Addressing Issues in Generative AI System Design and Deployment (Synchronous and Asynchronous E-Learning)
About This Course
This course teaches learners to implement Generative Artificial Intelligence (GAI) responsibly in organisations. It addresses key issues throughout the design, development, deployment, and post-deployment stages. Learners will explore practical considerations, from deciding to adopt a GAI solution to designing a suitable system and establishing governance. The aim is to equip Artificial Intelligence (AI) practitioners with the knowledge to avoid common pitfalls when integrating GAI in their organisations. Additionally, the course covers security and safety aspects like jailbreaking and prompt injection, highlighting unique vulnerabilities in GAI systems and offering strategies for resilient and responsible deployment.
What You'll Learn
• Apply various practical technical and operational considerations to the design and deployment of a Generative Artificial Intelligence (GAI) solution for a given use case.
• Design sound governance and risk management strategies to ensure that GAI systems are implemented responsibly and securely within the enterprise.
• Describe the different types of security and safety challenges posed by GAI systems and be able to propose appropriate mitigation strategies, techniques and processes to manage such security and safety risks, both during and post deployment.
Entry Requirements
No pre-requisites are needed to enroll in the course; however, learners without qualifications or working experience in relevant engineering or the related fields may find the course contents challenging.