Instructor-led Generative AI In Retail Certification live Online Training Schedule

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35,000.00
Duration: 60 Hours

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About your Generative AI In Retail Certification Training

Skills Covered

Tools Covered

Generative AI In Retail Certification Training Syllabus

Curriculum Designed by Experts

Topics
  • What is Generative AI?
  • History and Evolution of Generative AI
  • Key Concepts and Terminology
Topics
  • Understanding Generative Adversarial Networks (GANs)
  • Variational Autoencoders (VAEs)
  • Transformer Models (GPT)
Topics
  • AI in Customer Engagement and Personalization
  • AI for Inventory and Supply Chain Management
  • AI in Marketing and Sales Optimization
  • AI for Product Recommendations
Topics
  • Basic Tools and Frameworks
  • Introduction to Python and Libraries
  • Working with AI Platforms
Topics
  • Developing AI-driven Customer Service Chatbots
  • Creating Personalized Marketing Campaigns
  • Optimizing Inventory Management with AI
  • Enhancing Product Recommendations with AI
Topics
  • Ethics in Generative AI
  • Addressing Bias and Fairness
  • Ensuring Data Privacy and Security
  • Regulatory Compliance
Topics
  • Successful Implementations of Generative AI in Retail
  • Lessons Learned from Industry Leaders
  • Future Trends and Opportunities

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Why Generative AI In Retail Certification Training From Xpertised Learning

Live Interactive Classes

  • Top-Tier Trainers
  • Real Time Guidance by Industrial Experts
  • In Class Doubt Clearance

Resource Access

  • Life Time Access to Resource Library

Support

  • One-to-One Lab and Training Assistance
  • Help Desk Support
  • Doubt Clearance in Real-time

Project Based Learning

  • Labs and Learning Based from Industrial Experts
  • Learning Based on Project Scenarios

Certification

  • Xpertised Learning Training Certificate
  • Certificate of Completion

Labs

  • Cloud based Labs *Labs based on course requirement only

Generative AI In Retail Certification Training Details

This course offers an in-depth exploration of generative AI, focusing on how it can be applied to various aspects of retail, including customer engagement, inventory management, personalized marketing, and product recommendations. Participants will learn practical techniques for implementing generative AI solutions in retail settings.

  • Develop expertise in using generative AI to enhance retail operations, increasing your value in roles focused on retail innovation and optimization.
  • Boost your career prospects by mastering generative AI for retail, making you an attractive candidate for positions in retail technology and analytics.
  • Stay ahead in the retail industry by acquiring skills in generative AI, ensuring your ability to drive data-driven improvements in customer experience and operational efficiency.
  • Develop a strategic understanding of generative AI.
  • Hands-on experience with practical retail applications.
  • Improved decision-making skills using AI insights.
  • Access to a network of AI professionals and retail experts.
  • Understanding and implementing generative AI models
  • Developing AI-driven retail solutions
  • Ethical considerations and best practices in AI
  • Strategic integration of AI in retail processes
  • Python programming language
  • AI frameworks and libraries (TensorFlow, PyTorch, Keras)
  • Business intelligence tools
  • AI platforms (AWS, Azure, GCP)
  • Understand the core concepts and techniques of generative AI.
  • Apply generative AI to solve retail challenges.
  • Develop AI-driven solutions for customer engagement, inventory management, and marketing.
  • Address ethical and regulatory considerations in AI implementation.
  • Retail Managers
  • Marketing Professionals
  • Product Managers
  • Data Analysts
  • IT Professionals
  • Anyone interested in leveraging AI for retail innovation
  • Basic understanding of retail operations
  • Familiarity with basic programming concepts (Python preferred but not required)
  • Fundamental and advanced concepts of generative AI
  • Practical applications of AI in retail
  • Developing AI-driven retail solutions
  • Ethical considerations and best practices in AI
  • A computer with an internet connection
  • Basic programming tools (Python and libraries)
  • Access to AI platforms (AWS, Azure, GCP)
  • Retail Manager
  • AI Strategist
  • Marketing Analyst
  • Product Manager
  • Data Analyst
  • IT Manager

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