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Duration 14 hours
Course Outline
Day 1: 09:00 - 16:00 (7h)
Core Concepts of Artificial Intelligence
- Defining AI, machine learning, and deep learning.
- Learning paradigms: supervised, unsupervised, and reinforcement.
- Clarifying misconceptions versus realities of industrial AI.
AI within the Smart Manufacturing Landscape
- Defining the characteristics of a “smart” factory.
- The contribution of AI to Industry 4.0 and industrial automation.
- Surveying key enabling technologies such as IoT, edge computing, and digital twins.
Primary Applications in Manufacturing
- Predictive maintenance and enhancing equipment reliability.
- Quality assurance through anomaly detection.
- Process refinement and yield enhancement.
Navigating the Data Lifecycle
- Capturing and sensing industrial data streams.
- Data curation and quality management considerations.
- Fundamental principles of data-informed decision-making.
Day 2: 09:00 - 16:00 (7h)
Strategic Planning for AI Projects
- Identifying high-value use cases.
- Assembling effective teams and defining key performance indicators.
- Addressing common obstacles and risk mitigation tactics.
Industry Case Studies and Practical Applications
- Real-world insights from automotive, food processing, pharmaceutical, and heavy industries.
- Key takeaways from digital transformation experiences.
- Drivers of success and common pitfalls to circumvent.
Initial Steps for Implementation
- Phased approach to launching an AI initiative.
- Technical assessments and vendor evaluation criteria.
- Considerations for scalability, ethics, and workforce readiness.
Conclusion and Path Forward
Requirements
- Familiarity with fundamental industrial processes or plant operations
- Curiosity regarding digital transformation and innovation strategies
- Openness to discussions on technology integration
Target Audience
- Operations Managers
- Plant Executives
- Technical Leads
Testimonials (2)
How to use and explore AI for daily works
Giovani Natalia - PT Astra Honda Motor
Course - AI for Supply Chain and Manufacturing Logistics
All in general
