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

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The Machine Learning Engineering for Production (MLOps) specialization is the path to becoming a machine learning expert. Understanding machine learning and deep learning concepts is essential, but building effective artificial intelligence expertise also requires production engineering facilities. Effectively developing machine learning models requires competencies more commonly found in areas such as software engineering and DevOps. Machine Learning Engineering for Production is the result of combining the fundamental 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 consequences of machine learning engineering in production. At the end of the course, you will be able to apply your newly acquired skills to develop pioneering artificial intelligence technologies to solve real-world problems.

Skills you can learn in the Machine Learning Engineering for Production (MLOps) specialization:

  • Machine Learning Systems Management
  • development, model and pipeline data
  • Machine Learning Engineering for Production
  • Working at the human level
  • concept drift
  • reference model
  • Challenges of machine learning development
  • machine learning metadata
  • convolutional neural network

Course details:

Publisher: Coursera
teacher: Andrew Ng , Christian Bartolome Arambaru , robert crow and Lawrence Moroney
Language: English
Level: Advanced
Number of courses: 4
Period: Assuming 5 hours a week, 4 months

Courses in the Engineering Project Management Specialization Series:

Machine Learning Engineering for Production (MLOps) Specialization

Course Prerequisites:

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

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Machine Learning Engineering for Production (MLOps) Specialization

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Subtitles: English and other languages

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This collection includes four courses:

Please see the following two links to get quizzes, codes, and more: link 1, link 2

Course changes:

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

The 2024/3 version has one lesson and 27 more text files compared to the 2021/9 version.

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Deploy machine learning models in production

Course Download – 364MB

Introduction to Machine Learning in Production

Course Download – 617MB

Machine Learning Data Lifecycle in Production

Course Download – 390MB

Machine learning modeling pipeline in production

Course Download – 474MB

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