L&T EduTech

Cognitive Manufacturing Specialization

L&T EduTech

Cognitive Manufacturing Specialization

Master Cognitive Manufacturing & Smart Automation.

Build adaptive Industry 5.0 factories using AI, computer vision, AR, and IIoT.

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Get in-depth knowledge of a subject
Intermediate level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
Intermediate level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Build industrial computer vision pipelines using OpenCV algorithms (SIFT, ORB, HOG) for automated defect detection, metrology, and quality control.

  • Develop interactive Augmented Reality (AR) applications using Unity and Vuforia to visualize live IIoT sensor telemetry for predictive maintenance.

  • Architect unified Cyber-Physical Systems (CPS) that integrate cognitive sensors and robotics for autonomous, self-optimizing factory operations.

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Taught in English
Recently updated!

September 2026

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Specialization - 5 course series

Cognitive Sensors for Adaptive Manufacturing

Cognitive Sensors for Adaptive Manufacturing

Course 1, 4 hours

What you'll learn

  • Design and deploy cognitive sensor networks with IIoT connectivity

  • Apply sensor data analytics for predictive maintenance and safety.

  • Build adaptive closed-loop control architectures for smart factories

What you'll learn

  • Master OpenCV fundamentals, image representation, and core manipulation techniques like resizing, cropping, and color space conversion

  • Implement image enhancement, thresholding, masking, and noise reduction techniques for automated industrial quality inspection.

  • Apply morphological operations, blob detection, and edge detection to segment objects and detect manufacturing defects.

What you'll learn

  • Apply template matching, corner detection, and contour analysis to locate patterns and inspect industrial parts.

  • Master feature detection algorithms (SIFT, SURF, FAST, ORB, HOG) for object recognition and tracking in dynamic scenes.

  • Build real-world vision pipelines for ANPR, safety monitoring, defect detection, and automated factory surveillance.

Augmented Reality for Smart Factories

Augmented Reality for Smart Factories

Course 4, 3 hours

What you'll learn

  • Master AR fundamentals and architecture to overlay real-time digital instructions onto factory environments.

  • Build marker-based industrial AR applications using Unity and Vuforia to augment physical factory equipment.

  • Integrate IoT data into AR interfaces for remote collaboration, guided maintenance, and quality inspection.

AI Vision and Robotics for Intelligent Manufacturing

AI Vision and Robotics for Intelligent Manufacturing

Course 5, 5 hours

What you'll learn

  • Design vision-guided robotics for pick-and-place, assembly, conveyor tracking, welding, and human-robot collaboration.

  • Deploy industrial drone systems for warehouse inventory management, remote site surveillance, and machinery inspection.

  • Apply AI and machine vision to automated optical inspection (AOI), metrology, tool wear monitoring, and NDT defect detection.

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L&T EduTech
163 Courses269,443 learners

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