Coursera – Machine Learning Engineering for Production (MLOps) Specialization 2024-3

Description

Machine Learning Engineering for Production (MLOps) Specialization is a training course to become a machine learning specialist. Understanding the concepts of machine learning and deep learning is essential, but if you are looking to build an effective artificial intelligence specialty, you also need production engineering facilities. Effective development of machine learning models requires competencies that are more commonly found in areas such as software engineering and DevOps. Machine learning engineering for production is the result of combining the basic concepts of machine learning with the practical skills of modern software development and engineering roles.

In this course, you will become familiar with the possibilities, challenges and results of machine learning engineering in production. At the end of the course, you can apply your newly acquired skills in the development of pioneering artificial intelligence technologies to solve real-world problems.

Skills to learn in Machine Learning Engineering for Production (MLOps) Specialization:

• Manage machine learning systems
• Development, model and Pipelines data
• Machine learning engineering for production
• Doing work at the human level
• Concept Drift
• Baseline model
• Challenges of machine learning development
• Machine learning metadata
• Convolutional neural network

Course details:

Publisher: Coursera
Instructors: Andrew Ng , Cristian Bartolomé Arámburu , Robert Crowe and Laurence Moroney
Language: English
Level: Advanced
Number of Courses: 4
Duration: Assuming 5 Hours a Week, 4 Months

Courses in the Engineering Project Management Specialization series:

Course prerequisites:

Learners should have a working knowledge of AI and deep learning.
Learners should have intermediate Python skills and experience with any deep learning framework (TensorFlow, Keras, or PyTorch).
Learners should be proficient in basic calculus, linear algebra, and statistics.
We highly recommend that you complete the updated Deep Learning Specialization before starting this Specialization.

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Installation guide

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Subtitle: English and other languages

Quality: 720

This collection includes 4 different courses.

To get quizzes, codes, etc., refer to these two links: link 1, link 2

Course changes:

Version 2021/9 compared to version 2021/7, includes the fourth period (Deploying Machine Learning Models in Production) with course quizzes.

Version 2024/3 compared to version 2021/9 has increased by 1 lesson and 27 text files.

download link

Deploying Machine Learning Models in Productions

Download Course – 364 MB

Introduction to Machine Learning in Productions

Download Course – 617 MB

Machine Learning Data Lifecycle in Production s

Download Course – 390 MB

Machine Learning Modeling Pipelines in Productions

Download Course – 474 MB

File password (s): www.abc.com

Size

1.8 GB