AWS/Devops Project

AWS

Megaproject

Building & Deploying Serverless Web Application over AWS CLOUD

In this project, you will create a serverless web application that allows users to request unicorn rides from the Wild Rydes fleet. The application will feature an HTML, CSS and JAVASCRIPT-based user interface for selecting a pick-up location and a RESTful web service backend to handle the ride requests. Additionally, the application will include user registration and login capabilities. This project is divided into five modules. Each branch describes a specific part of the application and provides step-by-step instructions to implement and verify your work.

AWS/ML

Mini Project

AWS Machine Learning Project-01

Predicting Building Energy Efficiency with Supervised Learning on AWS SageMaker.

AWS/ML

Miniproject

AWS Machine Learning Project-02

Vehicle Clustering with Unsupervised Learning on AWS SageMaker.

AWS/ML

Miniproject

AWS Machine Learning Project-03

Building a Decision Tree to Predict Customer Churn.

AWS/ML

Miniproject

AWS Machine Learning Project-04

Creating a Neural Network to Predict Customer Purchases.

AWS/ML

Miniproject

AWS Machine Learning Project-05

Creating a Neural Network to Predict Customer Purchases but with Visualizing Training process.

AWS/ML

Miniproject

AWS Machine Learning Project-06

Creating a Neural Network to Predict Customer Purchases but with Decision Boundary

AWS/ML

Megaproject

Project: Building a Domain Expert Model for Introducing Generative AI with AWS course

The main objective of this project is to fine-tune a large language model to become a domain expert. This involves: Selecting the Dataset: Choosing an appropriate, copyright-free unstructured text dataset relevant to a specific domain (finance, medical, or IT). Fine-tuning the Language Model: Using Amazon Sagemaker and other AWS tools to fine-tune the Meta Llama 2 7B foundation model, adapting it to the selected domain. Deliverables:A fine-tuned language model proficient in the chosen domain. Documentation of the process, challenges, and solutions..