AI Basics for Manufacturing is a beginner-friendly two-day program designed to help manufacturing professionals understand artificial intelligence in simple, non-technical terms. This course focuses on AI awareness, core concepts, real-world manufacturing examples, and practical understanding of where AI fits within modern manufacturing operations, without requiring any technical or coding knowledge.

• Understand AI fundamentals in manufacturing
• Learn smart manufacturing concepts
• Understand AI-driven automation basics
• Gain knowledge of predictive maintenance concepts
• Learn industrial data analytics basics
• Understand quality control automation
• Explore AI-powered production workflows
• Identify AI use cases in manufacturing

• Manufacturing supervisors and team leads
• Operations and production managers
• Quality, maintenance, and safety teams
• Non-technical manufacturing professionals
• Business stakeholders in manufacturing organizations

• Basic understanding of manufacturing processes
• Familiarity with shop-floor or production environments
• No technical, programming, or AI background required
• Interest in digital transformation in manufacturing

• Understanding basic AI concepts in manufacturing
• Differentiating AI from automation and robotics
• Identifying common AI use cases in factories
• Interpreting AI benefits and limitations
• Participating confidently in AI-related discussions

By the end of this training, participants will understand AI fundamentals in manufacturing, recognize common AI applications, appreciate benefits and limitations, and be prepared to engage meaningfully in AI-driven manufacturing initiatives.

Introduction to Artificial Intelligence
• What AI is and what it is not
• AI vs automation vs robotics
• How AI learns from data
• Common myths about AI

AI in Manufacturing – Big Picture
• Why AI is important for manufacturing
• AI across production, quality, and maintenance
• Examples of AI already used in factories
• Benefits of AI adoption

Understanding Data in Manufacturing
• What manufacturing data looks like
• Sensors, machines, and production data
• Why data quality matters
• Simple examples of data-driven decisions

Common AI Use Cases in Manufacturing
• Predictive maintenance basics
• Quality inspection and defect detection
• Production planning and forecasting
• Safety monitoring and compliance

Limitations, Risks, and Human Role
• What AI cannot do
• Over-reliance on AI risks
• Importance of human judgment
• Ethical and workforce considerations

Preparing for an AI-Enabled Factory
• AI awareness for manufacturing teams
• How organizations start with AI
• Skills needed for the future workforce
• Next steps toward Industry 4.0

• AI fundamentals for manufacturing
• Smart factory concepts
• Industrial automation basics
• Predictive maintenance techniques
• Industrial data analytics
• Quality control automation
• AI-driven production workflows
• Industrial IoT concepts
• Safety and operational considerations
• Practical manufacturing AI scenarios

• AI fundamentals for manufacturing
• Smart factory concepts
• Industrial automation basics
• Predictive maintenance techniques
• Industrial data analytics
• Quality control automation
• AI-driven production workflows
• Industrial IoT concepts
• Safety and operational considerations
• Practical manufacturing AI scenarios

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Participants who successfully complete the training will receive an AcadNXT Certification in AI Basics for Manufacturing Training, validating their foundational understanding of AI concepts and applications in manufacturing environments.