About this Course

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Flexible deadlines
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Intermediate Level
Approx. 8 hours to complete
English

Skills you will gain

Data ScienceInformation EngineeringArtificial Intelligence (AI)Machine LearningPython Programming
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
Approx. 8 hours to complete
English

Offered by

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IBM

Syllabus - What you will learn from this course

Week
1

Week 1

2 hours to complete

IBM AI Enterprise Workflow Introduction

2 hours to complete
3 videos (Total 12 min), 13 readings, 3 quizzes
3 videos
IBM Watson Studio - Create a project5m
Workflow Overview3m
13 readings
About this Course5m
Target Audience2m
Required skills2m
An introduction to IBM Watson Studio and IBM Design Thinking12m
Overview of IBM Watson Studio2m
Am I Ready?1m
Am I ready to take this Specialization?3m
Readiness Quiz Review12m
Advantages and Disadvantages of Process Models2m
Data Science Process Models2m
The Design Thinking Process2m
Data Science Workflow Combined with Design Thinking13m
Process Models, Design Thinking, and Introduction: Summary/Review3m
3 practice exercises
Readiness Quiz1h
Process Models & Design Thinking: Check for Understanding2m
Process Models, Design Thinking, and Introduction: End of Module Quiz10m
2 hours to complete

Data Collection

2 hours to complete
5 videos (Total 17 min), 5 readings, 4 quizzes
5 videos
Introduction to Business Opportunities2m
Introduction to Scientific Thinking for Business2m
Introduction to Gathering Data2m
AI Workflow: Gathering data6m
5 readings
Data Collection Objectives2m
Identifying the Business Opportunity: Through the Eyes of our Working Example5m
Scientific Thinking for Business10m
Gathering Data12m
Data Collection: Summary/Review3m
4 practice exercises
Business Opportunities: Check for Understanding30m
Scientific Thinking for Business: Check for Understanding30m
Gathering Data: Check for Understanding30m
Data Collection: End of Module Quiz5m
Week
2

Week 2

3 hours to complete

Data Ingestion

3 hours to complete
5 videos (Total 41 min), 15 readings, 2 quizzes
5 videos
AI Workflow: Data ingestion6m
AI Workflow: Sparse Matrices for Data Pipeline Development10m
Using Watson Studio to Complete the Case Study17m
Case Study2m
15 readings
Data Engineering3m
Limitations of Extract, Transform, Load (ETL)3m
Data Ingestion in the Modern Enterprise1m
Enterprise Data Stores for Data Ingestion3m
Why We Need a Data Ingestion Process2m
Data Ingestion and Automation3m
Sparse Matrices are Used Early in Data Ingestion Development5m
Getting started Watson Studio3m
Case Study Introduction2m
Getting Started3m
Data Sources2m
PART 1: Gathering the data10m
PART 2: Checks for quality assurance (Includes Assessment)10m
PART 3: Automating the process (Includes Assessment)10m
Data Ingestion: Summary/Review3m
2 practice exercises
Ingesting Data: Check for Understanding3m
Data Ingestion: End of Module Quiz

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About the IBM AI Enterprise Workflow Specialization

IBM AI Enterprise Workflow

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