(SCTP) AI Governance and Cyber Analyst: Capstone Project

Training Provider: NTUC LEARNINGHUB PTE. LTD.
Course Reference: TGS-2026061505
S$750
Original: S$2,500
Save S$1,750

About This Course

This 5-day capstone project offers a hands-on, immersive experience focused on applying governance principles and responsible AI practices in real-world scenarios. Through guided case studies, peer collaboration, and mentorship, learners will conduct risk assessments, develop governance frameworks, and propose actionable strategies for responsible AI deployment. By the end of the project, participants will present their solutions to the assessor for feedback, demonstrating their ability to integrate legal, ethical, technical, and business considerations into the practical governance of AI systems.

By the end of this capstone project, participants will be prepared to:
• Proactively identify and assess AI-specific ethical, legal and reputational risks.
• Develop and justify risk treatment plans aligned with both business objectives and regulatory requirements
• Apply data privacy, ethical, and compliance standards in practical scenarios.
• Translate governance principles into actionable strategies for responsible AI deployment.

What You'll Learn

Throughout the program, participants will:

Engage in Real-World Simulations: The course utilizes a comprehensive case study of a fictional organization facing multiple AI governance challenges, providing a realistic context for learning.

Apply and Develop Practical Skills: Through workshops and hands-on activities, learners will apply theoretical knowledge to practical scenarios, enhancing their ability to assess and manage AI governance challenges.

Collaborate and Communicate: Participants will work individually and in groups to develop and present their findings, fostering collaboration and enhancing communication skills.

Receive Expert Guidance: Experienced instructors will provide insights, feedback, and support, ensuring that learners can apply best practices in AI governance and risk management.

Entry Requirements

Basic knowledge of IT and AI technologies will be helpful

Course Details

Duration 40 hours
Language English
Training Commitment Full Time and Part Time
Total Enrolled 17 students
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