IIT Delhi Certificate Programme in Machine Learning and Deep Learning: Enroll Today!
Explore the IIT Delhi Certificate Programme in Machine Learning and Deep Learning
Indian Institute of Technology Delhi (IIT Delhi) has launched the fourth batch of its certificate programme in machine learning (ML) and deep learning. This programme is crafted to equip professionals with the latest skills and in-depth knowledge required to excel in the rapidly evolving domain of machine learning and artificial intelligence.
Through this programme, learners will develop proficiency in efficient Python programming, mastering the skills to effectively load and pre-process data from both online and offline databases using the Pandas library, IIT Delhi said in a statement. Furthermore, students will delve into the fundamental principles and challenges of machine learning, designing and training neural networks with the powerful Keras and TensorFlow modules.
Key Features of the Programme
- The six-month programme is curated by IIT Delhi faculty.
- Coursework covers critical aspects of machine learning and deep learning.
- Subjects include Python, Data Processing, Data Analysis, Neural Networks, Deep Learning Architectures, and Recent Advances, among others.
The last date to apply for the certificate programme is August 28, 2024. Candidates must deposit a fee of Rs 1.69 lakh excluding taxes.
The programme is conducted via the state-of-the-art Interactive Learning (IL) platform and delivered in Direct-to-Device (D2D) mode. This will include 76 hours each of online and self-paced learning, a three-week capstone project, a masterclass, and an immersion session for interaction between faculty and learners at the IIT Delhi campus.
By the end of the programme, IIT Delhi claims learners will be equipped to design and implement a range of machine learning and deep learning techniques, applying them to real-world problems and applications.
This article was prepared using information from open sources in accordance with the principles of Ethical Policy. The editorial team is not responsible for absolute accuracy, as it relies on data from the sources referenced.