MASTERCLASS: Generative AI for Transformative Retail Management
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MASTERCLASS: Generative AI for Transformative Retail Management

Mastering Generative AI Strategies & Applications to Drive Retail Transformation

0 immatrikulierte AIXplorer
Anfänger
English
Dieser Kurs beinhaltet:
  • 9h 35m
  • 53 Lektion
  • Lebenslanger Zugriff
  • Zugriff über Mobildgerät und Fernseher
  • Zertifikat nach Abschluss

Überblick

Was werden AIXplorers in diesem Kurs lernen?
  • Introduction to Generative AI: Understand the fundamentals of generative AI and its role in transforming retail management.
  • AI-Enhanced Content Creation: Learn to generate marketing content, product descriptions, and promotional materials using generative AI tools.
  • Practical Applications and Case Studies: Analyze real-world case studies to see how leading retailers are leveraging generative AI to gain a competitive ed
  • Ethical Considerations and Best Practices: Understand the ethical implications of using AI in retail and learn best practices for responsible AI deployment
  • Automating Customer Service: Understand the use of AI in developing chatbots and virtual assistants to provide efficient and effective customer service.
Was sind die Anforderungen oder Voraussetzungen für die Teilnahme an diesem Kurs?
  • Basic Understanding of Retail Operations: A general knowledge of retail management and operations will help students grasp the applications of AI in this f
  • Technical Requirements: Access to a computer with an internet connection. Students should be comfortable with using online tools and software.
  • Eagerness to Learn: A willingness to explore new technologies and their applications in retail management.
An wen richtet sich der Kurs?
  • Retail Managers and Executives: Professionals looking to enhance their understanding of AI and its potential to transform retail operations and strategy.
  • Marketing and Sales Professionals: Individuals seeking to leverage AI for customer insights, personalized marketing, and sales optimization.
  • Data Analysts and Scientists: Those interested in applying AI and machine learning techniques to retail data for improved decision-making.
  • Entrepreneurs and Business Owners: Retail business owners aiming to adopt cutting-edge technology to stay competitive in the market.
  • Students and Academics: Individuals studying retail management, business, or technology who want to understand the impact of AI in the retail industry.
  • Tech Enthusiasts: Anyone with a keen interest in the latest technological advancements and their practical applications in the retail sector.
Beschreibung

Kursinhalte

  • 7 Kapitel
  • 53 Lektion
  • 9h 35m Gesamtlänge
Kapitel 1
INTRODUCTION TO GENERATIVE AI

Generative AI represents a paradigm shift in how machines interact with data, enabling them not just to analyze and interpret but to create entirely new content.

Zeit 2h 57m
Lektion 11
How AI can unlock value
0:33:14
Understanding Generative AI: Concepts and Evolution
0:18:12
Understanding Autoencoders concept in Machine Learning
0:12:52
Variational Auto Encoders - VAEs
0:09:57
Gen AI Use Cases and High Level Walkthrough of the underlying architecture in Retail Management
0:30:35
How Walmart is Harnessing GenAI Power (Based on information in public domain)
0:17:28
Addressing challenges of AI in Retail
0:07:42
Ethical consideration of using AI in Retail
0:04:43
Understanding Generative Adversarial Networks - GAN
0:22:32
Kapitel 2
UNDERSTANDING MACHINE LEARNING PROCESSES

This section is for those who need an introduction to machine learning. If you understand the Machine Learning concepts, feel free to skip this section.

Zeit 1h 02m
Lektion 4
Kapitel 3
UNDERSTANDING GPT FOR GENERATIVE AI

Architecture and Features of ChatGPT

Zeit 1h 15m
Lektion 8
Kapitel 4
LEARN PROMPT ENGINEERING

Let's learn prompt engineering technique before we get into Retail applications

Zeit 1h 11m
Lektion 18
Kapitel 5
UNDERSTANDING COMPONENTS OF GENERATIVE AI

Lets learn to build applications

Zeit 34m
Lektion 3
Kapitel 6
BUILDING USE CASES HANDS-ON

Retail applications

Zeit 2h 16m
Lektion 7
Kapitel 7
Discussion Topics

Let's discuss ey topics before we go

Zeit 18m
Lektion 2

Über Tutor

Swapnil Saurav
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