Xiamen International Plaza

8/F, 8/F, International Bank Tower Centre, 8 Lujiang Road, Siming District, Xiamen, china, 361001

This premium business centre is located on the 8th floor of International Plaza, a 37th storey landmark on Lujiang Road in Xiamen's CBD. Situated next to the water and opposite of Gulangyu, the famous scenic island of Xiamen, Lujiang Road has become the Bund in Xiamen and a popular place for relaxation. Major clients in the building include companies in financial investmen, professional services, logistics, import and export, electronics and IT. Nearby amenities include Bank of China, Industrial and Commercial Bank of China, Xiamen Millennium Harbourview Hotel and Xiamen Wyndham Hotel. The centre is conveniently located with easy access to sea, land and air transportation. Ferry terminals are just minutes away from the building. The BRT (Bus Rapid Transit) station is nearby and it is only 15 minutes away by BRT to Xiamen Railway Station. Direct passenger trains are available from Xiamen to Shanghai, Nanjing, Hefei, Fuzhou, Nanchang and Yingtan. There are over 60 domestic and international destinations to and from Xiamen Gaoqi International Airport.

Explore Our Courses

AI Governance, Compliance, and Security for Enterprise Leaders

 14 Hours
This instructor-led, live training in Xiamen (online or onsite) is aimed at intermediate-level enterprise leaders who wish to understand how to govern and secure AI systems responsibly and in compliance with emerging global frameworks such as the EU AI Act, GDPR, ISO/IEC 42001, and the U.S. Executive Order on AI.By the end of this training, participants will be able to:
  • Understand the legal, ethical, and regulatory risks of using AI across departments.
  • Interpret and apply major AI governance frameworks (EU AI Act, NIST AI RMF, ISO/IEC 42001).
  • Establish security, auditing, and oversight policies for AI deployment in the enterprise.
  • Develop procurement and usage guidelines for third-party and in-house AI systems.
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Building Secure and Responsible LLM Applications

 14 Hours
This instructor-led, live training in Xiamen (online or onsite) is aimed at intermediate-level to advanced-level AI developers, architects, and product managers who wish to identify and mitigate risks associated with LLM-powered applications, including prompt injection, data leakage, and unfiltered output, while incorporating security controls like input validation, human-in-the-loop oversight, and output guardrails.By the end of this training, participants will be able to:
  • Understand the core vulnerabilities of LLM-based systems.
  • Apply secure design principles to LLM app architecture.
  • Use tools such as Guardrails AI and LangChain for validation, filtering, and safety.
  • Integrate techniques like sandboxing, red teaming, and human-in-the-loop review into production-grade pipelines.
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Securing AI Models: Threats, Attacks, and Defenses

 14 Hours
This instructor-led, live training in Xiamen (online or onsite) is aimed at intermediate-level machine learning and cybersecurity professionals who wish to understand and mitigate emerging threats against AI models, using both conceptual frameworks and hands-on defenses like robust training and differential privacy.By the end of this training, participants will be able to:
  • Identify and classify AI-specific threats such as adversarial attacks, inversion, and poisoning.
  • Use tools like the Adversarial Robustness Toolbox (ART) to simulate attacks and test models.
  • Apply practical defenses including adversarial training, noise injection, and privacy-preserving techniques.
  • Design threat-aware model evaluation strategies in production environments.
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Introduction to AI Security and Risk Management

 14 Hours
This instructor-led, live training in Xiamen (online or onsite) is aimed at beginner-level IT security, risk, and compliance professionals who wish to understand foundational AI security concepts, threat vectors, and global frameworks such as NIST AI RMF and ISO/IEC 42001.By the end of this training, participants will be able to:
  • Understand the unique security risks introduced by AI systems.
  • Identify threat vectors such as adversarial attacks, data poisoning, and model inversion.
  • Apply foundational governance models like the NIST AI Risk Management Framework.
  • Align AI use with emerging standards, compliance guidelines, and ethical principles.
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Upcoming Courses

Securing AI Models: Threats, Attacks, and Defenses

2025-06-30 09:30
14 hours
Xiamen International Plaza

Building Secure and Responsible LLM Applications

2025-07-14 09:30
14 hours
Xiamen International Plaza

AI Governance, Compliance, and Security for Enterprise Leaders

2025-07-28 09:30
14 hours
Xiamen International Plaza

AI Governance, Compliance, and Security for Enterprise Leaders

2025-08-11 09:30
14 hours
Xiamen International Plaza

Introduction to AI Security and Risk Management

2025-08-25 09:30
14 hours
Xiamen International Plaza

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