This podcast series explores the potential of self-learning Agents and Teaching AI systems.

It details how AI can learn through reinforcement and self-supervised learning, utilising technologies like vector databases and knowledge graphs to store and retrieve information effectively.

It then guides listeners through designing an AI tutor, including adaptive learning systems and interactive interfaces, and finally discusses the future of AI-powered education, addressing ethical considerations and potential advancements.

The accompanyingarticle offer a comprehensive roadmap for building AI tutors and provide a detailed technical overview.