Tech Companies
  • 60+ hours of Learning
  • Be a part of a decade old Coders Community.
  • Mode of Delivery: LIVE + recorded
  • Resume Building Sessions
  • 6 Months access to content after the internship
  • Job + Internship Assistance
  • Certification for Linkedin profile
  • Developer CV

Course Fee ₹2,200/-

Our Students are placed at

Frequently Asked Questions

Learn and grow as a developer with our project based courses.