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第 6 門課程(共 6 門)

可靈活調整截止日期

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高級

完成時間大約為16 小時

英語(English)

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您將獲得的技能

Data ScienceInformation EngineeringArtificial Intelligence (AI)Machine LearningPython Programming

可分享的證書

完成後獲得證書

100% 在線

立即開始,按照自己的計劃學習。

第 6 門課程(共 6 門)

可靈活調整截止日期

根據您的日程表重置截止日期。

高級

完成時間大約為16 小時

英語(English)

字幕:英語(English)

提供方

IBM 徽標

IBM

教學大綱 - 您將從這門課程中學到什麼

1

1

完成時間為 4 小時

Feedback loops and Monitoring

完成時間為 4 小時
5 個視頻 (總計 19 分鐘), 16 個閱讀材料, 4 個測驗
5 個視頻
Feedback Loops and Unit Tests7分鐘
Performance Monitoring and Business Metrics1分鐘
Performance Drift5分鐘
Performance Monitoring Case Study1分鐘
16 個閱讀材料
Feedback loops and unit tests: Through the eyes of our Working Example3分鐘
Feedback loops4分鐘
Unit tests4分鐘
Unit testing in Python3分鐘
Test-Driven Development (TDD)3分鐘
CI/CD3分鐘
Performance Monitoring: Through the eyes of our Working Example3分鐘
Logging3分鐘
Minimal requirements for log files4分鐘
Logging in Python (hands-on)30分鐘
Model performance drift4分鐘
Performance Drift Notebook Review25分鐘
Security and Machine Learning Models10分鐘
Performance Monitoring Case Study: Through the eyes of our Working Example4分鐘
Getting started (hands-on)2小時
Summary/Review6分鐘
4 個練習
Check for Understanding2分鐘
Check for Understanding2分鐘
Check for Understanding2分鐘
End of Module Quiz5分鐘
2

2

完成時間為 3 小時

Hands on with Openscale and Kubernetes

完成時間為 3 小時
3 個視頻 (總計 22 分鐘), 6 個閱讀材料, 3 個測驗
3 個視頻
Kubernetes Explained10分鐘
Kubernetes vs. Docker: It's Not an Either/Or Question8分鐘
6 個閱讀材料
Watson OpenScale: Through the eyes of our Working Example4分鐘
Getting started (hands-on)1小時
Kubernetes Explained: Through the eyes of our Working Example4分鐘
Introduction to Kubernetes4分鐘
Getting started (hands-on)1 小時 30 分
Summary/Review4分鐘
3 個練習
Check for Understanding2分鐘
Check for Understanding2分鐘
End of Module Quiz5分鐘
3

3

完成時間為 3 小時

Capstone: Pulling it all together (Part 1)

完成時間為 3 小時
10 個閱讀材料
10 個閱讀材料
Capstone: Through the eyes of our Working Example4分鐘
What is in the Capstone and associated Review?4分鐘
Review of Course 1: Business Priorities and Data Ingestion4分鐘
Review of Course 2: Data Analysis and Hypothesis Testing5分鐘
Review of Course 3: Feature Engineering and Bias Detection5分鐘
Review of Course 4: Machine Learning, Visual Recognition, and NLP12分鐘
Review of Course 5: Enterprise Model Deployment4分鐘
About the data3分鐘
Capstone Assignment 1: Through the eyes of our Working Example4分鐘
Capstone Part 1: Getting Started (hands-on)2小時
1 個練習
Capstone - Part 1 Quiz6分鐘
4

4

完成時間為 5 小時

Capstone: Pulling it all together (Part 2)

完成時間為 5 小時
4 個閱讀材料
4 個閱讀材料
Capstone Assignment 2: Through the eyes of our Working Example4分鐘
Capstone Part 2: Getting started (hands-on)2小時
Capstone Part 3: Getting started (hands-on)2小時
Solution Files1分鐘
2 個練習
Capstone - Part 2 Quiz6分鐘
Capstone - Part 3 Quiz6分鐘

關於 IBM AI Enterprise Workflow 專項課程

This six course specialization is designed to prepare you to take the certification examination for IBM AI Enterprise Workflow V1 Data Science Specialist. IBM AI Enterprise Workflow is a comprehensive, end-to-end process that enables data scientists to build AI solutions, starting with business priorities and working through to taking AI into production. The learning aims to elevate the skills of practicing data scientists by explicitly connecting business priorities to technical implementations, connecting machine learning to specialized AI use cases such as visual recognition and NLP, and connecting Python to IBM Cloud technologies. The videos, readings, and case studies in these courses are designed to guide you through your work as a data scientist at a hypothetical streaming media company. Throughout this specialization, the focus will be on the practice of data science in large, modern enterprises. You will be guided through the use of enterprise-class tools on the IBM Cloud, tools that you will use to create, deploy and test machine learning models. Your favorite open source tools, such a Jupyter notebooks and Python libraries will be used extensively for data preparation and building models. Models will be deployed on the IBM Cloud using IBM Watson tooling that works seamlessly with open source tools. After successfully completing this specialization, you will be ready to take the official IBM certification examination for the IBM AI Enterprise Workflow....
IBM AI Enterprise Workflow

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