AI And Operations Masterclass: 100 Lesson Knowledge Booster

via Udemy

Udemy

4052 Courses


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Overview

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

Syllabus

    - Introduction to AI in Operations Management -- Overview of AI applications in operations -- Historical context and evolution - Fundamentals of Supply Chain Optimization with AI -- AI techniques in supply chain management -- Real-time inventory management - Advanced Strategies in Supply Chain Management -- Machine learning for demand forecasting -- AI-driven supply chain resilience - Predictive Maintenance Techniques -- Introduction to predictive analytics -- Case studies on predictive maintenance - Demand Forecasting -- AI models for accurate forecasting -- Tools and technologies - Quality Control Enhancement with AI -- Automated inspection systems -- Machine vision applications - Workforce Management Optimization -- AI in scheduling and resource allocation -- Enhancing productivity with AI tools - Strategic Decision-Making and AI -- AI in business strategy formulation -- Decision-making tools and frameworks - AI Tools for Dynamic Pricing Strategies -- Algorithms for pricing optimization -- Case examples of dynamic pricing - Transformative AI Technologies in Operations -- Overview of AI innovations -- Industry-specific applications - Real-World Applications and Case Studies -- In-depth case studies -- Practical examples and outcomes - Capstone Projects and Practical Implementations -- Project design and development -- Portfolio building with AI projects - Collaborative Workshops and Presentations -- Team-based learning sessions -- Presentation of findings and solutions - Conclusion and Future Directions in AI and Operations -- Trends and future opportunities -- Career pathways and development in AI-driven operations - Course Recap and Final Assessment -- Review of key concepts -- Final project presentation and assessment

Taught by

Peter Alkema and Irlon Terblanche


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