| Attribute | Detail |
|---|---|
| Format | Online (e-LMS) |
| Level | Intermediate |
| Duration | 3 Weeks |
| Certification | e-Certification + e-Marksheet |
| Fee | ₹4249 / $56 |
| Tools | Python Jupyter Notebook Google Colab Microsoft Excel Relevant Online Databases |
About the AI in Retail and E-commerce Course
This program covers the use of AI in retail, including recommendation systems, demand forecasting, customer segmentation, and chatbots.
Learners will engage with case studies and hands-on projects to understand how AI enhances e-commerce platforms, automates inventory management, and personalizes user experiences.
Program Highlights
• Comprehensive coverage of AI in Retail and E from fundamentals to advanced applications
• Hands-on projects and real-world case studies in Science & Technology
• Expert-curated curriculum aligned with current industry standards
• Access to recorded lectures and e-LMS platform for flexible, self-paced learning
• e-Certification and e-Marksheet upon successful completion
• Dedicated mentor support and interactive doubt-clearing sessions
• Exposure to industry-standard tools and platforms used in Science & Technology
• Career-oriented training for academic and professional growth in Science & Technology
Course Curriculum
Module 1: Introduction to AI in Retail and E-commerce
- Overview of AI Applications in Retail
- E-commerce and Digital Transformation
- Benefits of AI: Personalization, Efficiency, and Automation
- Key AI Technologies: Machine Learning, NLP, and Computer Vision
Module 2: AI for Personalization and Customer Insights
- Personalized Product Recommendations (Collaborative Filtering, Content-Based)
- Customer Segmentation with AI
- Predictive Analytics for Customer Behavior
- AI-Driven Customer Relationship Management (CRM)
Module 3: AI in Inventory and Supply Chain Management
- Demand Forecasting with Machine Learning
- AI for Automated Inventory Management
- AI-Powered Supply Chain Optimization
- Case Studies in AI-Enhanced Supply Chains
Module 4: AI for Visual Search and Product Discovery
- Computer Vision for Visual Product Search
- AI-Powered Product Recommendations with Images
- Enhancing User Experience with Visual Search Tools
- Real-World Applications of AI in Product Discovery
Module 5: AI in Marketing and Sales Automation
- AI for Targeted Advertising and Marketing
- Chatbots and Conversational AI for Customer Engagement
- Predictive Analytics for Sales Performance
- Automating Customer Support with AI
Module 6: Fraud Detection and Security in E-commerce
- AI for Detecting Fraudulent Transactions
- Behavioral Analytics and Anomaly Detection
- AI-Driven Risk Management in Payment Systems
- Case Studies in AI for Fraud Prevention
Module 7: Ethics and Challenges of AI in Retail and E-commerce
- Privacy Concerns with AI in Retail
- Ethical Implications of Personalized Advertising
- AI Bias and Fairness in E-commerce Systems
- Regulatory and Compliance Issues
Tools, Techniques, or Platforms Covered
Python Jupyter Notebook Google Colab Microsoft Excel Relevant Online Databases
Real-World Applications
- Apply AI in Retail and E skills directly to academic research, thesis work, and publications
- Build a professional portfolio showcasing practical Science & Technology competencies
- Solve industry-relevant problems using AI in Retail and E methodologies and tools
- Contribute to open-source projects and collaborative research in Science & Technology
- Prepare for competitive examinations, interviews, and professional certifications in Science & Technology
Who Should Attend & Prerequisites
- Students pursuing degrees in Science & Technology, science, engineering, or related disciplines
- Working professionals seeking to upskill or transition into Science & Technology roles
- Researchers and academicians looking to adopt modern techniques in Science & Technology
- Entrepreneurs, freelancers, and self-learners interested in practical Science & Technology knowledge
Certification
