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Unclaimed ProfileIn today's fast-paced corporate landscape, traditional operational frameworks are being fundamentally reshaped by artificial intelligence. This comprehensive course, AI in Operations Management Transforming Business Operations, created by industry expert Mana Dowlatshahi Yeganeh, serves as an essential roadmap for professionals looking to leverage AI to drive organizational efficiency. Students will explore how machine learning models, predictive analytics, and automated decision systems are deployed to revolutionize classic operational pillars. The curriculum dives deep into practical modern applications, including inventory level optimization, predictive maintenance scheduling to eliminate costly machinery downtime, demand forecasting models that drastically reduce waste, and advanced algorithms for strategic workforce planning. Whether you are an operations manager, supply chain specialist, business analyst, or aspiring leader, this program provides you with the frameworks to successfully integrate intelligent technologies into your day-to-day business processes. By examining real-world case studies and operational pipelines, learners gain the actionable insights required to transition from manual legacy tracking to automated, data-driven workflow architectures, ensuring their organizations remain highly competitive and agile in a volatile market.
About the creator
Mana Dowlatshahi Yeganeh
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Mana Dowlatshahi Yeganeh is a multidisciplinary educator and strategic advisor specializing at the intersection of emerging technologies, organizational leadership, and professional communication. With a diverse portfolio of expertise ranging from Generative AI strategy and Security Operations (SOC) to corporate sales enablement and Business English, Mana equips modern professionals and executives with the tools required to thrive in a rapidly changing corporate landscape. Her educational philosophy focuses on bridging technical complexity with actionable business applications. Whether guiding a CEO through the strategic integration of AI tools, instructing operational leaders on supply chain optimization, or coaching individuals on building a powerful personal…Show more
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Program Overview
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Learning format
Subcategory
Price
Price may change · updated within 1–2 weeks
Course language
What You'll Learn
- Identify and implement key artificial intelligence methodologies, including machine learning and deep learning, to resolve bottleneck issues in daily business operations.
- Formulate data-driven demand forecasting models to optimize inventory control, reduce holding costs, and streamline global supply chain logistics.
- Deploy predictive maintenance schedules using sensor data and machine learning algorithms to minimize equipment downtime and extend physical asset lifecycles.
- Optimize workforce management and staff scheduling through algorithmic planning tools that align staffing levels with fluctuating business demands.
- Design and evaluate automation pipelines that integrate robotic process automation (RPA) and AI decision-making systems into legacy operational structures.
- Analyze operational performance metrics and establish key performance indicators (KPIs) to measure the financial and efficiency impact of AI deployments.
Best For
- Operations managers aiming to modernize legacy workflows with intelligent automation.
- Supply chain specialists looking to leverage predictive analytics for inventory and demand forecasting.
- Business analysts tasked with identifying operational bottlenecks and implementing machine learning solutions.
- Organizational leaders seeking a strategic roadmap for integrating AI into core business processes.
Not For
- Software developers or data scientists looking for a technical deep-dive into coding AI models from scratch.
- Absolute beginners with no interest in organizational management, business strategy, or supply chain logistics.
- Professionals seeking a quick, non-comprehensive overview without the heavy focus on operational implementation.
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