Online/ e-LMS
Self Paced
Advanced
8 Week
About
AI for Supply Chain Management: Optimizing Logistics with Artificial Intelligence is a 10-week program designed for M.Tech and M.Sc students, as well as professionals in BFSI, IT services, and consulting. The course delves into AI applications such as forecasting, inventory management, and transportation logistics, and teaches participants to develop and implement AI models to optimize supply chains.
Aim
The course aims to equip participants with the skills to integrate AI into supply chain management, enhancing efficiency, reducing costs, and improving decision-making processes across logistics operations.
Program Objectives
- Comprehensive AI Application Skills: Develop skills to apply AI in various aspects of supply chain management.
- Strategic Implementation Knowledge: Learn to strategically integrate AI tools to optimize logistics operations.
- Ethical AI Deployment: Understand the ethical implications of deploying AI in supply chains.
Program Structure
- Introduction to AI in Supply Chain Management :Basics of supply chain management, fundamentals of AI, and their importance in modern logistics.
- Data Management and AI: Techniques for data collection, preparation, and analytics that underpin effective AI implementation.
- AI Techniques for Supply Chain Optimization: Using machine learning and predictive analytics for demand forecasting and inventory management.
- Real-Time Decision Making: Integration of IoT and AI for dynamic warehousing and transport logistics.
- Ethical AI and Future Trends: Ethical considerations in AI applications and preparing for future advancements in AI technologies within supply chains.
Participant’s Eligibility
- M.Tech, M.Sc students in Computer Science, IT, and related fields.
- Professionals in BFSI, IT services, consulting, and KPO interested in applying AI in supply chain management.
Program Outcomes
- Enhanced Supply Chain Efficiency: Mastery of AI applications that streamline operations and reduce costs.
- Improved Decision-Making: Ability to leverage AI for better forecasting, inventory management, and logistical planning.
- Innovative Problem Solving: Skills to implement cutting-edge solutions to modernize and transform supply chains.
Fee Structure
Standard Fee: INR 10,998 USD 198
Discounted Fee: INR 5499 USD 99
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!
List of CurrenciesBatches
Live
Certificate
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.
Program Deliverables
- Access to e-LMS
- Real Time Project for Dissertation
- Project Guidance
- Paper Publication Opportunity
- Self Assessment
- Final Examination
- e-Certification
- e-Marksheet
Placement Assistance
- Career Services: Workshops on resume preparation and job interviews, tailored for the logistics and AI fields.
- Networking Opportunities: Webinars and live sessions with industry leaders to provide insights and facilitate professional connections.
- Corporate Engagement: Partnerships with leading companies to align course content with industry demands and enhance employment opportunities.
Future Career Prospects
- AI Supply Chain Analyst: Develop and optimize supply chain strategies using AI.
- Logistics Innovation Manager: Drive innovations in logistics operations with AI applications.
- Supply Chain Data Scientist: Analyze data and improve supply chain decisions.
- AI Implementation Specialist: Oversee the deployment of AI technologies in supply chain environments.
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Recent Feedbacks In Other Workshops
The course was well communicated and interactive
lecture delivered well but the title of workshop was a little misleading
