Overview
Discover the pivotal role of Machine Learning Operations (MLOps) in AI Engineering with the MLOps with Azure program at Statistics.com, offered through edX. This comprehensive course is designed for those aiming to bridge the gap between data engineering and data science to effectively deploy machine learning models using Microsoft Azure.
The journey into machine learning deployment extends beyond developing models; it involves engineering robust, automated, and self-monitoring data pipelines that not only support a model but also integrate seamlessly into actionable insights. This shift necessitates a breed of AI engineers who are versed in both domains to reduce delays and errors inherent in the traditional back-and-forth between data scientists and engineers.
Participating in this course, you’ll gain hands-on experience in collaborating with data scientists to set up machine learning models that continually learn from data to make predictions or decisions. Essential to this process is the automation of these models, highlighting the critical need for adept MLOps and AI engineering proficiencies.
You will delve into specific skills required to construct a proactive Microsoft Azure pipeline that specializes in:
- Ingesting data to train predictive models,
- Feeding ongoing operational models,
- Scoring data consistently,
- Executing resultant actions, and
- Seamlessly integrating with business applications.
The curriculum also covers continuous monitoring of various operational points such as incoming data to detect data drift and decision outputs to identify anomalies. Statistics.com, powered by the expertise of Elder Research, a data analytics leader since 1995, ensures that its training is infused with real-world problem-solving experiences, making it immediately applicable in professional settings.
This course is ideal for professionals seeking to enhance their career in Microsoft Azure, MLOps, or DevOps. Enroll today in the MLOps with Azure program on edX and set yourself on the path to becoming a proficient AI engineer skilled in the latest machine learning deployment technologies.
Categories: Microsoft Azure Courses, MLOps Courses, DevOps Courses.
Syllabus
Taught by
Tags