AI Fundamentals

Powering Industry 4.0

Duration: 4 Days | Time: 9:00 AM – 5:00 PM

Venue: MTA Training Center, Prai

Certification: Professional Certificate Included

---

About the Course

The global manufacturing and engineering landscape is rapidly transforming towards Industry 4.0. This 4-day intensive program equips participants with essential Artificial Intelligence (AI) and Machine Learning (ML) knowledge to design intelligent, data-driven industrial systems. Participants will gain both theoretical understanding and hands-on experience tailored for real-world manufacturing environments.

---

Learning Outcomes

• Explain foundations of Machine Learning: supervised, unsupervised & reinforcement learning.
• Apply ML techniques to optimize production efficiency using IoT data.
• Understand Artificial Neural Networks (ANN) and Convolutional Neural Networks (CNN).
• Apply Computer Vision concepts for object classification, detection & segmentation.
• Run experiments using pre-trained models and interpret evaluation metrics.
• Implement AI solutions for safety monitoring, quality inspection & predictive maintenance.
• Differentiate traditional AI and modern Generative AI & LLM systems.
• Use Generative AI tools for prompt engineering, code generation & automation.
• Identify AI ethics concerns including bias and hallucination detection.
• Propose practical AI implementation strategies for workplace applications.

---

Learning Modules

• Module 1: Fundamentals of AI & Machine Learning
• Module 2: Deep Neural Networks
• Module 3: Computer Vision & Machine Vision with Deep Learning
• Module 4: AI-Based Machine Vision for Manufacturing
• Module 5: Fundamentals of Generative AI
• Module 6: Application of LLMs for Code Generation
• Module 7: Ethics in AI
• Module 8: Wrap-up & Assessment

---

Who Should Join

Manufacturing Engineers, Automation Engineers, R&D Specialists, Quality Assurance Professionals, Technical & IT Staff.

Focus Areas

Fundamental & practical hands-on applications tailored for industrial environments.

AI Domains Covered

Machine Learning, Deep Learning, Computer Vision, Machine Vision, Generative AI, Large Language Models (LLMs), Code Generation & AI-Driven Data Analytics.

📄 View Course Flyer