Build a solid foundation in AWS Cloud & DevOps with hands-on training, expert mentorship, and real-world projects. Learn in-demand cloud skills and fast-track your career in the ever-evolving cloud computing industry!
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3-Month Internship with Live projects
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This project involves migrating on-premises infrastructure and applications to the AWS Cloud, leveraging services like AWS Migration Hub and AWS Server Migration Service (SMS) to ensure economic transition, scalability, and cost-efficiency.
Develop a serverless web application using AWS Lambda, Amazon API Gateway, and Amazon DynamoDB. This project showcases the benefits of serverless architecture, including automatic scaling, reduced operational overhead, and cost optimization.
Build an end-to-end data analytics pipeline on AWS, incorporating services like Amazon S3, Amazon EMR, Amazon Redshift, and Amazon QuickSight. This project demonstrates how AWS enables organizations to process, analyze, and visualize large datasets efficiently.
Design and implement a highly available web hosting architecture on AWS using services like Amazon EC2, Elastic Load Balancing (ELB), and Amazon RDS. This project focuses on achieving high tolerance, scalability, and reliability for web applications hosted on AWS infrastructure.
Using Machine Learning algorithms to find classification and differences in consumers based on color, gender, etc. Customer segmentation is a technique where we divide the customers based on their purchase history, gender, age, interests, etc.
Introduction to LSTM and ARIMA modeling. Working with time series analysis to forecast data trends and make informed business decisions.
Understanding the behavior of a football player to analyze the number of goals he has achieved and performing a brief analysis of the statistics of his game.
Understand unsupervised learning and work with the concepts of clustering. Introduction to K-means clustering and classification of the data into unknown labels.
Introducing the concept of image classification and neural network processing. Classifying between a fruit image and a vegetable image with training and testing the models.
Introducing GANs and understanding AI practices to generate and transform images. Using libraries such as TensorFlow and PyTorch to explore image transformations and translations.
Crawling through websites and scraping specific keywords that we want to extract from an entire article.
Understanding healthcare data and working on EDA and data preprocessing to predict full healthcare courses with government disease data comparing various states.
Understanding pixel and RGB concepts of images. Learn how to automatically colorize black-and-white images using PyTorch/TensorFlow and computer vision techniques for optimizing output.
Detailed understanding of bidirectional LSTM in time-series analysis. Working on data with complete EDA and analysis.
| Benefits | iLearnings Training | other platforms | Youtube |
|---|---|---|---|
| Free placement assistance | |||
| Direct interview invites | |||
| Guaranteed 1-month internship | |||
| Live classes+ recorded | |||
| Non-IT to IT Transitions | |||
| Google Rating 4.8 | |||
| Hands-on Experience | |||
| Post-Course Support | |||
| Additional Certifications | |||
| Scholarships and Financial Aid |
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