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!
✔️ The beginner level provided a solid foundation in generative AI, focusing on LLM principles, the training and adaptation of foundation models, and challenges such as model bias and hallucinations. Through hands-on experience with prompt design in Vertex AI Studio, I developed skills in zero-shot, one-shot, and few-shot prompting techniques, significantly enhancing my ability to optimize AI solutions for tasks like Q&A, text summarization, and information extraction in the environments.
✔️ The intermediate level explored Gemini's practical applications, where I gained valuable insights into its integration across development ecosystems. The SDLC training demonstrated Gemini's capabilities in improving efficiency throughout the tech stack, from cloud architecture, data science, network engineering to security engineering and DevOps workflows.
✔️ The advanced level challenged us with in-depth technical concepts, including image generation principles, attention mechanisms, encoder-decoder architectures, transformer models, and BERT model implementations. Alongside developing expertise in these technical components, we focused on implementing robust MLOps practices while addressing crucial aspects of AI fairness, interpretability, and privacy protection.
This program offered invaluable insights into generative AI applications, particularly with Gemini models, prompt engineering and Vertex AI on the Google Cloud Platform.
After successfully completing three distinct learning paths in the development journey and getting certified in November 2024, two months of patient waiting paid off when the Google Taiwan event team delivered an exciting package this week, which included Google Cloud stickers, a high-quality stainless steel tumbler, and a specially designed laptop backpack.
I'm grateful to the Google Cloud Taiwan team for this comprehensively designed learning opportunity. A special shout-out to Google for their dedication to developer education and innovation! Looking forward to future opportunities to advance my expertise in cloud and AI technologies.
