AI in Marketing
The course covers the following topics: leveraging digital platform data for competitive advantage, generating personalized AI Relationship Moments, constructing networked business models, and enhancing customer engagement with data-driven AI.
Description for AI in Marketing
Features of Course
Level: Beginner
Certification Degree: Yes
Languages the Course is Available: 22
Offered by: On Coursera provided by University of Virginia
Duration: 10 hours to complete
Schedule: Flexible
Pricing for AI in Marketing
Use Cases for AI in Marketing
FAQs for AI in Marketing
Reviews for AI in Marketing
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for AI in Marketing
Utilize Generative AI to optimize marketing creativity. Explore the potential of Generative AI to revolutionize and influence your marketing organization.
Featured Tools
Through practical experiments utilizing TensorFlow and Google Cloud Platform, this�course offers a thorough grasp of machine learning, from strategy to deployment.
The course concentrates on the development of an HTML framework for a Plotly Dash dashboard that includes interactive scatter plots, bar charts, radio buttons, and dropdowns. It emphasizes the evaluation of model performance and the visualization of dimensionality reduction outcomes.
Learn to use Python and libraries for data tasks, understand key machine learning techniques, and apply them to real-world datasets for a strong research foundation.
This course offers a concise summary of essential multivariate calculus for machine learning, including practical tools, vector calculations, function approximation, and neural network applications, to build confidence for advanced studies.
Learn the Rasa framework to create AI-powered chatbots, which is suitable for Python programmers who are new to chatbot development and lack prior machine learning experience. This course covers the fundamental components and practical applications.