Orchestrating Transient Data Analytics Workflows via AWS Step Functions

In this blog, I will walk you through 1.) how to orchestrate data processing jobs via Amazon EMR and 2.) how to apply batch transform on a trained machine learning model to write predictions via Amazon SageMaker.

Setup —Serverless Machine Learning Inference with AWS Lambda + Amazon EFS

A step-by-step tutorial to set up ML inferences with AWS Lambda using its newly released integration with Amazon Elastic File System.

Acing the AWS Certified Machine Learning Specialty Exam like a Pro

In this article, I would like to share my experience of passing the AWS machine learning specialty certification exam. The objective of this post is to help folks who would like to pursue their career in the field of data science or machine learning and want to showcase their interests.

How I prepared for the AWS Certified Machine Learning 

How I prepared for the AWS Certified Machine Learning — Specialty, what resources I used, how I planned my time, and tips to pass the exam.

Build, Train and Deploy A Real-World Flower Classifier of 102 Flower Types

With TensorFlow 2.3, Amazon SageMaker Python SDK 2.5.x and Custom SageMaker Training & Serving Docker Containers

Process of Creating an Effective Machine Learning Pipeline

Why Pipeline is Misleading as it implies one-way but let’s see how to think about ML Pipelines in a circular way. NOTE :- This article is meant to guide you with the thought process(Python Modules) and right kind of questions that you need to answer for creating an Effective Pipeline.

Building Jarvis, the Generative Chatbot with an Attitude

I used a Neural Machine Translation model trained on Amazon SageMaker, Amazon Polly, Google Speech API, and an audio routing tool, to build Jarvis — a chatbot who can talk to you in a video conference call.

A Gentle Introduction to AWS SageMaker — ML & AI on the Cloud

Making Machine Learning model building & deployment in live production a seamless experience for both Software Engineers and Data Scientists

Building Jarvis, the Generative Chatbot With an Attitude

I used a Neural Machine Translation model trained on Amazon SageMaker, Amazon Polly, Google Speech API, and an audio routing tool, to build Jarvis — a chatbot who can talk to you in a video conference call.

Amazon Sagemaker - AWS, setup, train and deploy!

Putting large scale machine learning systems into production and setting up a beautiful streamlined infrastructure with feature repositories that just flow has become a new obsession of mine.