Description
This course equips professionals with essential knowledge to navigate AI’s security risks
and ethical challenges. Participants will explore foundational AI concepts, risk mitigation
strategies, and governance frameworks. The programme blends technical insight with
practical tools for responsible AI deployment. Ideal for leaders seeking to drive secure and
ethical innovation in their organisations.
Course Highlights
- Develop a deep understanding of AI fundamentals, security vulnerabilities, and ethical
frameworks - Master practical strategies for identifying and mitigating risks in AI systems
- Learn to implement governance structures that ensure accountability and compliance
- Gain insights into protecting intellectual property in AI development
- Acquire the expertise to lead organizational initiatives for responsible AI
- Teacher: Moodle Admin user
Description
This on-demand course is designed to help learners understand key artificial intelligence
(AI) concepts, including popular terminologies, practical applications, and emerging trends
in AI technologies. It is ideal for individuals who have a basic understanding of AI and want
to deepen their knowledge in areas such as Generative AI, AI agents, AI models, and
quantum computing. The course includes interactive elements, video lectures, and slides
to guide you through each topic.
Course Highlights
- Foundational AI frameworks and their practical applications in modern business
environments - Deep learning architectures and how they enable complex pattern recognition capabilities
- Generative AI technologies powering content creation and conversational systems
- Retrieval-Augmented Generation (RAG) for enhancing AI knowledge and reasoning
abilities - AI agents and agentic frameworks that enable autonomous decision-making systems
- Quantum computing applications in AI for exponentially faster processing of complex
calculations - Ethical considerations and responsible AI development practices for business
implementation
- Teacher: Moodle Admin user
Description
This course is designed to help beginners kick-start their careers in Artificial Intelligence
(AI) and Machine Learning (ML). It provides a basic understanding of AI and ML concepts,
along with practical skills needed to explore entry-level roles in the field. By the end of this
course, learners will be prepared for jobs such as data entry specialist, data analyst, and
junior machine learning engineer. With hands-on exercises and real-world examples, this
course makes it easy for anyone to take their first step into the exciting world of AI and ML.
Course Highlights
- Explore data analyst roles to gain insights into data patterns and trends.
- Start with entry-level machine learning engineer positions to build practical experience.
- Consider internships or freelance projects to enhance skills and showcase work.
- Participate in online AI/ML communities and forums to stay updated and network with
professionals
- Teacher: Moodle Admin user
Description
A short course on artificial intelligence and generative AI for beginner users with basic
computer literacy. This course also discusses some of the internal working aspects of AI
such as neural networks etc.
Course Highlights
AI stands for Artificial Intelligence.
ML refers to Machine Learning.
Generative AI involves creating new content based on patterns in existing data.
These technologies have diverse applications in various fields like healthcare, finance, and
entertainment
- Teacher: Moodle Admin user