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Next batch starts on Dec 06, 2025
After graduating, I aimed for Front-End Development. To boost my career growth, I discovered Intellipaat with great reviews. Thanks to their help, I landed a job at Fanisko, even during a recession.
I enrolled in an Intellipaat course to expand my knowledge in the field of Data Science. I acquired advanced skills from the course, which led to a 50% salary hike. Thanks to Intellipaat.
Intellipaat has given me the confidence that anyone who aspires can become a Data Scientist with its rich course and expert guidance. I managed to switch from a non-tech education background to a Data Scientist.
I have previous work experience as a Business Development Associate. The reason behind taking the Intellipaat course was to enter the IT industry. With their support, I landed a Data Engineer role in a reputed MNC.
Intellipaat facilitated my transition from a non-tech role at Amazon to Business Analyst. Expert trainers and prompt support enriched my learning journey significantly. Invaluable experience!
Intellipaat training helped me in upskilling my knowledge. Within one month of my training, I got a DevOps Engineer job at Relevance Lab and received a promotion within 6 months of joining with a 70% salary hike.
I started out as a Developer but was struggling as I had no advanced knowledge. I was glad that Intellipaat helped me through the learning process to gain a stronger foothold. Now, I am a full-time Developer for the US Navy.
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Learning at Intellipaat gave me a lot of confidence and motivation to strive to reach my goals. So a big thanks to Intellipaat for providing a career path to success in becoming an R Developer.
I was looking for trending courses when Intellipaat guided me in the right direction based on my skill sets and potential opportunities. After finishing my course, I bagged a dream role at Accenture with a 5 LPA salary.
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Senior Data ScientistData AnalystVisualization & Reporting AnalystData Analytics Specialist
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DevOps ArchitectCloud ArchitectAWS DevOps EngineerSenior DevOps Engineer
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Career Opportunities
Full Stack EngineerBackend DeveloperFullStack DeveloperWeb Developer
The projects will be an integral part of this Software Engineering Program to consolidate your learning. The real-world projects will ensure that you have hands-on experience in Software Development.
Practice Essential Tools
Designed by Industry Experts
Get Real-world Experience
The project is meant to analyze and predict whether an individual has an annual income of more than Rs 50000 or less using various machine learning techniques, some of which are supervised and unsupervised learning.
Enable fast scaling of a website using AWS, while ensuring low or 0 upfront cost. This multi-tier website deploying project also requires learners to successfully launch an EC2 instance to develop and deploy applications.
The project includes using Javascript and Node.js to create a canvas where the users can draw things as they wish through the app. Add HTML and CSS to allow a seamless interface so that the users can draw while handling the mouse.
Build a social media app for a larger community of users where they can interact. Use create-react-app for building the frontend and Node API for backend. Also, use MongoDB as a database along with an ORM like Mongoose (MongoDB)
The goal of this project is to find the factors that have the maximum impact on the preferences of the pre-paid model. It also aims at identifying the variables that are highly correlated with these impacting factors.
Successfully set up a load balancer for the backend resources. Also, it is suggested to ensure that the setting is such that a single frontend IP is exposed and a network watcher is available to generate alerts in the Azure portal.
Use React to build an app that displays the weekly weather forecasts. The application should be usable and have a clear user interface. The core requirement of the project is to use graphic libraries to display daily changes.
Create a resume builder application using React and Material UI for the frontend and Node.js for the backend. As a core requirement, use HTML and PDF libraries to generate the resume and process the information using the server (Node).
By using HTML, CSS, and Javascript, develop a web application that is able to visualize the way various sorting algorithms work. Develop the basic structure using HTML, style it using CSS, and use Javascript for the core functionality.
The project aims to analyze whether the applied loan would be approved or not by identifying the variables correlated with impacting factors. It is predicted using techniques such as Logistic Regression, Decision Tree, and Random Forest.
Effectively upload an application for successful uploading of objects to an S3 bucket from Elastic Beanstalk. As a part of the project, also set up Lambda functions to trigger object creation in the S3 bucket and sort them.
Using React applications and methods, build a music streaming application that allows users to listen to music, comment, and even purchase them. Use React to create the app, Node for the backend, and MongoDB as a database.
Build a system that tells users the arrival time, departure time, and delayed arrival/departure details of the train. As a core requirement of the project, users should be able to log in to the system with their credentials.
The application is free and takes just 10-15 minutes to complete.
