AI in Automation & Industry

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About Course

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What I will learn?

  • Understand industrial automation and AI fundamentals
  • – including Industry 4.0, IoT, robotics, sensors, and machine data.
  • Work with industrial data
  • – collect, clean, and prepare data for AI models.
  • Build machine learning solutions for industry
  • – predictive maintenance, fault detection, quality control, and forecasting.
  • Use computer vision for automation
  • – inspect products, detect defects, and improve safety.
  • Integrate AI with robotics and IoT
  • – create smart factory and smart agriculture systems.
  • Develop automation workflows using RPA and AI
  • – automate reports, scheduling, and repetitive industrial tasks.
  • Apply safety, ethics, and compliance in industrial AI
  • – understand risk management in automation.
  • Build real-world, industry-ready projects
  • – dashboards, predictive systems, inspection tools, and robotic simulations.

Course Curriculum

Module 1: Introduction to AI & Industrial Automation

  • Lesson 1.1: What Is Automation?
  • Lesson 1.2: What Is AI?
  • Lesson 1.3: Why AI Matters in Industry

Module 2: Industrial Systems & Data

Module 3: Machine Learning for Industry

Module 4: Computer Vision for Industrial Automation

Module 5: Robotics & AI

Module 6: IoT + AI (AIoT)

Module 7: Predictive Maintenance

Module 8: Industrial Workflow Automation

Module 9: AI Safety, Ethics & Risk Management

Module 10: Capstone Projects (Choose One)

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$200.00 $500.00

Material Includes

  • 1. Pre - Recorded Video Lessons
  • 2. Downloadable Lecture Notes
  • 3. Practical Datasets
  • 4. Hands-On Project Files
  • 5. Templates & Tools
  • 6. Capstone Project Resources
  • 7 Community & Support

Requirements

  • You only need basic computer skills, a laptop with internet, and basic math understanding. No advanced coding or engineering experience is required—just an interest in AI or industrial automation.

Tags

Target Audience

  • 1. Engineering Professionals
  • 2. Manufacturing, Mining & Industrial Workers
  • 3. IT, Data & Tech Professionals
  • 4. Agriculture & Construction Personnel
  • 5. Managers & Decision-Makers
  • 6. Students & Career Changers

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