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Artificial Intelligence (AI) in Supply Chain Management Course
Artificial Intelligence (AI) in Supply Chain Management Course
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Live Online Classes starting on 8th Jun 2024
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Instructor-led AI in Supply Chain Management live online Training Schedule
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Why enroll for AI in Supply Chain Management?
Artificial Intelligence (AI) in Supply Chain Management Course Benefits
The market for generative AI is projected to grow to $1.3 trillion by 2032, and AI is expected to displace 85 million jobs globally by 2025. AI is increasingly crucial in supply chain management to stay competitive and tackle industry challenges, and certification in AI-driven supply chain management enhances career prospects.
Annual Salary
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Want to become a Supply Chain Manager?
Annual Salary
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Annual Salary
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Why AI in Supply Chain Management from edureka
Live Interactive Learning
- World-Class Instructors
- Expert-Led Mentoring Sessions
- Instant doubt clearing
Lifetime Access
- Course Access Never Expires
- Free Access to Future Updates
- Unlimited Access to Course Content
24x7 Support
- One-On-One Learning Assistance
- Help Desk Support
- Resolve Doubts in Real-time
Hands-On Project Based Learning
- Industry-Relevant Projects
- Course Demo Dataset & Files
- Quizzes & Assignments
Industry Recognised Certification
- Edureka Training Certificate
- Graded Performance Certificate
- Certificate of Completion
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About your AI in Supply Chain Management
Artificial Intelligence (AI) in Supply Chain Management Course Skills Covered
Tools Covered in Artificial Intelligence (AI) in Supply Chain Management Course
Artificial Intelligence (AI) in Supply Chain Management Course Curriculum
Curriculum Designed by Experts
Introduction to AI for Supply Chain Management
14 Topics
Topics
- Introduction to AI and Generative AI
- Introduction to ChatGPT and OpenAI
- Introduction to Prompt Engineering
- Prompt Engineering for SCM
- Prompt Design Strategies
- Types of Prompting
- How to Get Better Responses from ChatGPT
- Introduction to Supply Chain Management
- Challenges in Traditional Supply Chains
- Applications of AI in Supply Chain Management
- Benefits of AI Adoption
- Case Studies
- Ethical Considerations and Sustainability in AI-Driven Supply Chains
- Future Trends: AI, 5G, and the Smart Supply Chain
![skill]( "Hands On Experience")
- Implementing Prompt Engineering for Different Scenarios
- Case Study Analysis
- Ethical Decision-Making
![skill]( "skill you will learn")
- Generative AI Understanding
- Explore the power of ChatGPT
- Crafting Effective Prompts
- Supply Chain Analysis
Foundations and Principles of Supply Chain Management
12 Topics
Topics
- Evolution of Operations: Craftsmanship to Industry 4.0
- Quality Management: Cost, Reporting, Six Sigma, Control Charts
- Product Design Strategies
- Service Design: Queuing System Analysis
- Process Selection Strategies: Break-even Analysis, Annualization
- Facility Location Selection
- Capacity Planning and Facility Design: Production Flow Analysis
- Technology Learning and Bullwhip Effect
- Lean Manufacturing Principles
- Global Supply Chain Management
- Legal and Regulatory Issues in SCM
- Emerging Trends and Technologies in SCM
![skill]( "Hands On Experience")
- Data Analysis
- Simulations
![skill]( "skill you will learn")
- Data Analysis
- Simulation Modeling
- Critical Thinking
- Problem Solving
- Legal and Regulatory Knowledge
Advanced Supply Chain Planning and Management
16 Topics
Topics
- Understanding Data Management and Analysis in SCM
- AI-based Applications in Supply Chain Management
- Generative Models: GANs, VAEs, and Beyond
- Anomaly Detection and Predictive Maintenance using Generative Models
- Simulation Modeling for Supply Chain Design with Generative AI
- Production Planning with Generative AI Techniques
- Leveraging Unsupervised Learning for Supply Chain Optimization
- Procurement Optimization
- Risk Management and Resilience in Supply Chains with Generative AI
- AI for Route Optimization and Transportation Management
- Autonomous Vehicles and Drones in Logistics
- Intelligent Load Balancing and Resource Allocation in Logistics
- Last-Mile Delivery Optimization with AI
- Multi-Modal Transportation Optimization with AI
- Aggregate planning & scheduling
- Best Practices in Applying Generative AI to SCM
![skill]( "Hands On Experience")
- Data Analysis
- AI Implementation
- Simulation Modeling
- Unsupervised Learning Application
- Risk Management Analysis
- Collaborative Logistics Implementation
![skill]( "skill you will learn")
- Data Analysis
- AI Implementation
- Simulation Modeling
- Risk Management Analysis
- Environmental Sustainability
Implementing AI in Supply Chain Management
9 Topics
Topics
- Strategy Development for AI Adoption
- Reinforcement Learning Applications in Supply Chain Planning
- Hybrid Layout Optimization through Clustering Techniques
- Dynamic Pricing and Online Advertisement Strategies using Bandit Algorithms
- Automated Warehouse Management Systems
- Demand Forecasting and Regression Analysis in Supply Chain Optimization
- Multi-Agent Systems for Collaborative Supply Chain Decision Making
- Predictive Maintenance and Asset Management using Machine Learning
- Real-Time Supply Chain Visibility and Predictive Analytics
![skill]( "Hands On Experience")
- Implementing and fine-tuning reinforcement learning algorithms for supply chain planning
- Applying clustering techniques to optimize warehouse layout design
- Designing and testing dynamic pricing strategies
- Conducting demand forecasting using regression analysis
- Implementing predictive maintenance and asset management systems
![skill]( "skill you will learn")
- Data Analysis and Interpretation
- Machine Learning and Optimization
- Decision-Making and Strategic Thinking
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About the Artificial Intelligence (AI) in Supply Chain Management Course
About Artificial Intelligence (AI) in Supply Chain Management Course
The Artificial Intelligence (AI) in Supply Chain Management Course is designed to provide learners with a comprehensive understanding of how AI technologies can revolutionize and optimize supply chain operations. This course covers a wide range of topics, including demand forecasting, inventory management, logistics optimization, and predictive analytics, all within the context of supply chain management. Learners will learn about the latest AI techniques and tools used in the industry, such as machine learning algorithms and Generative AI models. Through hands-on projects and case studies learners will gain practical experience in applying AI solutions to real-world supply chain challenges.
Why take up this Artificial Intelligence (AI) in Supply Chain Management Course?
Enrolling in the Artificial Intelligence (AI) in Supply Chain Management course offers compelling advantages , it gives learners the skills and knowledge they need to use AI technologies to optimize supply chain operations, increase efficiency, and cut costs. This certification provides a competitive edge by demonstrating proficiency in high-demand areas such as data analysis, machine learning, and logistics optimization. Furthermore, supply chain management is becoming more and more dependent on AI, which helps people stay ahead of the curve, prepared to take on new opportunities and overcome industry challenges. Additionally, obtaining a certification in AI-driven supply chain management improves one's chances for career advancement and opens doors to a variety of job roles.
Who should take up this Artificial Intelligence (AI) in Supply Chain Management Course?
The Artificial Intelligence (AI) in Supply Chain Management course is suitable for:
- Supply Chain Professionals
- Procurement Specialists
- Logistics Managers
- Business Strategists
- Entrepreneurs
- Anyone interested in Supply Chain Management
What are the prerequisites for this Artificial Intelligence (AI) in Supply Chain Management Course?
There are no prerequisites required for this Artificial Intelligence (AI) in Supply Chain Management course. However, it is beneficial to have:
- Basic Python Programming Knowledge
- Problem Solving Skills
What are the system requirements for this Artificial Intelligence (AI) in Supply Chain Management course?
The system requirements for a Artificial Intelligence (AI) in Supply Chain Management Course include:
- A laptop or desktop computer with a minimum of 8 GB RAM with Intel Core-i3 and above processor to run machine learning models is required.
- A stable and high-speed internet connection is necessary for accessing online course materials, videos, and software.
You will never miss a lecture at Edureka! You can choose either of the two options: View the recorded session of the class available in your LMS. You can attend the missed session, in any other live batch.
Practicals for this course will be implemented using Python, VS Code and Jupyter Notebook. Detailed step-by-step installation guides are available on the LMS. In case you come across any doubt, the 24*7 support team will promptly assist you.
Artificial Intelligence (AI) in Supply Chain Management Course Projects
Forecasting demand for a product
The company faces challenges in accurately forecasting the demand for its product, leading to inventory shortages or excesses, inefficient production planning, and suboptimal sup....AI-driven Supplier Performance Analysis and Optimization
The company faces challenges in effectively managing supplier relationships and ensuring consistent performance across its supply chain network. Variability in delivery times, pr....Artificial Intelligence (AI) in Supply Chain Management Certification
To unlock the Edureka’s Artificial Intelligence (AI) in Supply Chain Management course completion certificate, you must ensure the following:
- Completely participate in this Artificial Intelligence (AI) in Supply Chain Management Course.
- Evaluation and completion of the quizzes and projects listed.
The certification in Artificial Intelligence (AI) in Supply Chain Management provides a significant advantage in the job market by equipping individuals with crucial skills and credentials necessary for success in supply chain management. It boosts career prospects, enhances employability, and serves as a recognized validation of proficiency in utilizing AI technologies to streamline supply chain operations. Certified professionals showcase expertise in data analysis, machine learning, and logistics optimization, distinguishing themselves to employers across various industries. This contributes to improved efficiency, innovation, and cost-effectiveness in supply chain processes.
After completing an Artificial Intelligence (AI) in Supply Chain Management course certification, individuals can pursue various job roles, including:
- Supply Chain Analyst
- Logistics Engineer
- Demand Planner
- Operations Manager
- AI Solution Architect
- Supply Chain Consultant
- Inventory Manager
- Procurement Analyst
- Transportation Planner
- Sustainability Analyst
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Artificial Intelligence (AI) in Supply Chain Management Course FAQs
What is the significance of AI in Supply Chain Management?
AI enhances supply chain efficiency by enabling predictive analytics, demand forecasting, optimization, and automation, leading to cost savings and improved decision-making.
How does AI improve demand forecasting in supply chains?
AI algorithms analyze historical data, market trends, and external factors to generate accurate demand forecasts, reducing inventory costs and stockouts while improving customer satisfaction.
Will I get placement assistance after completing this Artificial Intelligence (AI) in Supply Chain Management Course?
To help you in this endeavor, we have added a resume builder tool in your LMS. Now, you will be able to create a winning resume in just 3 easy steps. You will have unlimited access to use these templates across different roles and designations. All you need to do is, log in to your LMS and click on the "create your resume" option.
Who are the instructors for Artificial Intelligence (AI) in Supply Chain Management Course?
All the instructors at edureka are practitioners from the Industry with minimum 10-12 yrs of relevant experience. They are subject matter experts and are trained by edureka for providing an awesome learning experience to the participants.
What if I have more queries after completion of Artificial Intelligence (AI) in Supply Chain Management Course?
Just give us a CALL at +91 98702 76459/1844 230 6365 (US Tollfree Number) OR email at sales@edureka.co.
What if I miss a class of Artificial Intelligence (AI) in Supply Chain Management Course?
You will never miss a lecture at Edureka! You can choose either of the two options:
- View the recorded session of the class available in your LMS.
- You can attend the missed session, in any other live batch.
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