"This course gave me a deep understanding of AI safety and ethics. The practical exercises on bias detection, adversarial attacks, and secure deployment were invaluable. I now feel confident designing AI systems that are responsible and reliable."
This course equips learners with the knowledge and practical skills to design AI systems that are safe, secure, and ethically responsible. Participants explore issues such as algorithmic bias, fairness, robustness, adversarial attacks, and regulatory compliance. The course combines theory and hands-on projects, enabling learners to implement security measures, evaluate system risks, and ensure their AI models are reliable and trustworthy. By the end, participants will understand best practices for building AI systems that are safe, ethical, and aligned with industry standards.
Module 1: Foundations of AI Safety & Ethics
Learners begin by exploring key concepts in AI safety and ethics, including bias, fairness, transparency, and accountability. The module covers regulatory frameworks, ethical AI guidelines, and real-world case studies, helping participants understand how to design AI systems responsibly and avoid common pitfalls.
Module 2: Secure & Robust AI Systems
This module focuses on building AI models that are resilient to attacks and failures. Learners explore adversarial examples, model robustness, secure data handling, and threat mitigation strategies. Hands-on exercises involve testing and strengthening models to ensure reliability and security in critical applications.
Module 3: Practical Implementation & Compliance
Learners apply ethical and security principles to real-world AI projects. The module covers model auditing, fairness evaluation, secure deployment, and compliance with industry standards and regulations. Participants gain the skills to design AI systems that are not only effective but also trustworthy, safe, and ethically aligned.
This course is ideal for AI developers, data scientists, software engineers, and technical professionals responsible for designing or deploying AI systems. It is also suitable for managers, project leads, and regulators who want to understand ethical and secure AI practices.
We guide organisations in adopting AI to automate tasks, streamline processes, and free up valuable time so your team can focus on what really matters.
Our hands-on training helps staff build confidence in using AI tools, from automation to data analysis, improving both efficiency and decision-making.
We design and support AI systems tailored to your organisation, ensuring smooth integration with existing workflows and long-term efficiency gains.
Attending this course ensures learners can create AI systems that are safe, reliable, and ethically responsible. Participants gain practical experience in risk mitigation, bias reduction, and compliance, preparing them to lead the development of trustworthy AI solutions in critical industries.
Our inhouse programmes are easy to arrange and can be tailored to meet more specific learning needs. Training can be run from your own premises, or we will help you select a suitable venue offsite. Our existing IT courses can be customised to meet your organisation requirements. With all our courses there are no hidden cost, the price you see is the price you pay.
With Infinity AI's inhouse training, your team can gain the essential IT skills they need without the inconvenience of off-site sessions. Our expert-led courses are designed to fit your business, maximising participation and providing customised solutions that boost productivity and performance. Let us bring the training to you, ensuring your entire team is equipped for success.
Inhouse Training
Infinity AI Learning provides expert-led, hands-on training that blends theory with practical application. Our courses emphasise real-world security, ethical practices, and mentorship, preparing learners to build AI systems that are robust, compliant, and aligned with the highest industry standards.
