Amazon India launches 4th edition of machine learning summer school; registration begins from May 31

NEW DELHI: Amazon India launched the fourth edition of Machine Learning (ML) Summer School. This immersive program aims to give students the chance to learn essential ML skills and technologies from Amazon scientists, preparing them for a career in the field. The registration for Amazon machine learning summer school begins from May 31. The last date to apply is June 21.

Rajeev Rastogi, vice president, International Machine Learning, Amazon, said, “Machine learning has become pivotal in solving customer problems driving a surge in demand for ML. However, the demand for ML workforce is surpassing the available talent pool. With Amazon ML Summer School, our aim is to bridge this gap by making students industry-ready for science careers, focusing on cultivating ML expertise and applied science skills. Besides delivering top-tier training across a wide range of machine learning topics, this year, we're also emphasizing an application-driven approach crucial to equipping talent with hands-on experience to tackle real-world challenges.’’

Amazon Machine Learning Course: Modules

The free educational course will be held over 4 weekends in July. The Amazon machine learning course will cover eight modules. These modules cover areas such as supervised learning, deep neural networks, dimensionality reduction, unsupervised learning, sequential models, reinforcement learning, generative AI and LLMs, and Causal Inference. The focus is on nurturing a solid understanding of both theoretical principles and real-world applications.

Amazon Machine Learning Summer School Programme: Eligibility

The Machine Learning Summer School is open for engineering students pursuing bachelor's, master's, or PhD degrees at recognized institutes in India, with expected graduation dates in 2025 or 2026. Qualified students will undergo an assessment, and the top 3000 performers will secure enrollment in the ML Summer School programme.

Innovative learning approach

The official press release states that Amazon's ML Summer School stands out from conventional programs by delivering a distinctive educational journey that integrates theoretical principles with hands-on applications. This approach is in sync with contemporary industry standards and university curricula, accommodating students with varied ML backgrounds. Upon completion of the program, participants will have honed their skills in essential ML technologies.

Speaking on the experience, Prabash Male, a participant from the MLSS 2022 batch and currently working as an Applied Scientist at Amazon, said, “Amazon ML - Summer School had a significant impact on my career path in machine learning research. Sessions that were conducted as part of the summer school gave me unique insights into how most of the algorithms and concepts that I learned in college were being applied to solve large-scale problems across Amazon. This program helped me secure an internship with the Automatic Speech Recognition team in the Artificial General Intelligence (AGI) org. I gained hands-on experience training large-scale speech models, which directly contributed to other ongoing projects within Amazon. Overall, the summer school program provided me with an exceptional learning experience.”

Disclaimer: This content was distributed by Amazon India and has been published as part of Careers360’s marketing initiative.