Our Labs are flexible, and you can take them in any order based on your prior knowledge and goals.

That said, we recommend starting with the Applied Data Science Lab to build a strong foundation in working with data, learning how to clean, analyze, and model it to solve real-world problems. From there, the Deep Learning Fundamentals Lab helps you move beyond traditional machine learning and understand how neural networks uncover more complex patterns automatically. The Computer Vision Lab is best approached as a final step, where you apply those deep learning techniques to image and video data in more advanced, real-world scenarios.

While each Lab can be taken on its own, following this sequence offers a clearer and more cohesive progression from core data skills to more advanced AI applications.