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AI Workflow: Enterprise Model Deployment (Coursera) Coursera
IBM

AI Workflow: Enterprise Model Deployment (Coursera)

Embark on the fifth course of IBM's AI Enterprise Workflow Certification Specialization, designed to equip you with essential skills in deploying AI models at an enterprise level. This course focuses on utilizing Spark effectively and integrating it into a seamless workflow. Ideal for those looking to enhance their data science capabilities and implement AI solutions efficiently within large organizations.

Sep 7th 2026
2 Weeks
AI Workflow: AI in Production (Coursera) Coursera
IBM

AI Workflow: AI in Production (Coursera)

Embark on an advanced journey with 'AI Workflow: AI in Production', where you'll learn how to effectively deploy AI models within enterprise settings. This course is part of the comprehensive IBM AI Enterprise Workflow Certification Specialization, designed for those who want to take their understanding and application of AI from theory to practice. Gain insights into model deployment strategies, monitoring techniques, and management best practices at a streaming media company scenario using IBM Watson Machine Learning.

Sep 7th 2026
4 Weeks
The Fundamental of Data-Driven Investment (Coursera) Coursera
Sungkyunkwan University - SKKU

The Fundamental of Data-Driven Investment (Coursera)

Discover the secrets to successful investment with 'The Fundamental of Data-Driven Investment' course on Coursera. This course will equip you with essential skills in analyzing investments using R programming, enabling you to make informed decisions based on data-driven insights. Whether you're a beginner or looking to refine your expertise, this course offers practical knowledge and hands-on experience.

Sep 7th 2026
4 Weeks
Introduction to Data Science and scikit-learn in Python (Coursera) Coursera
LearnQuest

Introduction to Data Science and scikit-learn in Python (Coursera)

Dive into the world of data science and artificial intelligence with our beginner-friendly course. Learn how to use Python effectively for hypothesis creation and testing, explore key concepts in EDA, and master powerful tools such as Numpy, Pandas, and scikit-learn. This course is perfect for those new to data science who want to build a strong foundation.

Sep 7th 2026
4 Weeks