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Course Summary

This two-day course is designed to provide manufacturing professionals with a deep dive into AI applications that enhance productivity, quality control, and supply chain efficiency.

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Event Details

2 Days (virtual or on-site)
Instructor-led training with interactive Q&A, case studies, and practical applications

Description

This two-day course is designed to provide manufacturing professionals with a deep dive into AI applications that enhance productivity, quality control, and supply chain efficiency. Participants will learn how AI-driven automation, predictive maintenance, and real-time analytics can transform factory operations, reduce downtime, and boost efficiency.

Who Should Attend

  • Manufacturing managers & supervisors
  • Operations & production engineers
  • Quality assurance professionals
  • Supply chain & logistics managers
  • IT & AI implementation teams in manufacturing

Learning Objectives

Participants will learn how AI-driven automation, predictive maintenance, and real-time analytics can transform factory operations, reduce downtime, and boost efficiency.

Course Outline

Day 1: Foundations of AI in Manufacturing (4 Hours)

  1. Introduction to AI in Manufacturing
    • The evolution of AI in industrial settings
    • Why AI is crucial for modern manufacturing
    • Key trends: Machine learning, IoT, robotics
  2. AI Applications in Predictive Maintenance
    • How AI prevents equipment failures
    • Machine learning models for maintenance forecasting
    • Case studies: AI-driven maintenance success stories
  3. AI for Quality Control & Defect Detection
    • Machine vision for automated inspections
    • AI-enhanced quality assurance and process optimization
    • Hands-on demonstration: AI in defect detection
  4. Real-World AI Use Cases in Manufacturing
    • Industry examples: Automotive, electronics, and food processing Key benefits & challenges of AI implementation
    • Key benefits & challenges of AI implementation
  5. Live Q&A and Wrap-Up (12:30 PM – 1:00 PM)
    • Open forum discussion on AI adoption challenges
    • Key takeaways & preview of Day 2

Day 2: Advanced AI Strategies & Implementation (4 hours)

  1. AI-Driven Supply Chain Optimization
    • Demand forecasting with AI
    • AI-powered logistics and warehouse automation
    • Practical case study: AI-driven inventory management
  2. AI and Human Collaboration in Smart Factories
    • How AI augments workforce productivity
    • Ethical considerations & data privacy in AI adoption
  3. Implementing AI in Manufacturing
    • Steps for successful AI adoption
    • Selecting the right AI tools & vendors
    • Overcoming common adoption barriers
  4. Hands-On Case Study & Group Discussion
    • AI strategy workshop: Identifying AI opportunities in your plant
    • Group activity: Building a roadmap for AI adoption
  5. Final Q&A + Certificate of Completion (12:30 PM – 1:00 PM)
    • Open Q&A session
    • Certification awarded to participants

Prerequisites

Instructors

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