Amazon India announced the launch of an integrated learning programme for students to learn applied Machine Learning skills on Sunday and it is a step in making them industry ready for careers in the new technology. ML Summer School has been introduced to train students in Machine Learning and inscribe the growing demand for talent with this skill across various industries.
Amazon declared that the students will enter the Amazon Research Days (ARD) conference where they can learn about technology trends in the industry through presentations from renowned ML leaders around the world. Amazon India will shortlist students from universities with whom they are collaborating with through online assessment.
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“With the pace of advancements in ML, we are proactively helping students to learn about the latest trends in the field of ML and apply them to solve real-world problems,” Rajeev Rastogi, VP – India Machine Learning at Amazon, said.He also added that the company has collaborated with universities to provide hands-on learning experiences to students who are passionate to learn more about ML applications in industry.
Amazon India Offers Machine Learning Program: Important Dates
- Registration Starts: June 14, 2021
- Meeting with Leaders at Amazon and ML Summer School : June 22, 2021 (4 – 5 PM)
- Registration Closes :June 25, 2021
- Selection Test : June 26, 2021
- Selected Students Informed : June 29, 2021
- ML Summer School : July 9 – July 11, 2021
Amazon has collaborated with some universities like
|IIT Bombay||IIT Madras|
|IIT Kharagpur||IIT Delhi|
|IIT BHU||IIIT Hyderabad|
|IIIT Bangalore||Indraprastha Institute of Technology in Delhi|
|ISM Dhanbad||IIT Roorkee|
|IIT Guwahati||NIT Tiruchirappalli|
|NIT Surathkal||NIT Warangal|
|Anna University||Delhi Technological University|
Amazon Machine Learning Program: Highlights
Duration : 3 Days
Registration Deadline: June 25, 2021
Eligibility: Pre-final/Final year of Bachelors, Masters or PhD programs in Engineering (selective campuses)
Amazon India Machine Learning Program: Curriculum
The curriculum of machine learning summer school will include fundamental concepts in Machine Learning and linking them to practical industry applications through an extraordinary 3-day course. Students will get to learn first-hand on how advanced ML techniques such as Deep Learning and Probabilistic Graphical Models can be leveraged to solve specific business problems in the e-commerce domain such as demand forecasting, catalogue quality, product recommendations, search ranking and online advertising.
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