Pros
Exposure to basic machine learning concepts and real-world datasets
Hands-on experience with Python libraries like NumPy, Pandas, and Scikit-learn
Structured learning with assignments and guided sessions
Helpful for students starting their journey in AI/ML
Opportunity to work on mini projects and improve practical understanding
Cons
Content is more beginner-focused and not very deep for advanced learners
Some parts feel similar to online tutorials rather than industry-level work
Limited real-time project exposure or deployment experience
Mentorship quality may vary depending on the assigned trainer
Could include more practical problem-solving and real-world challenges