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 avanzado
Aprox. 17 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 avanzado
Aprox. 17 horas para completar
Inglés (English)

ofrecido por

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IBM

Programa - Qué aprenderás en este curso

Semana
1

Semana 1

5 horas para completar

Feedback loops and Monitoring

5 horas para completar
5 videos (Total 19 minutos), 16 lecturas, 4 cuestionarios
5 videos
Feedback Loops and Unit Tests7m
Performance Monitoring and Business Metrics1m
Performance Drift5m
Performance Monitoring Case Study1m
16 lecturas
Feedback Loops and Unit Tests: Through the Eyes of Our Working Example3m
Feedback oops4m
Unit tests4m
Unit Testing in Python3m
Test-Driven Development (TDD)3m
CI/CD3m
Performance Monitoring: Through the Eyes of Our Working Example3m
Logging3m
Minimal Requirements for Log Files4m
Logging in Python (Hands-On)30m
Model Performance Drift4m
Performance Drift Notebook Review25m
Security and Machine Learning Models10m
Performance Monitoring Case Study: Through the Eyes of Our Working Example4m
Getting Started (Hands-On)2h
Summary/Review10m
4 ejercicios de práctica
Check for Understanding5m
Check for Understanding5m
Check for Understanding5m
End of Module Quiz10m
Semana
2

Semana 2

4 horas para completar

Hands on with Openscale and Kubernetes

4 horas para completar
3 videos (Total 22 minutos), 6 lecturas, 3 cuestionarios
3 videos
Kubernetes Explained10m
Kubernetes vs. Docker: It's Not an Either/Or Question8m
6 lecturas
Watson OpenScale: Through the eyes of our Working Example4m
Getting started (hands-on)1h
Kubernetes Explained: Through the Eyes of Our Working Example4m
Introduction to Kubernetes4m
Getting Started (Hands-On)1h 30m
Summary/Review4m
3 ejercicios de práctica
Check for Understanding30m
Check for Understanding5m
End of Module Quiz10m
Semana
3

Semana 3

3 horas para completar

Capstone: Pulling it all together (Part 1)

3 horas para completar
10 lecturas
10 lecturas
Capstone: Through the Eyes of Our Working Example4m
What is in the Capstone and Associated Review?4m
Review of Course 1: Business Priorities and Data Ingestion4m
Review of Course 2: Data Analysis and Hypothesis Testing5m
Review of Course 3: Feature Engineering and Bias Detection5m
Review of Course 4: Machine Learning, Visual Recognition, and NLP12m
Review of Course 5: Enterprise Model Deployment4m
About the Data3m
Capstone Assignment 1: Through the Eyes of Our Working Example4m
Capstone Part 1: Getting Started (Hands-On)2h
1 ejercicio de práctica
Capstone - Part 1 Quiz15m
Semana
4

Semana 4

6 horas para completar

Capstone: Pulling it all together (Part 2)

6 horas para completar
4 lecturas
4 lecturas
Capstone Assignment 2: Through the Eyes of Our Working Example4m
Capstone Part 2: Getting Started (Hands-On)2h
Capstone Part 3: Getting Started (Hands-On)2h
Solution Files1m
2 ejercicios de práctica
Capstone - Part 2 Quiz15m
Capstone - Part 3 Quiz15m

Reseñas

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Acerca de Programa especializado: IBM AI Enterprise Workflow

IBM AI Enterprise Workflow

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