Machine Learning Engineering for Production (MLOps) Specialization

Understanding machine learning and deep learning concepts is essential, but if you’re looking to build an effective AI career, you need production engineering capabilities as well.
Effectively deploying machine learning models requires competencies more commonly found in technical fields such as software engineering and DevOps. Machine learning engineering for production combines the foundational concepts of machine learning with the functional expertise of modern software development and engineering roles.
The Machine Learning Engineering for Production (MLOps) Specialization covers how to conceptualize, build, and maintain integrated systems that continuously operate in production. In striking contrast with standard machine learning modeling, production systems need to handle relentless evolving data. Moreover, the production system must run non-stop at the minimum cost while producing the maximum performance. In this Specialization, you will learn how to use well-established tools and methodologies for doing all of this effectively and efficiently.
In this Specialization, you will become familiar with the capabilities, challenges, and consequences of machine learning engineering in production. By the end, you will be ready to employ your new production-ready skills to participate in the development of leading-edge AI technology to solve real-world problems.

WHAT YOU WILL LEARN
- Design an ML production system end-to-end: project scoping, data needs, modeling strategies, and deployment requirements.
- Establish a model baseline, address concept drift, and prototype how to develop, deploy, and continuously improve a productionized ML application.
- Build data pipelines by gathering, cleaning, and validating datasets. Establish data lifecycle by using data lineage and provenance metadata tools.
- Apply best practices and progressive delivery techniques to maintain and monitor a continuously operating production system.

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Deploying Machine Learning Models in Production (Coursera)

Mar 27th 2024
Deploying Machine Learning Models in Production (Coursera)
Course Auditing
Categories
Effort
Languages
In the fourth course of Machine Learning Engineering for Production Specialization, you will learn how to deploy ML models and make them available to end-users. You will build scalable and reliable hardware infrastructure to deliver inference requests both in real-time and batch depending on the use case. You will [...]
Mar 27th 2024
Course Auditing
42.00 EUR/month

Machine Learning Modeling Pipelines in Production (Coursera)

Mar 25th 2024
Machine Learning Modeling Pipelines in Production (Coursera)
Course Auditing
Categories
Effort
Languages
In the third course of Machine Learning Engineering for Production Specialization, you will build models for different serving environments; implement tools and techniques to effectively manage your modeling resources and best serve offline and online inference requests; and use analytics tools and performance metrics to address model fairness, explainability [...]
Mar 25th 2024
Course Auditing
41.00 EUR/month

Machine Learning Data Lifecycle in Production (Coursera)

Mar 18th 2024
Machine Learning Data Lifecycle in Production (Coursera)
Course Auditing
Categories
Effort
Languages
In the second course of Machine Learning Engineering for Production Specialization, you will build data pipelines by gathering, cleaning, and validating datasets and assessing data quality; implement feature engineering, transformation, and selection with TensorFlow Extended and get the most predictive power out of your data; and establish the data [...]
Mar 18th 2024
Course Auditing
41.00 EUR/month

Introduction to Machine Learning in Production (Coursera)

Mar 18th 2024
Introduction to Machine Learning in Production (Coursera)
Course Auditing
Categories
Effort
Languages
In the first course of Machine Learning Engineering for Production Specialization, you will identify the various components and design an ML production system end-to-end: project scoping, data needs, modeling strategies, and deployment constraints and requirements; and learn how to establish a model baseline, address concept drift, and prototype the [...]
Mar 18th 2024
Course Auditing
42.00 EUR/month