Follow a Machine Learning Workflow

Overview

Embark on a comprehensive journey through the machine learning workflow with the second course of the Certified Artificial Intelligence Practitioner (CAIP) professional certificate, offered exclusively on Coursera. This detailed course moves beyond basics and delves into each crucial step of the machine learning process, from the initial problem formulation to the final stages of model presentation and deployment.

Machine learning isn't just a series of tasks; it's a complete, cyclic workflow key to harnessing the full potential of AI technologies within a business.

Starting where the previous course left off, this training enables you to thoroughly explore the complexities of the workflow, including vital components like data analysis and model training. Learn not only to perform each task but also to automate these tasks to ensure the machine learning workflow can repeat as necessary, paralleling essential business operations.

This course isn't just educational; it's a gateway to mastering the practical frameworks required to develop numerous machine learning models, setting a robust foundation for further advanced studies in this rapidly advancing field.

Enroll now and advance your skills in Python, machine learning, project management, and data analysis through project-based learning.

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Taught by

Renée Cummings

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Subjects