Docker

This course will teach you how to leverage built-in algorithms, use custom frameworks, and fine-tune hyperparameters in SageMaker, giving you skills to streamline machine learning workflows. 

Have you ever wished ChatGPT had your personal knowledge and context on-hand so that it could help you even more? Kind of like an old friend that knows you from years of experience? Well, this can be made possible through Retrieval-Augmentation Generation!

With my team, we developed a novel and successful new approach for deploying remote workstations for data scientists.

I didn't pass my CKA exam, but I learned a lot through the process. Here's my advice and lessons learned from taking the exam and what I plan on doing before I take it again.

I led a team of engineers through a three-day hackathon. We developed a POC of a public-facing API using various technologies, specifically Python, FastAPI, Docker, and Snowflake. We presented our results to the company at the end of the hackathon.

As a pet project, I built a system using Airflow, Docker, Python, and an AWS S3 bucket to monitor and track Bitcoin price fluctuations. When scheduled, the Airflow DAG file_to_S3 (1) hits the coinbase API every five minutes, (2) writes the results into an AWS S3 bucket, and (3) sends a confirmation to my personal email.