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Certificate in AI Logistics Analyst

Job Description

To train professionals to apply artificial intelligence (AI) tools and techniques to optimize logistics operations, enhance forecasting, and drive data-driven decision-making.


Objective: The Certified AI Logistics Analyst course is designed to provide participants with the technical and strategic knowledge to integrate AI into logistics and supply chain management. The course covers AI fundamentals, machine learning applications in logistics (such as demand forecasting, route optimization, and inventory management), natural language processing for customer service automation, and predictive analytics for risk management.

Eligibility Criteria

Criteria 1

Criteria 2

Experience

Training Qualification

12th

Pursuing Continuous Schooling

1 Year

None

12th

Passed

6 Months

None

Degree

Passed

No Experience

None


Sector

Artificial Intelligence

Certifying Bodies

National Education Training And Development

Type of Organisation

Board of Vocational Education

Learning Module In Job Role/Syllabus

Occupation Standards/Syllabus

NCO Code

Mandatory/ Optional

Duration

  • Module 1: Fundamentals of AI in Logistics and Supply Chain

  • Module 2: Data Management and AI Readiness in Logistics

  • Module 3: Predictive Analytics and Machine Learning Applications

  • Module 4: AI in Warehouse, Transport, and Last-Mile Optimization

  • Module 5: AI-Powered Decision Support and Risk Management

  • Module 6: AI Implementation Strategy and Future Trends in Logistics





N/A





Mandatory





6 Months


Career Opportunities

  • AI Logistics Analyst

  • Supply Chain Data & AI Analyst

  • Logistics Optimization Specialist

  • AI & Automation Consultant – Supply Chain

  • Smart Warehouse & Inventory Analyst


Duration Hours

Theory :

100

Practical :

100

Employability Skills :

20

OJT (Mandatory) :

20

Specializations in Course

  • AI & Machine Learning in Logistics

  • Predictive Analytics & Data Modeling

  • Inventory Forecasting & Demand Planning

  • Route Optimization & Fleet Management

  • Warehouse Automation & Smart Systems

  • ERP & SCM Software Integration

  • Data Visualization & KPI Reporting

  • Project Management & Solution Implementation


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