Design Thinking, Blockchain Technology Management and Cybersecurity (Classroom and Asynchronous e-learning)
About This Course
Design thinking, with an emphasis on Human-centered Design, has now become a must-know tool for companies aspiring to grow and flourish through continuous innovation. This course introduces learners to the key principles of design thinking through application to relevant case studies and hands-on exercises utilizing Generative AI. It is also crucial for learners to appreciate the core technical aspects of blockchain, especially when it promises to disrupt the current business landscape through consensus-driven decentralisation of the traditional computing fabric. Concepts of blockchain will be discussed in this course, examining blockchain using cases and challenges related to its implementation. Furthermore, the course critically examines the ethical and security challenges of deploying Artificial Intelligence, equipping learners to identify and mitigate risks such as algorithmic bias and AI hallucinations. As this micro-credential course is only offered in the FlexiMasters in Business and Financial Analytics programme, learners are required to enrol into the programme and complete all required courses within this programme.
What You'll Learn
1. Describe the key innovation skills essential for leading firms.
2. Apply fundamental concepts and principles of design thinking to the analytics domain, augmented by Generative AI tools.
3. Identify business opportunities in the Artificial Intelligence (AI) and analytics domain.
4. Generate business models to commercialise business opportunities in the AI and analytics domain.
5. Explain the challenges associated with commercialising AI technologies, critically evaluating risks such as hallucinations and biases.
6. Identify the evolving blockchain ecosystem.
7. Identify the underlying technological elements and workings of blockchain, use cases of blockchain, and challenges with using blockchain.
8. Identify the possible use cases of blockchain.
9. Explain the cybersecurity risks in the business sphere in the era of AI and Quantum, including vulnerabilities associated with AI integration.
10. Describe the security and privacy mechanisms that can protect an enterprise’s AI, Cloud, OT and critical infrastructure.
Entry Requirements
While no pre-requisites are needed, learners with relevant background and/or experience may have a better understanding of the course content.