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
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
An extensive study of the applications of AI in marketing, ranging from competitive analysis to content optimization and conversion enhancement.
Gain extensive knowledge in AI technologies relevant to digital marketing, involving precise data analysis, content creation, and tools for optimizing social media and consumer segmentation.
Learn how AI and generative AI are revolutionizing digital marketing by enhancing content creation, strategy integration, and marketing outcomes.
Explore how to optimize customer interactions, improve content creation, and increase productivity by incorporating automation and AI into digital marketing.
Master the art of producing professional-quality videos with Invideo AI, beginning with the fundamentals and progressing to more complex techniques, all while receiving expert guidance and real-world case studies.
Utilize Generative AI to optimize marketing creativity. Explore the potential of Generative AI to revolutionize and influence your marketing organization.
Featured Tools
This course covers Python programming, TensorFlow for linear regression, and app development for stock market prediction.
Explore the world of AI-powered language processing by acquiring the skills necessary to construct chatbots, analyze sentiment, and incorporate AI insights into practical applications.
Explore the topic of AI-powered personalization by acquiring the skills necessary to utilize LangChain and ChatGPT.
Acquire an extensive understanding of reinforcement learning, deep neural networks, clustering, and dimensionality reduction to effectively address real-world machine learning challenges.
In order to balance or improve the integration of AI in education, this course examines conversational AI technologies and provides evaluation designs.
Compare & Review AI Tool Directory AI Course Marketplace
