Generative AI for marketing : augment marketing campaigns with GenAI.

Format:

Video

Contributor:

Shroff, Rajendra, instructor.

O'Reilly (Firm), publisher.

Language:

English

Subjects (All):

Artificial intelligence--Marketing applications.

Artificial intelligence.

Marketing--Data processing.

Marketing.

Marketing--Technological innovations.

Physical Description:

1 online resource (1 video file (3 hr., 32 min.)) : sound, color

Edition:

[First edition].

Place of Publication:

[Place of publication not identified] : O'Reilly Media, Inc., [2025]

Summary:

This course provides marketing professionals with practical knowledge and skills to leverage Generative AI tools, including Large Language Models (LLMs) and Diffusion Models in marketing campaigns and activities. Participants will learn how to augment their marketing activities using generative AI, integrate generative AI into their organization's marketing strategy, and use AI tools to have a more powerful impact on customers. What you'll learn and how to apply it Understand how best to leverage Generative AI tools for their organization's marketing activities Effectively use Large Language Models such as ChatGPT for marketing and content creation activities Use AI image generation tools to create compelling visuals and graphics for marketing purposes Explain different approaches for developing internal Generative AI tools tailored to your company's marketing needs while mitigating potential limitations This course is for you because You are a marketing professional that seeks to understand and become proficient in using Generative AI tools for marketing activities. You are a marketing team leader or department head that seeks to understand how best to integrate Generative AI tools into Marketing workflows and processes. Prerequisites A conceptual understanding of marketing, either through study or work experience A general awareness of Generative AI is a plus, though not necessary Course Materials GitHub Repository.

Notes:

OCLC-licensed vendor bibliographic record.

OCLC:

1508835718

Publisher Number:

0642572089214