Introduction​

I’m happy to share a recent milestone: I’ve earned the AWS Certified Cloud Practitioner certification!

Over the past two years, I’ve mainly been working with the GCP platform, gaining hands-on experience in SaaS cloud operations. But while preparing for this certification, I got the chance to take a more systematic and comprehensive look at AWS cloud architecture and best practices.

Actually, this whole journey started from a fun experience at the AWS Summit this August. I joined one of the sessions where the speaker hosted a small competition. Luckily, I won a prize spot, and to my surprise, the prize was a 100% discount voucher for the AWS foundational-level exam (worth around USD 100!). That turned out to be the real “value for money” reward of the event. I didn’t get any other swag, but honestly, this voucher alone made the trip more than worthwhile. And that’s how I got the chance to take this certification exam.

As an experienced AI engineer deeply invested in Google Cloud Platform (GCP), I had the privilege of participating in the "Google Cloud Generative AI Training Program (Cloud AI Study Jam 2024)" organized by the Google Cloud Taiwan team in October 2024.

This intensive one-month program required completion of 25 courses, including hands-on practical exercises, with approximately 48 hours of dedicated learning time. Through the Google Cloud Skills Boost platform, I gained direct hands-on experience implementing LLM technology applications such as Google Gemini and Vertex AI Studio within the GCP environment. Beyond earning a Certificate upon completion, participants who passed Google's review process were rewarded with an attractive set of complimentary gifts!

As a developer, it was a great honor to attend the NVIDIA Developer Meet-up held in Taiwan today. The Meet-up was packed with valuable content, featuring renowned professors from academia and entrepreneurs from startups who shared their precious experiences and knowledge.

Today, I had the great fortune of attending NVIDIA CEO Jensen Huang's keynote event in Taiwan.

This was my second time participating in Taipei Automation Exhibition.

This was my second time participating in the Kaggle competition, TensorFlow - Help Protect the Great Barrier Reef, and the deadline was only 1 month to go. The topic domain of the competition was about object detection of computer vision.

I recently participated in a Kaggle competition with my friends and this was an awesome experience for me because it was my first time joining a Kaggle event.