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Snowflake & AI Applications in Manufacturing/factory data management
- Course Name: Snowflake & AI Applications in Manufacturing
- Duration: 30 Hours || 4 days (8 hrs each day)
- Workshop Mode: Instructor-Led Training (Virtual - Online)
Key Features of the Training
• Comprehensive instructor-led Snowflake and AI training program tailored for manufacturing environments
• 70% hands-on learning through practical labs, workshops, and real-world manufacturing use cases
• Learn modern data platform design, factory data management, and AI-driven analytics on Snowflake
• Hands-on experience with Snowpark, Cortex AI, Machine Learning Functions, and real-time data pipelines
• Build predictive maintenance, quality intelligence, and supply chain analytics solutions
• Coverage of governance, security, compliance, and enterprise-scale deployment best practices
• Capstone project integrating data ingestion, predictive analytics, quality monitoring, and executive dashboards
• Training aligned with Snowflake SnowPro Core and Advanced Data Engineer certification pathways
Course Coverage
• Snowflake Fundamentals for Manufacturing
• Manufacturing Data Architecture in Snowflake
• Real-Time Factory Data Ingestion & Streaming
• Data Quality & Governance for Factory Data
• AI & ML Foundations on Snowflake
• Predictive Maintenance & Equipment Analytics
• Production Optimization & Quality Intelligence
• Supply Chain & Inventory AI
• Deployment, Security & Capstone Project
Training Outcome
Upon completion of this program, participants will be able to:
• Design and implement scalable manufacturing data platforms on Snowflake
• Build real-time factory data ingestion and analytics pipelines
• Apply AI and machine learning to predictive maintenance and quality management
• Develop secure, governed, and compliant manufacturing data environments
• Create data-driven solutions that improve operational efficiency, asset reliability, and production performance
• Deploy enterprise-ready analytics applications using Snowflake technologies