Jamia Milia Islamia (JMI) in India has announced a new short-term training program on artificial intelligence (AI) and machine learning (ML) starting next month, with university officials revealing that registrations are now open. To be hosted by the Department of Computer Engineering, the course will last for three weeks from July 4 to July 22, according to a brochure released by the university. There are 80 seats available, with 30 allotted for offline participants, and 50 for online attendees. All students from UG, PG, and PhD scholars and faculty with mathematical backgrounds are eligible to enrol, with first-come, first-serve allocation.
Classes will be held both online and offline, with lectures and practical work being conducted under the guidance of experienced professionals. The course will consist of five modules: Introduction to AI and Python Basics, Applied Data Science with Python, Machine Learning Algorithms, Deep Learning for Computer Vision using Keras and Tensorflow, and Deep Learning for Natural Language Processing using Keras and Tensorflow. It will be taught by industry practitioners and experienced faculty from JMI, and will also include lectures by faculty from IITs, NITs, and IIITs and foreign universities.
The course has a targeted curriculum on the essential concepts and techniques in AI and ML, with students evaluated throughout the course through various quizzes and assignments. The registration fee for students and academicians from Jamia is Rs 4,000, and Rs 6,000 for non-Jamia students and academicians. Resource materials and session slides will be distributed to all students, with the university granting a certificate upon completion of the program.
JMI’s Faculty of Engineering and Technology was ranked 26th among all Indian engineering institutes in the 2023 NIRF rankings.
Frequently Asked Questions (FAQs) Related to the Above News
What is Jamia Milia Islamia's new training program about?
Jamia Milia Islamia is offering a short-term training program on artificial intelligence (AI) and machine learning (ML).
When will the training program be conducted?
The training program will start on July 4 and will last for three weeks until July 22.
How many seats are available for the training program?
There are 80 seats available, with 30 allotted for offline participants and 50 for online attendees.
Who is eligible to enroll in the training program?
All students from UG, PG, and PhD scholars and faculty with mathematical backgrounds are eligible to enroll.
How will the course be conducted?
The course will be conducted both online and offline, with lectures and practical work being conducted under the guidance of experienced professionals.
What are the five modules included in the course?
The course will consist of the following five modules: Introduction to AI and Python Basics, Applied Data Science with Python, Machine Learning Algorithms, Deep Learning for Computer Vision using Keras and Tensorflow, and Deep Learning for Natural Language Processing using Keras and Tensorflow.
Who will be teaching the course?
The course will be taught by industry practitioners and experienced faculty from JMI, and will also include lectures by faculty from IITs, NITs, and IIITs and foreign universities.
How will students be evaluated during the course?
Students will be evaluated throughout the course through various quizzes and assignments.
What is the registration fee for the course?
The registration fee for students and academicians from Jamia is Rs 4,000, and Rs 6,000 for non-Jamia students and academicians.
Will students receive any certificate after completing the course?
Yes, the university will grant a certificate upon completion of the program.
How was JMI ranked in the 2023 NIRF rankings?
JMI's Faculty of Engineering and Technology was ranked 26th among all Indian engineering institutes in the 2023 NIRF rankings.
Please note that the FAQs provided on this page are based on the news article published. While we strive to provide accurate and up-to-date information, it is always recommended to consult relevant authorities or professionals before making any decisions or taking action based on the FAQs or the news article.
