Coursera Course Certificates - Computer Science (32)
2021 - 03 - 14
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2021-07
32 The Hacker’s Guide to Scaling Python - Educative

2021-05
31 Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud - UIUC

30 Data Science in Production: Building Scalable Model Pipelines - Educative

29 Introduction to Machine Learning in Production - deeplearning.ai

28 Introduction to Microsoft Azure Cloud Services - Coursera

2021-04
27 Designing data-intensive applications - National Autonomous University of Mexico

26 Introduction to Designing Data Lakes on AWS - AWS

2021-03
25 IBM Data Topology - IBM

24 Production Machine Learning Systems - Google Cloud

23 Software Defined Networking - University of Chicago

22 Software Security - University of Maryland

2021-02
21 Distributed Computing with Spark SQL - UC Davis

20 Introduction to Git and GitHub - Google

19 Linux for Developers - Linux Foundation

2021-01
18 Cryptography I - Stanford Online

2020-12
17 Introduction to MongoDB - MongoDB

16 機器學習技法 (Machine Learning Techniques) - 台湾大学

2020-11
15 Data Manipulation at Scale: Systems and Algorithms - University of Washington

14 Probabilistic Graphical Models Specialization - Stanford Online

2020-10
13 Computational Neuroscience - University of Washington

12 Generative Adversarial Networks (GANs) Specialization - deeplearning.ai

11 Operating Systems - Peking University

2020-09
10 Natural Language Processing Specialization - deeplearning.ai

2020-08
9 Divide and Conquer, Sorting and Searching, and Randomized Algorithms - Stanford Online

8 Triplebyte Certified Machine Learning Engineer
Credential ID: YXqBsyA
2020-07
7 Deep Learning Specialization - deeplearning.ai

2020-06
6 Art and Science of Machine Learning - Google Cloud

5 Modernizing Data Lakes and Data Warehouses with GCP - Google Cloud

2019-01
4 Blockchain Platforms - State University of New York

2018-12
3 Deep Learning for Business - Yonsei University

2 Deep Learning with Tensorflow - edX

1 FPGA computing systems: Background knowledge and introductory materials - Politecnico Milano
