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BITS Pilani launches MTech in AI and ML

The program consists of four semesters including a dissertation in the final semester and will cover areas like NLP, computer vision, robotics and cyber security.

BITS Pilani launches MTech in AI and ML

Key takeaways

  • BITS Pilani has launched an MTech programme in AI and ML aimed at working professionals.
  • The programme spans four semesters and includes a dissertation in the final semester.
  • It focuses on areas such as natural language processing, computer vision, robotics, and cyber security.
  • Online weekend lectures will be conducted by faculty from BITS Pilani.
  • The course aims to deepen understanding of ethical issues related to AI and ML applications.

Takeaways drafted with AI from the article text.

Launched by the Work Integrated Learning Programmes (WILP) division of the institute, the programme consists of four semesters, including a dissertation in the final semester that will cover a wide range of skills for technology professionals and help them advance their careers as AI and ML scientists. 

The course also features online lectures on weekends conducted by BITS Pilani faculty.

The course will focus on AI application areas such as natural language processing (NLP), computer vision, robotics and cyber security with software application and associated system support with implementation beyond data science using tools and technologies like Tensorflow for Deep Learning, Python libraries, OpenCV for computer vision, NLTK for NLP.

Professor Anita Ramachandran, head of the computer science and information system group of WILP at BITS Pilani, emphasised the importance of the course and said that the subjects and electives of the programme are designed to aid the comprehensive development of knowledge and skills and familiarise ML engineers with algorithms such as supervised, unsupervised, and reinforcement learning along with application areas like NLP, computer vision, robotics, and cyber security.

Professor Ramachandran added that this program will help engineers better understand the underlying ethical issues in applying AI and ML.

According to reports, the global AI market was valued at USD 65.48 billion in 2020 and is projected to reach USD 1581.7 billion in value by 2030.

The last date to apply for admission to the course is September 12, 2022.

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