AI for Predictive Maintenance & Smart Manufacturing

A specialized training program designed for engineers, technicians, and industrial professionals to master AI applications in predictive maintenance and smart manufacturing. Participants will learn how to use Artificial Intelligence and Machine Learning tools to monitor equipment performance, analyze sensor data, and predict potential failures before they occur. The program covers practical use of tools such as Google Colab, Gemini, DeepSeek, Copilot and TensorFlow for building data-driven maintenance models and optimizing factory operations. By the end of the course, learners will be equipped to implement AI-powered solutions that improve efficiency, reduce downtime, and support Industry 4.0 transformation.

What You Will Learn

Predictive Analytics & Machine Learning

Understand how AI models analyze sensor data to predict equipment failures, improve maintenance schedules, and enhance factory performance.

This program enables engineers, technicians, and industry professionals to harness the power of Artificial Intelligence for predictive maintenance, smart automation, and data-driven manufacturing. Participants will learn how to integrate AI and IoT systems to monitor equipment health, forecast failures, and optimize operational efficiency. Through hands-on sessions, you’ll explore how machine learning and intelligent automation can revolutionize production reliability and reduce downtime across industrial environments.

Real-Time Monitoring & Data Visualization

Build AI-powered dashboards using platforms like Gemini, ChatGPT, and Google Colab to visualize performance metrics and detect anomalies instantly.

Smart Industrial Automation

Learn to integrate AI with robotics and control systems to automate repetitive processes, boost precision, and ensure consistent production quality.

Workflow Optimization with Agentic Tools

Design connected maintenance ecosystems using Agentic AI, DeepSeek, and Copilot to coordinate diagnostics, automate reporting, and streamline maintenance actions.

5 Reasons To Join This Training

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Industry 4.0 Skills Development

Gain hands-on expertise in AI-powered maintenance and automation, essential capabilities for the modern industrial workforce.

Practical, Data-Driven Learning

Apply real sensor data, case studies, and AI tools like Gemini, DeepSeek, and RunwayML to simulate smart factory operations.

Career & Productivity Boost

Master predictive maintenance strategies that minimize downtime, extend asset life, and increase organizational profitability.

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Financing Scheme

Funded by Yayasan Peneraju and conducted with Vision University College, ensuring quality learning.

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Mentoring

Benefit from the continuous mentoring and exclusive access to the Artificial Intelligence Content Creators Community.

Requirements

  • Malaysian Bumiputera

  • Age 16 years old and above

  • Open to students, graduates, and working professionals who wish to enhance their skills in Artificial Intelligence (AI) and related technologies

  • Recommended background in IT, Computer Science, Engineering, Data, or related technical/creative fields

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