Enrolled in Top Notch Course – Certification in Artificial Intelligence
In line with the PAE AI Vision (PAIV) group’s mission for “developing the human capital, expertise infrastructure, and tools to capitalize on the generational AI opportunity,” the department of Electronic Engineering at the Islamia University of Bahawalpur intends to start an AI training program by utilizing its existing infrastructure. The training program will be mainly…
The main objectives of starting this program include:
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The department intends to adapt the curriculum devised by PAIV under its Advanced Certificate in Machine Learning (ACML) for an eight month training program in addition to other short courses, seminars/webinars, hands-on-workshops and other skill development activities.
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Foster a culture of research, promote interdisciplinary collaboration and align the lab’s activities with the needs of the industries and businesses.
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Encourage innovation and entrepreneurship by supporting startups, projects and initiatives.
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Establish collaboration with other institutes, research centers, and industries to expand our reach and impact.
Offered Courses
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Programming for Machine Learning
The Python part of the course is similar to Stanford CS 41. Students will also be taught Numpy and usage of other Scientific Python Libraries. Students will be taught Linux as in CS 1U. Source control techniques and usage of other software development tools will be taught as well. Finally, students will gain mastery of working in a cloud environment such as AWS.
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Mathematics For Machine Learning
The first half of the course covers Linear Algebra and Multivariable Calculus as in Math 51. The second half of the course covers CS 109 Introduction to Probability for Computer Scientists. Homeworks will also have programming assignments to further develop programming skills developed in the earlier course.
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Machine Learning
Same as Stanford CS 229
Course Dynamics
Program Duration
8 Months
Total Seats
40 Students per batch
Eligibility Criteria
- At least 6 semesters in a relevant degree preferably in CS, AI, Electrical/Electronic Engineering, IT, Software Engineering, Computer Systems Engineering
- Relevant knowledge through online courses/specializations
Class Schedule
4 PM to 7 PM, Mon-Fri
