Amazon India Launches Machine Learning Summer School India 2022 | Free Machine Learning Certificate
About Amazon ML Summer School India
Students will get the opportunity to learn abilities in Machine Learning (ML), which is the first step in being ready to build a career in ML. The goal of the Amazon ML Summer School is to provide students with this opportunity. This Programme offers an intense course on key topics in machine learning, including Supervised Learning, Deep Neural Networks, Probabilistic Graphical Models, Dimensionality Reduction, and Unsupervised Learning. This presents a fantastic opportunity to pick the brains of Amazon Scientists who are extremely knowledgeable in the machine learning field and to engage in conversation with them. In 2021, Amazon ran a successful trial program for its Machine Learning Summer School, which led to the decision to extend the Programme and make it available to students currently enrolled in an accredited educational institution in India who are on track to graduate in 2023 or 2024.
Key takeaways:
- Amazon Scientists’ in-depth knowledge of the most important machine learning subjects
- Interact with Scientists and learn about the latest ground-breaking innovations on this platform.
- The possibility to train for a future profession in ML
Important Dates & Deadlines
- Registration open – Follow the below Apply Link
June 7, 2022 - Leadership Talk to learn more about Machine Learning opportunities at Amazon (Click here)
4:00 PM (IST) – 5:00 PM (IST) – June 16, 2022 - Registration closes
June 18, 2022 - Selection Test
June 18, 2022 - Selected Students Informed
June 23, 2021 - Amazon ML Summer School
July 2, 3, 9, 10, 16, 17, 23, 24, 2022
Eligibility Criteria
Students who are currently enrolled in a Bachelor’s, Master’s, or Ph.D. degree program in engineering at any recognized institute in India and who are anticipating graduating in 2023 or 2024 are eligible to enroll in ML Summer School.
Selection Process
The selection test will be divided up into two parts: Part A will consist of multiple-choice questions (MCQs) on principles of ML and math, including probability, statistics, and linear algebra. Part B will be an essay question. One programming question will be included in Part B of the exam. The total time allotted for the exam is going to be one hour.
