This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

A guideline for building practical production-level deep learning systems to be deployed in real world applications.

A helper library to connect into Amazon SageMaker with AWS Systems Manager and SSH (Secure Shell)

Backend master class: build a simple bank service in Go

Open Source realtime backend in 1 file

Terraform code for creating a load balancer and auto scaling group.

Terraform aws snippets

Collection of best practices, reference architectures, model training examples and utilities to train large models on AWS.

Random code for HashiCorp related projects, training, etc.

Amazon SageMaker Local Mode Examples

Secure and scalable MLOps platform on AWS using Terraform.

Convert Cloudformation templates to Terraform.

This repository contains examples of Docker images that can be used as custom images for KernelGateway Apps in SageMaker Studio

This solution demonstrates the setup and deployment of Amazon SageMaker Studio into a private VPC and implementation of multi-layer security controls, such as data encryption, network traffic monit…

Terraform code to deploy a SageMaker domain in VPC-only mode that supports multiple Studio and Canvas features

Code for the Terraform course

MLOps on AWS using Amazon SageMaker Pipelines

Scale complete ML development with Amazon SageMaker Studio

This is a project on Image Segmentation with UNet Algorithm on the Kaggle Carvana dataset using AWS Sagemaker.

OpenMapTiles Vector Tile Schema Implementation

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

Exercises and notebooks for my coursera courses

Making large AI models cheaper, faster and more accessible

A natural language interface for computers

🦖 𝗟𝗲𝗮𝗿𝗻 about 𝗟𝗟𝗠𝘀, 𝗟𝗟𝗠𝗢𝗽𝘀, and 𝘃𝗲𝗰𝘁𝗼𝗿 𝗗𝗕𝘀 for free by designing, training, and deploying a real-time financial advisor LLM system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 𝘷𝘪𝘥𝘦𝘰 & 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴