Amazon India announces the launch of machine learning (ML) summer school for engineering students

On June 13, Amazon India announced the launch of a Machine Learning (ML) summer school, an integrated learning programme for students that have applied for ML skills.

Amazon India stated that ML Summer School has been introduced to help train students in ML and address the increasing demand for talent with this skill set across various industries.

The programme will be available for engineering students who are in their pre-final or final year of Bachelors, Masters or PhD studies across select tech campuses in 2021 such as IIT Bombay, IIT Kharagpur, IIT Delhi, IIIT (Indian Institute of Information Technology) Hyderabad, Birla Institute of Technology (BITS), National Institute of Technology (NIT), Tiruchirappalli and Anna University among others. The participants will be identified through an online assessment test.

Under this programme, a batch of students from select tech campuses will be given the opportunity to engage with virtual classrooms tutorials. It will be followed by interacting with scientists at Amazon through Q&A sessions.

Students will receive first-hand lessons on how advanced ML techniques like Deep Learning and Probabilistic Graphical Models can be leveraged to solve specific business issues in the e-commerce domain such as demand forecasting, catalogue quality, product recommendations, search ranking and online advertising.

According to the e-commerce giant, students will be able to access Amazon Research Days (ARD) conference where they can learn about technology trends in the industry through presentations from eminent ML leaders around the globe.

It will cover fundamental ML concepts and link them to practical industry applications through an immersive three-day course.

Rajeev Rastogi, the VP of India Machine Learning at Amazon said, “With the pace of advancements in ML, we are proactively helping students to learn about the latest trends in the field of ML an apply them to solve real-world problems.”

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