AI And Operations Masterclass: 100 Lesson Knowledge Booster

Master AI in Operations: Supply Chain Optimization, Predictive Maintenance, Demand Forecasting, AI-Driven Quality Contr

Created by: Peter Alkema
Business | Technology | Self Development

Created by: Irlon Terblanche
CEO at SioTech

What Will I 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.

Requirements

• There are no requirements or prerequisites for this course, but the items listed below are a guide to useful background knowledge which will increase the value and benefits of this course.
• Basic understanding of operations management principles and practices.
• Familiarity with the fundamentals of artificial intelligence and machine learning.
• Access to a computer with internet connection to use AI software tools and platforms.

Target audience

• Operations Managers eager to leverage AI for enhancing operational efficiency and decision-making.
• Supply Chain Analysts interested in applying AI for logistics optimization and inventory management.
• Maintenance Engineers looking for AI-driven predictive maintenance solutions.
• HR Professionals focusing on using AI for talent management and workforce optimization.
• Manufacturing Executives seeking to integrate AI into production planning and quality control.
• Business Strategists aiming to incorporate AI for competitive advantage and strategic decision-making.