Computer Science & AI with an engaging & empathetic approach

My teaching methodology is rooted in real-life examples, case studies, problem-solving, creativity, accountability, and motivation to ensure students excel in Artificial Intelligence. I use real-world scenarios and industry-relevant case studies to help students understand AI concepts like machine learning, neural networks, and data analysis in a practical context. Problem-solving is at the core of my approach, as I guide students through challenges that sharpen their critical thinking and technical skills. I encourage creativity by empowering students to explore innovative solutions and design projects that reflect their interests. Accountability is cultivated through structured timelines and personalized feedback, helping students stay on track with their learning goals. I also prioritize motivation, creating a positive and supportive environment where students feel encouraged to push boundaries and excel. In addition to Artificial Intelligence, I teach related subjects, ensuring a comprehensive and well-rounded learning experience.