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NTUC LEARNINGHUB PTE. LTD.

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Course Developer for Cybersecurity & AI Technologies using Python in Advanced Manufacturing

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Summary

Develops curriculum and hands-on course materials (presentations, quizzes, exercises, case studies) for a program on cybersecurity and AI with Python in advanced manufacturing, keeping content technically current. Requires engineering background, adult-training experience, and knowledge of AI/ML, Industry 4.0, and industrial cybersecurity.

Job Description

We are seeking for Course Developer to create innovative curriculum for the program: Cybersecurity & AI Technologies using Python in Advanced Manufacturing.


  • Develop comprehensive course materials including presentations, quizzes, assessments and learning activities (hands-on exercises, case studies, etc.).
  • Ensure course content aligns with learning objectives and effectively engages learners of all backgrounds.
  • Integrate real-world industry insights and practical applications into the curriculum.
  • Stay current on industry trends and best practices in Cybersecurity, AI Technologies in the field of advanced manufacturing to ensure technical accuracy and relevance.

Job Requirement

  • Diploma/Degree in Engineering, Computer Science.
  • Possess DDDLP Certificate.
  • Practitioners having relevant certification in the field of Learning & Development such as ACLP/ACTA/DACE will have an added advantage.
  • Effective communication and interpersonal skills.
  • Minimum 4 years of working experience in related engineering field.
  • Minimum 3 years of adult training experience in the below mentioned fields of expertise:

1. Cyber Security For Advanced Manufacturing

  • The risk assessment, compliance, and regulations applicable to Industrial Cyber Security.
  • The various security vulnerabilities and corresponding counter measures for advanced manufacturing.

2. AI Technologies Using Python For Advanced Manufacturing

  • The fundamentals of AI, machine learning, and deep learning using computer vision.
  • The principles of Industry 4.0, including the Internet of Things (IoT), big data, and cloud computing.
  • The application of AI in various industrial domains, such as predictive maintenance, process optimization, and autonomous systems.

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