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Industrial AI for Manufacturing and IoT

By: GTC

Lagos State, Nigeria

11 - 15 May, 2026  5 days

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NGN 350,000

Venue: Uyo

Other Dates

Venue Date Fee  
Lagos, State, Nigeria 12 - 16 Oct, 2026 NGN350000

COURSE OVERVIEW
This course explores the integration of Artificial Intelligence (AI) with Industrial Internet of Things (IIoT) to drive
innovation, efficiency, and automation in manufacturing environments. Participants will learn how to leverage AI
techniques such as machine learning, predictive analytics, and computer vision to optimize production processes,
monitor equipment health, detect anomalies, and enhance decision-making. The course combines practical tools, case
studies, and hands-on projects to help learners build intelligent systems suited for smart factories and industrial
operations.

WHO SHOULD ATTEND?
This course is designed for manufacturing engineers, plant managers, IoT specialists, data analysts, AI engineers, and
professionals involved in industrial automation and digital transformation. It is also suitable for business leaders,
consultants, and project managers seeking to implement AI-driven strategies in industrial operations.

COURSE OUTCOMES
Delegates will gain the skills and knowledge to:
• Comprehend the role of AI in modern manufacturing and IIoT ecosystems.
• Collect, process, and analyze industrial data using AI tools.
• Apply machine learning for predictive maintenance and process optimization.
• Use computer vision for quality control and real-time monitoring.
• Integrate AI models with IoT devices and edge computing platforms.
• Design and deploy intelligent systems for industrial automation.
• Address security, scalability, and ethical considerations in industrial AI.
• Evaluate the ROI and performance of AI solutions in manufacturing.

KEY COURSE HIGHLIGHTS
At the end of the course, you will understand;
• An overview of AI applications in smart manufacturing.
• Data acquisition from sensors, machines, and IoT devices.
• Predictive analytics and anomaly detection in equipment performance.
• Computer vision for defect detection and production line monitoring.
• Edge computing and real-time decision systems.
• Building machine learning models using industrial datasets.
• Integration with cloud platforms (Azure IoT, AWS Greengrass, etc.).
• Security and privacy in connected industrial systems.

Course Booking

Please use the “book now” or “inquire” buttons on this page to either book your space or make further enquiries.

Uyo May 11 - 15 May, 2026
Lagos, State, Nigeria 12 - 16 Oct, 2026
NGN 350,000.00(3 Days (N350,000) 5 Days (1,500,000) 10 Days (3,500,000))
(Convert Currency)

Emmanuel Joseph 09056761232

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