AI And Operations Masterclass: 100 Lesson Knowledge Booster
Master AI in Operations: Supply Chain Optimization, Predictive Maintenance, Demand Forecasting, AI-Driven Quality Contr
4.32 (52 reviews)
318
students
6 hours
content
Dec 2024
last update
$19.99
regular price
What you will learn
Explain the role of artificial intelligence in modern operations management, demonstrating an understanding of its impact.
Identify and describe various artificial intelligence technologies used in operations management, showing knowledge of their functions.
Trace the historical evolution of artificial intelligence in industry, highlighting key milestones.
Evaluate the key benefits of artificial intelligence adoption for operations managers, applying critical thinking.
Analyze the challenges and limitations of implementing artificial intelligence in operations management, providing solutions.
Apply AI techniques to streamline logistics and distribution, demonstrating improvement in efficiency.
Utilize AI in supplier selection and management to enhance decision-making processes.
Implement real-time inventory management using artificial intelligence, demonstrating a decrease in stockouts and overstock.
Compare traditional and AI-driven supply chain transformation, illustrating the benefits through a case study.
Apply predictive analytics for supply chain risk management, demonstrating a reduction in risk exposure.
Integrate AI into procurement processes, showing a measurable increase in process efficiency.
Design and implement a sustainability plan in supply chains using AI, demonstrating a reduction in carbon footprint.
Develop AI models for predictive maintenance, demonstrating increased equipment uptime.
Integrate AI with existing maintenance infrastructure, showing seamless operation and efficiency improvement.
Conduct a cost-benefit analysis of AI-based maintenance systems, demonstrating financial viability.
Utilize AI methods for both short-term and long-term demand forecasting, demonstrating improved forecast accuracy.
Implement dynamic pricing strategies using AI-enhanced forecasting, showing an increase in revenue.
Analyze customer data using AI-driven techniques, demonstrating enhanced customer insights.
Create machine learning models for defect detection in quality control, demonstrating an increase in detection rate.
Plan and execute a strategic workforce planning using AI, demonstrating improved alignment with business goals.
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6019140
udemy ID
6/11/2024
course created date
10/22/2024
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