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Self Paced

MLOps: Machine Learning Operations

Operationalize AI: Streamline and Scale Machine Learning Workflows with MLOps

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Enroll now for early access of e-LMS

MODE
Virtual (Google Meet)

TYPE
Self Paced

LEVEL
Moderate

DURATION
3 Weeks

About

MLOps is the practice of integrating machine learning workflows into production environments efficiently. This program covers best practices for deploying, monitoring, and maintaining machine learning models in real-world applications. Participants will explore tools for continuous integration, versioning, and model management, focusing on scalability and automation.

Aim

To equip PhD scholars, data scientists, and AI professionals with advanced knowledge of MLOps practices, integrating machine learning models into production environments. This course focuses on scaling, automating, and managing ML workflows, ensuring continuous deployment and monitoring.

Program Objectives

Understand MLOps principles for deploying and managing machine learning models.
Set up CI/CD pipelines for ML workflows.
Implement model monitoring and retraining strategies.
Gain hands-on experience with deployment automation tools.
Explore tools for scaling ML pipelines in production environments.

Program Structure

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

Module 8: Final Project

Design an AI solution for a retail or e-commerce problem
Focus on areas like Personalization, Inventory Management, or Customer Engagement

Participant’s Eligibility

Data scientists, machine learning engineers, AI researchers, DevOps professionals focusing on operationalizing machine learning workflows.

Program Outcomes

Proficiency in building and managing scalable ML workflows.
Hands-on experience with CI/CD pipelines for machine learning models.
Skills in deploying and monitoring models in production.
Ability to automate ML retraining and model versioning processes.

Fee Structure

Standard Fee: INR ~~5,998~~ USD 90

Discounted Fee: INR 2,999 USD 45

We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!

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Key Takeaways

Program Assessment

Certification to this program will be based on the evaluation of following assignment (s)/ examinations:

Exam	Weightage
Mid Term Assignments	50 %
Project Report Submission (Includes Mandatory Paper Publication)	50 %

To study the printed/online course material, submit and clear, the mid term assignments, project work/research study (in completion of project work/research study, a final report must be submitted) and the online examination, you are allotted a 1-month period. You will be awarded a certificate, only after successful completion/ and clearance of all the aforesaid assignment(s) and examinations.