Feedback on UpGrad’s Machine Learning/Deep Learning Course

As someone currently pursuing a PG Diploma for Machine Learning and Artificial Intelligence from UpGrad, I feel it's crucial to share my experiences and insights with potential learners. This course has been an integral part of my career transition from Quality Assurance to Data Science/ML. Here's a detailed overview of the course, including its curriculum, benefits, and additional support provided by UpGrad.

Curriculum Overview

The course at UpGrad is meticulously designed to provide a comprehensive learning experience. It is divided into two main components: a preparatory course and the main content.

Preparatory Course

The preparatory course is structured to strengthen the foundational knowledge of key topics such as Python, SQL, and Mathematics. This initial segment lays a solid base, ensuring that students are well-prepared to explore the exciting aspects of data science and machine learning.

Mains

The main content of the course covers a wide range of topics, from the intuition behind machine learning to the detailed mathematics underlying each algorithm. One of the most rewarding aspects is the opportunity to build an end-to-end (E2E) machine learning project pipeline. Although my batch did not cover model deployment, this area is promised to be addressed in future iterations. Additionally, the course includes case studies that are executed in teams of two. These case studies are particularly beneficial as they provide hands-on experience with real-world problem statements, including data processing, data analysis, feature engineering, and model building.

Expert Faculties and Industry Insights

One of the highlights of the course is the caliber of the faculty. A significant portion of the modules are taught by faculties from IIIT-B, renowned for their expertise in the field. However, the course also includes sessions with practical experience from ML engineers, data scientists, and CEOs. These sessions are invaluable in understanding the 'how-tos' of machine learning and data science practices in the industry.

Additional Support and Resources

UpGrad goes above and beyond in providing career support. Apart from the robust curriculum, the course includes numerous career assistance features such as 1:1 mentorship calls with industry experts, resume building sessions, and interview preparation workshops. They also post job openings on their career portal, which is a valuable resource for students looking to enter the field. UpGrad also organizes basic camps where batches can gather and have fun, fostering a sense of community.

Support and Responsiveness

The response from UpGrad's support team has been consistently positive. They are always keen to address any queries or concerns, ensuring that students have a smooth learning experience. This level of support is a testament to the course provider's commitment to student success.

Conclusion

Overall, this course is an excellent starting point for anyone looking to transition into a career in machine learning or data science. The comprehensive curriculum, combined with practical case studies and industry insights, makes it a robust learning experience. For those considering similar courses, UpGrad deserves serious consideration.

Key Takeaways:

The preparatory course strengthens foundational knowledge. The main content covers a comprehensive range of machine learning topics. Case studies provide hands-on experience. Industry experts and ML engineers share practical insights. Career support includes mentorship, resume building, and job postings. Responsive and considerate support is provided by UpGrad.