My lessons are carefully crafted to be both informative and engaging, creating a learning experience that is both enriching and enjoyable. We strike a balance between theoretical understanding and practical application, ensuring you grasp the core principles while gaining hands-on experience.

Each session begins with a review of previous material, addressing any questions or concerns you may have. This approach reinforces your understanding and creates a solid foundation for introducing new concepts. We then delve into the day's topic, exploring core principles, relevant algorithms, and real-world applications. I'll guide you through interactive coding exercises, encouraging you to experiment, problem-solve, and develop your coding skills independently.

To broaden your perspective, we'll also discuss current trends and ethical considerations in AI. This fosters a well-rounded understanding of this rapidly evolving field, preparing you to navigate the complexities and opportunities it presents.

To maintain your engagement and cater to different learning styles, we incorporate a variety of teaching methods, including discussions, demonstrations, and hands-on projects. These approaches encourage active participation and make learning more interactive and enjoyable. Additionally, I'll provide you with relevant resources like articles, tutorials, and online tools to supplement our sessions and support your independent learning journey.

Throughout our lessons, I prioritise creating a supportive and collaborative environment where you feel comfortable asking questions, sharing ideas, and exploring the fascinating world of AI together.
With my background in AI research and a PhD on the horizon, you can trust that I'm well-versed in the latest advancements and best practices in the field. I'm excited to share my knowledge and passion with you.