GenAI

Generative AI in Sales & Marketing, Product Research & Development,  Data Analytics, Ethics, & Governance of Generative AI

(0 review)
$1,266.00
GenAI_7_Dec 24
(All course fees are in USD)

 

Course Description

 

This Course consists of 5 modules as below:

 

GenAI in Sales & Marketing
  • Get ready for future of marketing with AI. Dive into digital strategies, AI, & role of Generative AI
  • Master automated copywriting, AI-powered segmentation, & dynamic campaigns
  • Predictive analytics, AI-driven customer retention, & ethical considerations

 

Tools Covered:

  • ChatGPT
  • Midjourney etc.

 

 

GenAI in Product Research & Development

Build up your skills in leveraging GenAI in:

  • Product management
  • Mastering AI-driven research design, development
  • Strategic planning
  • Navigating ethical considerations for GenAI
  • Preparing for next-generation Gen AI tools & technologies

 

 

GenAI in Data Analytics
  • Gain skills in getting data insights with Generative AI
  • This course covers both foundational & advanced analytics techniques
  • Learn essential skills, like data cleaning, transformation, & real-time integration, while also exploring ethical implications, quantum computing, & future of data generation

 

Tools Covered:

  • Excel
  • Jupyter

 

 

Ethics of GenAI
  • Navigate ethical landscape of Generative AI in business, focusing on data integrity, responsible AI deployment, compliance, social implications of AI-driven decisions

 

 

Governance of Generative AI
  • Comprehensive understanding of Generative AI governance, covering ethical frameworks, risk management, & governance structures
  • Navigate regulatory challenges, set up effective committees, & integrate ethical practices into AI projects for future success

 

 

Duration (Hours)

Total 24 hours Live Virtual Classes (LVCs)

Course Features

  • Students 0 student
  • Max Students1000
  • Duration24 hour
  • Skill levelall
  • LanguageEnglish
  • Re-take course10000
  • GenAI in Sales & Marketing

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  • GenAI in Product Research & Development

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  • GenAI in Data Analytics

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  • Ethics of GenAI

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  • Governance of Generative AI

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Instructor

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