Amazon India has introduced the third iteration of its Machine Learning (ML) Summer School, a comprehensive program designed to equip students with essential skills in ML technologies. Building on the success of last year’s second edition, Amazon continues its commitment to aiding Indian students in preparing for career opportunities in the machine learning industry.
Engineering students from recognized institutions across India who are scheduled to graduate in either 2024 or 2025 from bachelor’s, master’s, or PhD programs are encouraged to enroll in this complimentary course. As part of the application process, students need to successfully complete a two-part selection test on September 9. This test covers areas such as mathematics, programming, and fundamental ML concepts.
The program offers participating university students a unique opportunity to learn directly from leaders within the machine learning industry. By delving into the basics of ML and exploring how these concepts are applied in real-world scenarios, students not only expand their knowledge but also engage with Amazon’s expert scientists.
Every module is followed by an interactive three-hour live Q&A session, allowing students to interact with senior applied scientists and ML experts from Amazon.
This initiative serves as a launchpad for potential internships and future careers in the field of ML. Beyond gaining valuable theoretical and practical insights into key ML subjects, participants also initiate the process of building a professional network within the industry.
Rajeev Rastogi, Vice President of International Machine Learning, explains, “Amazon ML Summer School aims to provide participating students with best-in-class training on a broad range of topics which are at the core of modern machine learning, from fundamentals to state-of-the-art.” He further emphasizes the tutorial sessions’ blend of theoretical depth and practical application, delivered by Amazon’s own ML scientists who are recognized experts in their domains. Rastogi underscores that the program intends to foster excellence in ML and cultivate applied science skills in emerging talent.
Registrations for the third edition of the ML Summer School are now open and will remain so until September 6. The program, which commences on September 16, spans four weeks and encompasses eight virtual modules. Topics covered include deep neural networks, supervised learning, probabilistic graphical models, and unsupervised learning.
For those interested in obtaining further details about Amazon’s Machine Learning Summer School initiative, including the comprehensive schedule and the complete list of tutors, a visit to the ML Summer School website is recommended. The program represents a noteworthy step forward in Amazon’s commitment to nurturing and advancing the skills of aspiring machine learning professionals.
