Acerca de este Curso

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Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel intermedio
Aprox. 8 horas para completar
Inglés (English)

Habilidades que obtendrás

Data ScienceInformation EngineeringArtificial Intelligence (AI)Machine LearningPython Programming
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel intermedio
Aprox. 8 horas para completar
Inglés (English)

ofrecido por

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IBM

Programa - Qué aprenderás en este curso

Semana
1

Semana 1

2 horas para completar

IBM AI Enterprise Workflow Introduction

2 horas para completar
3 videos (Total 12 minutos), 13 lecturas, 3 cuestionarios
3 videos
IBM Watson Studio - Create a project5m
Workflow Overview3m
13 lecturas
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 ejercicios de práctica
Readiness Quiz1h
Process Models & Design Thinking: Check for Understanding2m
Process Models, Design Thinking, and Introduction: End of Module Quiz10m
2 horas para completar

Data Collection

2 horas para completar
5 videos (Total 17 minutos), 5 lecturas, 4 cuestionarios
5 videos
Introduction to Business Opportunities2m
Introduction to Scientific Thinking for Business2m
Introduction to Gathering Data2m
AI Workflow: Gathering data6m
5 lecturas
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 ejercicios de práctica
Business Opportunities: Check for Understanding30m
Scientific Thinking for Business: Check for Understanding30m
Gathering Data: Check for Understanding30m
Data Collection: End of Module Quiz5m
Semana
2

Semana 2

3 horas para completar

Data Ingestion

3 horas para completar
5 videos (Total 41 minutos), 15 lecturas, 2 cuestionarios
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 lecturas
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 ejercicios de práctica
Ingesting Data: Check for Understanding3m
Data Ingestion: End of Module Quiz

Reseñas

Principales reseñas sobre AI WORKFLOW: BUSINESS PRIORITIES AND DATA INGESTION

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Acerca de Programa especializado: IBM AI Enterprise Workflow

IBM AI Enterprise Workflow

Preguntas Frecuentes

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