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2022 年 9 月 – 2026 年 6 月
數學與資訊教育學系 學士學位GPA: 4.24 滿分 4.3平均成績：94.37 課外活動:
已修課程:
國北教大GPA計算標準
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2023 年 9 月 - Present
2023 年 6 月 - 2025 年 6 月
Issuer: Microsoft
Issued: June 2025
Certificate ID: CB90041DF189400A
Skills: Azure, AI Fundamentals, Microsoft
Issuer: Institute for Information Industry
Issued: June 2025
Certificate ID: 114E00613
Skills: Generative AI
Issuer: Amazon Web Services (AWS)
Issued: May 2025
Expires: May 2028
Certificate ID: fe2b395b965b41b4acaf2424fcd4a21c
Skills: Cloud Computing, AWS Cloud, Cloud Services, Amazon Web Services (AWS)
Issuer: Google
Issued: September 2024
Certificate ID: 2024kOpcloU2d173b6c19a3ab7debf2f973b3c96e8b
Skills: Google Cloud Platform (GCP), Generative AI Tools, Large Language Models (LLM)
Issuer: Google
Issued: July 2024
Certificate ID: XEEDSUF9Y5J8
Skills: Business Intelligence
Issuer: Google
Issued: July 2024
Skills: Prompt Engineering, Generative AI Tools, Large Language Models (LLM)
Issuer: Galaxy Software Services
Issued: June 2024
Skills: Cybersecurity, Vulnerability Identification, Threat Remediation, Security Awareness
Issuer: Taiwan AI Academy
Issued: June 2024
Certificate ID: GENA0400
Skills: Generative AI
Issuer: National Taiwan University
Issued: April 2022
Certificate ID: QS2CWALBF989
Skills: C, Computer Programming
Production-Grade Container Scheduling and Management.
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The best way to write secure and reliable applications. Write nothing; deploy nowhere.
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This course helps to understand the key concepts such as networking, storage, security, maintenance, logging and monitoring, application lifecycle, troubleshooting, API object primitives etc. It also help to grow the ability to establish basic use-cases for end users.
This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI).
This course is a complete guide to master the SDIs. It is created by hiring managers who’ve been working at Google, Facebook, Microsoft, and Amazon. We’ve carefully chosen a set of questions that have not only been repeatedly asked at top companies, but also provide a thorough experience to handle any system design problem.
Discover how to create responsive and high performance software. Develop programs with Golang that are highly Concurrent and Parallel. Improve your programming skills in Go with more advanced, multithreading topics.
