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 AIXplorers Enrolled
Beginner
English
This Course Includes:
  • 9h 35m
  • 53 Lectures
  • Full Lifetime Access
  • Access On Mobile And Tv
  • Certificate On Completion

Overview

What will AIXplorers learn in this course?
  • 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.
What are the requirements or prerequisites for taking this course?
  • 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.
Who is the course for?
  • 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.
Description

Course Content

  • 7 Sections
  • 53 Lectures
  • 9h 35m Total Length
Section 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.

Time 2h 57m
Lectures 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
Section 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.

Time 1h 02m
Lectures 4
Section 3
UNDERSTANDING GPT FOR GENERATIVE AI

Architecture and Features of ChatGPT

Time 1h 15m
Lectures 8
Section 4
LEARN PROMPT ENGINEERING

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

Time 1h 11m
Lectures 18
Section 5
UNDERSTANDING COMPONENTS OF GENERATIVE AI

Lets learn to build applications

Time 34m
Lectures 3
Section 6
BUILDING USE CASES HANDS-ON

Retail applications

Time 2h 16m
Lectures 7
Section 7
Discussion Topics

Let's discuss ey topics before we go

Time 18m
Lectures 2

About Tutor

Swapnil Saurav
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Biography

Swapnil Saurav is an established management professional, tech enthusiast, and lifelong learner. Saurav showcases over 20 years of expertise in the development of enterprise applications, which is bolstered by his competitive business acumen and deep understanding of customer challenges. This has equipped him to drive exceptional business growth in fiercely competitive market standings. His proficiencies extend across various business sectors such as CPG, Retail, Supply Chain Management and Healthcare Industries. He possesses an in-depth understanding of process consulting, market analysis, product development, and project management.

Additionally, to his professional success, Saurav holds 7 patents and is an author of multiple books on Technology and Management. Saurav's patents are in the areas of Data Science. He has written books on Python Programming, SQL Programming, Machine Learning, Artificial Intelligence, Data Visualization, Retail Management, and Supply Chain Management. He has been invited by various technical and management colleges in India to speak on the latest technologies and management trends. Saurav holds an MBA from SP Jain Institute of Management & Research (Mumbai, India), an MTech from BITS Pilani (Pilani, India), with Bachelor's degree in Computer Science & Engineering (VTU, Belgaum, India). He is currently pursuing PhD from GITAM University (Hyderabad, India) in the areas of Augmented Reality.

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