课程信息

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完成后获得证书
100% 在线
立即开始,按照自己的计划学习。
第 6 门课程(共 6 门)
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高级
完成时间大约为16 小时
英语(English)
字幕:英语(English)

您将获得的技能

Data ScienceInformation EngineeringArtificial Intelligence (AI)Machine LearningPython Programming
可分享的证书
完成后获得证书
100% 在线
立即开始,按照自己的计划学习。
第 6 门课程(共 6 门)
可灵活调整截止日期
根据您的日程表重置截止日期。
高级
完成时间大约为16 小时
英语(English)
字幕:英语(English)

提供方

IBM 徽标

IBM

教学大纲 - 您将从这门课程中学到什么

1

1

完成时间为 4 小时

Feedback loops and Monitoring

完成时间为 4 小时
5 个视频 (总计 19 分钟), 16 个阅读材料, 4 个测验
5 个视频
Feedback Loops and Unit Tests7分钟
Performance Monitoring and Business Metrics1分钟
Performance Drift5分钟
Performance Monitoring Case Study1分钟
16 个阅读材料
Feedback loops and unit tests: Through the eyes of our Working Example3分钟
Feedback loops4分钟
Unit tests4分钟
Unit testing in Python3分钟
Test-Driven Development (TDD)3分钟
CI/CD3分钟
Performance Monitoring: Through the eyes of our Working Example3分钟
Logging3分钟
Minimal requirements for log files4分钟
Logging in Python (hands-on)30分钟
Model performance drift4分钟
Performance Drift Notebook Review25分钟
Security and Machine Learning Models10分钟
Performance Monitoring Case Study: Through the eyes of our Working Example4分钟
Getting started (hands-on)2小时
Summary/Review6分钟
4 个练习
Check for Understanding2分钟
Check for Understanding2分钟
Check for Understanding2分钟
End of Module Quiz5分钟
2

2

完成时间为 3 小时

Hands on with Openscale and Kubernetes

完成时间为 3 小时
3 个视频 (总计 22 分钟), 6 个阅读材料, 3 个测验
3 个视频
Kubernetes Explained10分钟
Kubernetes vs. Docker: It's Not an Either/Or Question8分钟
6 个阅读材料
Watson OpenScale: Through the eyes of our Working Example4分钟
Getting started (hands-on)1小时
Kubernetes Explained: Through the eyes of our Working Example4分钟
Introduction to Kubernetes4分钟
Getting started (hands-on)1 小时 30 分
Summary/Review4分钟
3 个练习
Check for Understanding2分钟
Check for Understanding2分钟
End of Module Quiz5分钟
3

3

完成时间为 3 小时

Capstone: Pulling it all together (Part 1)

完成时间为 3 小时
10 个阅读材料
10 个阅读材料
Capstone: Through the eyes of our Working Example4分钟
What is in the Capstone and associated Review?4分钟
Review of Course 1: Business Priorities and Data Ingestion4分钟
Review of Course 2: Data Analysis and Hypothesis Testing5分钟
Review of Course 3: Feature Engineering and Bias Detection5分钟
Review of Course 4: Machine Learning, Visual Recognition, and NLP12分钟
Review of Course 5: Enterprise Model Deployment4分钟
About the data3分钟
Capstone Assignment 1: Through the eyes of our Working Example4分钟
Capstone Part 1: Getting Started (hands-on)2小时
1 个练习
Capstone - Part 1 Quiz6分钟
4

4

完成时间为 5 小时

Capstone: Pulling it all together (Part 2)

完成时间为 5 小时
4 个阅读材料
4 个阅读材料
Capstone Assignment 2: Through the eyes of our Working Example4分钟
Capstone Part 2: Getting started (hands-on)2小时
Capstone Part 3: Getting started (hands-on)2小时
Solution Files1分钟
2 个练习
Capstone - Part 2 Quiz6分钟
Capstone - Part 3 Quiz6分钟

关于 IBM AI Enterprise Workflow 专项课程

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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