Plymouth

Regus Drake Circus, Unit MSU9A, Level 1, Plymouth, united kingdom, PL1 1EA

Business travellers now have somewhere to work and meet while on the go – walk-in workspace at Drake Circus shopping centre in Plymouth. Our business lounge features flexible workspace and desks along with meeting rooms to rent by the day, half-day or hour. Work smart and meet your clients in a professional environment. A virtual office service is also available. It’s easy to access by car and there’s plentiful parking at this site close to Plymouth University and the City Museum. The railway station is just 10 minutes away on foot. • Fully-equipped meeting rooms • Fully equipped private day offices • Free high speed WiFi and refreshments • Business class facilities – print, scan and copy documents • Plentiful parking • Walk in business lounge with flexible workspace to work productively • Virtual offices – mail handling, business address & telephone answering How to find us: We are located on Car Park Level 1/Food Court, next to The Entertainer Toy Shop.

Explore Our Courses

AI Governance, Compliance, and Security for Enterprise Leaders

 14 Hours
This instructor-led, live training in Plymouth (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 Plymouth (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 Plymouth (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 Plymouth (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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Provisional Upcoming Courses (Contact Us For More Information)

Building Secure and Responsible LLM Applications

2025-06-19 09:30
14 hours
Plymouth

Building Secure and Responsible LLM Applications

2025-07-03 09:30
14 hours
Plymouth

Building Secure and Responsible LLM Applications

2025-07-17 09:30
14 hours
Plymouth

AI Governance, Compliance, and Security for Enterprise Leaders

2025-07-31 09:30
14 hours
Plymouth

AI Governance, Compliance, and Security for Enterprise Leaders

2025-08-14 09:30
14 hours
Plymouth

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