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Leire Ahedo
En este proyecto aprenderás acerca del despliegue de modelos Deep Learning en producción, utilizando herramientas como Flask, heroku y Postman.
Register for this course and see more details by visiting:
OpenCourser.com/course/b4q4er/despliegue
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What's inside
Syllabus
Visión general del proyecto
En este curso aprenderemos a como poner en producción modelos de Deep Learning.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Esta diseñado para estudiantes que buscan implementar modelos de Deep Learning en producción
Requiere conocimientos previos en Deep Learning
Proporciona herramientas y técnicas de implementación en producción
Save this course
Save Despliegue de modelos Deep Learning: Flask, heroku, Postman to your list so you can find it easily later:
Save
Save
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Despliegue de modelos Deep Learning: Flask, heroku, Postman with these
activities:
Revise fundamental ML concepts
Show steps
Reinforces foundational understanding of ML algorithms, preparing you to delve deeper into deployment.
Browse courses on
Machine Learning
Show steps
-
Review key ML algorithms (e.g., linear regression, decision trees).
-
Examine core ML concepts (e.g., supervised learning, model evaluation).
Read 'Deep Learning with Python'
Show steps
Provides a comprehensive overview of deep learning concepts, foundational for model deployment.
View
Deep Learning con Python
on Amazon
Show steps
-
Read chapters on model deployment and serving.
Explore Flask tutorials
Show steps
Provides hands-on experience with Flask, a crucial framework for deploying ML models.
Browse courses on
Flask
Show steps
-
Follow online Flask tutorials.
-
Create a simple Flask application.
Three other activities
Expand to see all activities and additional details
Show all six activities
Practice using Postman for API testing
Show steps
Develops proficiency in using Postman, an essential tool for testing deployed ML models.
Browse courses on
Postman
Show steps
-
Complete Postman tutorials.
-
Create test cases for your deployed ML pipeline.
Build a basic ML deployment pipeline
Show steps
Applies the learned concepts by creating a functional ML deployment pipeline.
Browse courses on
Model Deployment
Show steps
-
Design the deployment architecture.
-
Implement the pipeline using Flask.
-
Deploy and test the pipeline on Heroku.
Create a blog post or presentation
Show steps
Solidifies understanding of model deployment and allows you to share knowledge with others.
Browse courses on
Model Deployment
Show steps
-
Choose a topic related to model deployment.
-
Research and gather information.
-
Write and edit your blog post or presentation.
Revise fundamental ML concepts
Show steps
Reinforces foundational understanding of ML algorithms, preparing you to delve deeper into deployment.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Review key ML algorithms (e.g., linear regression, decision trees).
- Examine core ML concepts (e.g., supervised learning, model evaluation).
Read 'Deep Learning with Python'
Show steps
Provides a comprehensive overview of deep learning concepts, foundational for model deployment.
View
Deep Learning con Python
on Amazon
Show steps
Show steps
Show steps
- Read chapters on model deployment and serving.
Explore Flask tutorials
Show steps
Provides hands-on experience with Flask, a crucial framework for deploying ML models.
Browse courses on
Flask
Show steps
Show steps
Show steps
- Follow online Flask tutorials.
- Create a simple Flask application.
Three other activities
Expand to see all activities and additional details
Show all six activities
Practice using Postman for API testing
Show steps
Develops proficiency in using Postman, an essential tool for testing deployed ML models.
Browse courses on
Postman
Show steps
Show steps
Show steps
- Complete Postman tutorials.
- Create test cases for your deployed ML pipeline.
Build a basic ML deployment pipeline
Show steps
Applies the learned concepts by creating a functional ML deployment pipeline.
Browse courses on
Model Deployment
Show steps
Show steps
Show steps
- Design the deployment architecture.
- Implement the pipeline using Flask.
- Deploy and test the pipeline on Heroku.
Create a blog post or presentation
Show steps
Solidifies understanding of model deployment and allows you to share knowledge with others.
Browse courses on
Model Deployment
Show steps
Show steps
Show steps
- Choose a topic related to model deployment.
- Research and gather information.
- Write and edit your blog post or presentation.
Career center
Learners who complete Despliegue de modelos Deep Learning: Flask, heroku, Postman will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
As a Data Scientist, you will use artificial intelligence and machine learning to analyze data and assist companies in making better choices. The primary focus of Deep Learning is on the development of artificial neural networks, which Data Scientists leverage to make computers smarter by enabling them to learn from and imitate human behavior and problem-solving techniques. In this course, you will learn about Deep Learning models in production, using tools such as Flask, Heroku, and Postman, which will all be valuable for a Data Scientist.
Machine Learning Engineer
Machine Learning Engineer
Working as a Machine Learning Engineer, you will be responsible for designing, developing, and maintaining machine learning models. Deep Learning is a subfield of Machine Learning, and in this course, you will learn about deploying Deep Learning models in production, using tools such as Flask, Heroku, and Postman, which will be essential to your work as a Machine Learning Engineer.
Software Engineer
Software Engineer
In your role as a Software Engineer, you will design, develop, and maintain software applications. Deep Learning models are often used in software applications today, and this course will teach you about deploying Deep Learning models in production, using tools such as Flask, Heroku, and Postman, which will be essential to your work as a Software Engineer.
Data Analyst
Data Analyst
As a Data Analyst, you will collect, clean, and analyze data to help companies make better decisions. Deep Learning is a rapidly growing field that is being used in a variety of industries to analyze data and solve problems. This course will teach you about deploying Deep Learning models in production, using tools such as Flask, Heroku, and Postman, which will be valuable for a Data Analyst.
Artificial Intelligence Engineer
Artificial Intelligence Engineer
Working as an Artificial Intelligence Engineer, you will design, develop, and maintain artificial intelligence systems. Deep Learning is a subfield of Artificial Intelligence, and in this course, you will learn about deploying Deep Learning models in production, using tools such as Flask, Heroku, and Postman, which will be essential to your work as an Artificial Intelligence Engineer.
Research Scientist
Research Scientist
As a Research Scientist, you will conduct research in a variety of fields, including artificial intelligence and machine learning. Deep Learning is a rapidly growing field, and this course will teach you about deploying Deep Learning models in production, using tools such as Flask, Heroku, and Postman, which will be valuable for a Research Scientist.
Product Manager
Product Manager
As a Product Manager, you will be responsible for the development and launch of new products. Deep Learning is a rapidly growing field that is being used in a variety of industries to develop new products and services. This course may be useful for a Product Manager who wants to learn more about Deep Learning and how it can be used to develop new products.
Business Analyst
Business Analyst
As a Business Analyst, you will help companies improve their business processes. Deep Learning is a rapidly growing field that is being used in a variety of industries to improve business processes. This course may be useful for a Business Analyst who wants to learn more about Deep Learning and how it can be used to improve business processes.
Management Consultant
Management Consultant
As a Management Consultant, you will help companies improve their operations and performance. Deep Learning is a rapidly growing field that is being used in a variety of industries to improve operations and performance. This course may be useful for a Management Consultant who wants to learn more about Deep Learning and how it can be used to improve operations and performance.
Data Engineer
Data Engineer
As a Data Engineer, you will design and build systems to store and process data. Deep Learning is a rapidly growing field that is being used in a variety of industries to store and process data. This course may be useful for a Data Engineer who wants to learn more about Deep Learning and how it can be used to store and process data.
Quantitative Analyst
Quantitative Analyst
As a Quantitative Analyst, you will use mathematical and statistical models to analyze data and make predictions. Deep Learning is a rapidly growing field that is being used in a variety of industries to analyze data and make predictions. This course may be useful for a Quantitative Analyst who wants to learn more about Deep Learning and how it can be used to analyze data and make predictions.
Financial Analyst
Financial Analyst
As a Financial Analyst, you will analyze financial data to make investment recommendations. Deep Learning is a rapidly growing field that is being used in the financial industry to analyze financial data and make investment recommendations. This course may be useful for a Financial Analyst who wants to learn more about Deep Learning and how it can be used to analyze financial data and make investment recommendations.
Marketing Analyst
Marketing Analyst
As a Marketing Analyst, you will analyze marketing data to improve marketing campaigns. Deep Learning is a rapidly growing field that is being used in the marketing industry to analyze marketing data and improve marketing campaigns. This course may be useful for a Marketing Analyst who wants to learn more about Deep Learning and how it can be used to analyze marketing data and improve marketing campaigns.
Operations Research Analyst
Operations Research Analyst
As an Operations Research Analyst, you will use mathematical and statistical models to improve the efficiency of operations. Deep Learning is a rapidly growing field that is being used in a variety of industries to improve the efficiency of operations. This course may be useful for an Operations Research Analyst who wants to learn more about Deep Learning and how it can be used to improve the efficiency of operations.
Actuary
Actuary
As an Actuary, you will use mathematical and statistical models to assess risk. Deep Learning is a rapidly growing field that is being used in the insurance industry to assess risk. This course may be useful for an Actuary who wants to learn more about Deep Learning and how it can be used to assess risk.
For more career information including salaries, visit:
OpenCourser.com/course/b4q4er/despliegue
Reading list
We've selected seven books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Despliegue de modelos Deep Learning: Flask, heroku, Postman.
Este libro, escrito por el creador de Keras, ofrece una guía completa sobre el aprendizaje profundo con Python, cubriendo una amplia gama de técnicas y aplicaciones.
Save
Este libro se centra específicamente en el aprendizaje profundo con Python, brindando una cobertura en profundidad de técnicas y aplicaciones avanzadas.
Este libro práctico brinda instrucción sobre el uso de bibliotecas populares como Scikit-Learn, Keras y TensorFlow para construir y desplegar modelos de aprendizaje automático.
Este libro explora el uso del aprendizaje profundo para el procesamiento del lenguaje natural, cubriendo técnicas de vanguardia y aplicaciones en áreas como la traducción automática y el reconocimiento de voz.
Este libro ofrece una guía completa sobre el uso de Flask para desarrollar aplicaciones web con Python.
Este libro proporciona una introducción accesible a los conceptos de aprendizaje automático, lo que lo convierte en una lectura útil para aquellos que buscan antecedentes sobre el tema.
Este libro proporciona una introducción práctica a la programación en Python, lo que lo convierte en un recurso valioso para aquellos que buscan adquirir habilidades básicas de programación.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/b4q4er/despliegue
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Effort
2 horas
Level
Intermediate
Via
Coursera
Institution
Coursera Project Network
Instructor
Leire Ahedo
Language
Español
Good to know
Esta diseñado para estudiantes que buscan implementar modelos de Deep Learning en producción
Requiere conocimientos previos en Deep Learning
Proporciona herramientas y técnicas de implementación en producción
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