AI Workflow: Enterprise Model Deployment
Master enterprise-scale model deployment using Apache Spark, Docker, and IBM Watson Machine Learning.
Master enterprise-scale model deployment using Apache Spark, Docker, and IBM Watson Machine Learning.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full IBM AI Enterprise Workflow Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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Instructors:
English
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What you'll learn
Deploy scalable ML models using Apache Spark
Implement Docker containers for model deployment
Develop enterprise-grade recommender systems
Optimize model performance at scale
Utilize IBM Watson Machine Learning services
Skills you'll gain
This course includes:
0.4 Hours PreRecorded video
8 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 2 modules in this course
This comprehensive course focuses on deploying machine learning models in large enterprise environments. Students learn to use Apache Spark for scalable model deployment, implement containerization with Docker, and work with IBM Watson Machine Learning. The curriculum covers high-performance computing, recommender systems development, and enterprise-scale data pipelines, with hands-on tutorials and case studies.
Deploying Models
Module 1 · 5 Hours to complete
Deploying Models using Spark
Module 2 · 4 Hours to complete
Fee Structure
Instructors
Digital Content Delivery Lead at IBM with Extensive Experience in Information Technology Education
Mark J. Grover is a Digital Content Delivery Lead at IBM, specializing in the creation and delivery of online educational content. Before joining IBM, he was a full-time professor of computer technology at Cape Fear Community College in Wilmington, NC, where he coordinated the Information Security program and taught various courses including Computer Security and Network Administration. Grover has over 25 years of experience in information technology and has received accolades such as the Cisco Instructor of Excellence award and the Award for Excellence in Innovation from the University of North Carolina Wilmington. He is passionate about outdoor activities like camping and mountain biking, and enjoys spending time with his family.
Expert in Data Science and AI Education
Ray Lopez, Ph.D., is a prominent technical and educational expert with over 30 years of experience in various fields, including software development, system administration, and technical architecture. He has a strong background in basic research in neuroscience and artificial intelligence, which complements his extensive teaching experience at the university level in subjects such as science, mathematics, statistics, and philosophy. Currently serving as the Data Science Curriculum Leader at IBM, Dr. Lopez is dedicated to developing education and certification programs that enhance skills in data science.His current projects focus on creating comprehensive courses that cover critical aspects of AI workflows, including data analysis, machine learning, and enterprise model deployment. Dr. Lopez's work aims to bridge the gap between business priorities and technical implementations, equipping learners with the necessary tools to succeed in the evolving landscape of data science and AI technologies.
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4.2 course rating
50 ratings
Frequently asked questions
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