… from the previous episode
As a follow-up to my previous Medium post on the ever-evolving nature of data science and the need for continuous upskilling, I want to share some insights on the second stage of my upskilling plan. In this post, I will be discussing the AWS implementation of a task and its relevance to modern-day data science.
- LLM — Large Language Models
- Upskill from ML in AWS
- Become MultiCloud Practitioner
Summary
As I continued my journey to upskill as a data scientist, I knew that I needed to find a course that could help me fast-track my learning and progress. After some research, I stumbled upon Udemy’s “Become an AWS ML Engineer” course, which piqued my interest. I had been wanting to delve deeper into cloud environments like AWS, and this course seemed like the perfect opportunity to do so.