Repository for AWS Solution Architect Professional exam preparation, including theory and practice (hands-on labs).

AWS MLA-C01 Certificate Preparation

Notes, White Papers, Course guides and much more about the Preparation of AWS ML Specialization Certification

This repository provides a practical, data-centric AI/ML module for biomedical researchers. It covers R programming, data preparation, model building, and AI/ML applications using AWS SageMaker and Jupyter notebooks.

SageMaker study repository with hands-on notebooks and notes covering the end-to-end ML workflow on AWS. From data preparation and feature engineering to training, evaluation, deployment, and monitoring using SageMaker tools.

AWS ML exam preparation

AWS ML Specialty Exam Preparation

Miscellaneous Notebooks used during AWS ML Certification Preparation

AWS ML-powered product recommendation system for an e-commerce platform. The system should demonstrate the full ML lifecycle: data preparation, model training, evaluation, deployment, inference, monitoring, and retraining

Comprehensive interview preparation hub for AI/ML, Data Science, and SWE roles. Deep dives into Agentic LLMs, Diffusion Models, Scalable ETL (Oracle/AWS), and Statistical Foundations.

End-to-end MLOps project on AWS to build a real-world e-commerce recommendation system. Covers all four domains of the AWS Certified Machine Learning Engineer – Associate exam: data preparation, model development, deployment & orchestration, and ML solution monitoring.

Detection engineering ramp-up: MITRE ATT&CK coverage mapping, ML-based anomaly detection (Isolation Forest, Random Forest), and AWS SageMaker deployment. Built as interview preparation for a threat detection role at Proofpoint.

An end-to-end object detection project that uses YOLOv8 algorithm for real-time tennis object detection. The project encompasses the entire ML lifecycle, from data preparation to model training & evaluation with deployment on AWS and Azure infrastructure.

Built and Deployed End to End ML project on AWS Cloud which predicts Math test score of Student when attributes like Gender, Race/Ethnicity, Parental Level of Education, Lunch, Test Preparation, Reading Test Score, Writing Test Score are provided.