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
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Lesson 1.1: What Is Automation?
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Lesson 1.2: What Is AI?
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Lesson 1.3: Why AI Matters in Industry
Module 2: Industrial Systems & Data
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Lesson 2.1: Sensors & IoT
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Lesson 2.2: Data Acquisition
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Lesson 2.3: Preparing Industry Data
Module 3: Machine Learning for Industry
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Lesson 3.1: ML Models Used in Industry
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Lesson 3.2: Predictive Modeling
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Lesson 3.3: Hands-on Practice
Module 4: Computer Vision for Industrial Automation
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Lesson 4.1: What Is Computer Vision?
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Lesson 4.2: CV Applications
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Lesson 4.3: Practical Projects
Module 5: Robotics & AI
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Lesson 5.1: Introduction to Industrial Robotics
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Lesson 5.3: Practical Mini-Projects
Module 6: IoT + AI (AIoT)
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Lesson 6.1: Merging AI With IoT
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Lesson 6.2: Real-World Use Cases
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Lesson 6.3: Projects
Module 7: Predictive Maintenance
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Lesson 7.1: CMMS & Machine Health
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Lesson 7.2: AI Models for Maintenance
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Lesson 7.3: Project
Module 8: Industrial Workflow Automation
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Lesson 8.1: RPA (Robotic Process Automation)
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Lesson 8.2: Process Optimization Using AI
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Lesson 8.3: Project
Module 9: AI Safety, Ethics & Risk Management
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Industrial AI ethics
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Safety in robotics & automation
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Data privacy
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Legal frameworks
Module 10: Capstone Projects (Choose One)
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Option A: Smart Factory AI System
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Option B: Computer Vision Quality Inspection
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Option C: Smart Agriculture Automation System
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Option D: Intelligent Robotics Simulation
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$200.00
$500.00
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LevelBeginner
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Duration50 hours 56 minutes
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Last UpdatedJanuary 11, 2026
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CertificateCertificate of completion
Hi, Welcome back!
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
