Many AI courses focus heavily on content delivery rather than fostering critical thinking, leading to a lack of clarity among learners. Observations reveal that people often engage in numerous activities, such as experimenting with multiple tools and models, without developing a cohesive understanding of how these elements interconnect. This results in fragmented projects and passive learning, where individuals merely replicate tutorials without meaningful progress. The key to effective learning and innovation in AI lies in developing mental models, systems thinking, and sharing experiences to refine approaches and expectations. Encouraging learners to prioritize clarity and reflection can significantly enhance their ability to tackle AI problems effectively.
