![]() ![]() 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. In this Specialization, you will become familiar with the capabilities, challenges, and consequences of machine learning engineering in production. In this Specialization, you will learn how to use well-established tools and methodologies for doing all of this effectively and efficiently. Moreover, the production system must run non-stop at the minimum cost while producing the maximum performance. What Does Production Mean What is the definition of production Production may also refer to the goods being produced. In other words, it means the creation of something from basic inputs. In striking contrast with standard machine learning modeling, production systems need to handle relentless evolving data. Definition: Production is the method of turning raw materials or inputs into finished goods or products in a manufacturing process. ![]() The Machine Learning Engineering for Production (MLOps) Specialization covers how to conceptualize, build, and maintain integrated systems that continuously operate in production. ![]() Machine learning engineering for production combines the foundational concepts of machine learning with the functional expertise of modern software development and engineering roles. 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.Įffectively deploying machine learning models requires competencies more commonly found in technical fields such as software engineering and DevOps. ![]()
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