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Débute 4 June 2026 03:23

Se termine 4 June 2026

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AI Workflow: Enterprise Model Deployment

Embarquez pour un voyage transformateur avec le cinquième volet de la spécialisation en certification IBM AI Enterprise Workflow, "AI Workflow : Enterprise Model Deployment", proposé via Coursera. Conçu pour les professionnels de la science des données ayant un talent pour créer et mettre en œuvre des modèles d'apprentissage automatique, ce cours c.
via Coursera

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Aperçu

Embark on a transformative journey with the fifth installment of the IBM AI Enterprise Workflow Certification specialization, "AI Workflow:

Enterprise Model Deployment", offered through Coursera. Designed for data science professionals with a flair for creating and implementing machine learning models, this comprehensive course aims to elevate your expertise in deploying AI solutions within large-scale enterprise environments.

Discover the nuances of leveraging Apache Spark, a leading framework for executing machine learning models, alongside best practices in data manipulation, model training, and tuning.

The course culminates in the design and deployment of an advanced recommender system, rounding off with insights into cutting-edge model deployment technologies.

Key outcomes of the course include mastering Apache Spark's RDDs, dataframes, and pipelines, executing spark-submit scripts for Spark integration, understanding the mechanics behind collaborative and content-based filtering, constructing data ingestion pipelines with Apache Spark streaming, and deploying machine learning algorithms and models via Apache Spark's ML interface and from Watson Studio to Watson Machine Learning.

This specialized course is tailored for current data science practitioners eager to expand their capabilities in AI deployment within large enterprises. Prerequisites include completion of the first four courses in the IBM AI Enterprise Workflow specialization, a foundational grasp of linear algebra, proficiency in probability theories and distributions, familiarity with statistical concepts, an understanding of machine learning principles, and practical experience with Python and essential data science packages such as NumPy, Pandas, matplotlib, and scikit-learn, in addition to a basic acquaintance with IBM Watson Studio and the design thinking process.

Categories include Artificial Intelligence Courses, Data Science Courses, Linear Algebra Courses, and Apache Spark Courses, positioning this course as an essential stepping stone for professionals aiming to make a significant impact in the realm of enterprise AI deployment.


Enseigné par

Mark J Grover and Ray Lopez, Ph.D.


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