As a prospective student, I want to understand the 'Practical Deep Learning for Coders' course better. Please provide a summary of what the course teaches, the estimated duration of each lesson, whether special hardware/software or university-level math is required, and where I can find testimonials from alumni.
Navigate to 'https://course.fast.ai/Lessons/lesson1.html'. Identify and list the key topics covered in the course. Find the estimated duration of each lesson. Determine if special hardware, software, or university-level math is required. Locate and click on the 'Testimonials' link. Confirm that testimonials from alumni are available on the linked page.
The agent successfully navigates to 'https://course.fast.ai/Lessons/lesson1.html'. The agent states that the course teaches how to build and train deep learning models for computer vision, natural language processing, tabular analysis, and collaborative filtering problems, create random forests and regression models, deploy models, and use PyTorch, fastai, and Hugging Face. The agent states that each lesson is around 90 minutes long. The agent confirms that no special hardware or software is needed (as free resources are shown), and no university math is required. The agent successfully navigates to the testimonials page. The agent confirms the presence of testimonials from alumni, academics, and industry experts.