Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
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English | Self Study | Video and Text Based |
Data science, machine learning, and scientific computation need to solve calculation-intensive problems. Therefore, the code’s execution speed plays a key role in proper operations. The LAFF-On Programming for High-Performance certification course will teach you basic methods to speed up your code and achieve high performance on your modernistic CPUs.
The LAFF-On Programming for High-Performance by edX emphasizes on amortization of data transfer cost and picking the appropriate algorithm to accomplish considerable speedup and high efficiency. Moreover, you will learn about extracting parallelism at multiple levels and other techniques for optimizing performance.
The LAFF-On Programming for High-Performance certification syllabus utilizes notable examples of matrix-matrix multiplication to demonstrate cardinal procedures essential in pushing your modern CPUs to reach their full potential. The course has a comprehensive curriculum to equip you with the skills to implement high-efficiency techniques. It will also provide MATLAB online licenses to the learners for free during the course duration. The candidates can participate in the programme by enrolling using any of the available tracks namely audit or the verified track. During both tracks, the candidates will be able to progress at their speed but in the audit track, the course material access is limited. Moreover, in the verified track, the candidates shall be able to access the course materials for an unlimited period and during the verified track the candidates will be getting only limited period access.
Fees Informations | Certificate Availability | Certificate Providing Authority |
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INR 8260 | yes | University of Texas, Austin |
Interested candidates can access the LAFF-On Programming for High-Performance by edX, free of charge.
To receive the certificate, candidates must pay a fee of Rs. 8,260
LAFF-On programming for high-performance course fee structure
Course option | Fee |
LAFF-On Programming for High Performance (Audit only) | FREE |
LAFF-On Programming for High Performance (with certificate) | Rs. 8,260 |
The LAFF-On Programming for High-Performance training has a few prerequisites for joining. As it is an intermediate level course, Linux and programming’s foundational understanding is a must. Furthermore, you must have access to a recent x86 computer processor running the Linux OS. Primary exposure to matrix-matrix multiplication is also required.
Post-completion of LAFF-On Programming for High-Performance programme, you will be adept at:
Begin with the LAFF-On Programming for High-Performance course at edX by following the easy series of steps given below.
Step 1 – Tap on - https://www.edx.org/learn/computer-programming/the-university-of-texas-at-austin-laff-on-programming-for-high-performance It will open the LAFF-On Programming for High Performance online course page.
Step 2 – Near the top of the webpage, click on the ‘Enroll’ button.
Step 3 – Now, you will have to sign up for an edX account. Enter and submit your details for registration. Alternatively, you can sign in instantly by linking your existing Apple, Google, Facebook or Microsoft account.
Step 4 – After registering, you will enrol in the LAFF-On Programming for High-Performance by edX. A ‘Congratulations’ message will be displayed to confirm your enrolment.
Joining the LAFF-On Programming for High-Performance online programme does not require you to fill any application form. Registration with edX is enough for getting access to the course. However, you must provide your details like country of residence, email, password, public username, etc.
The University of Texas at Austin, US accredits this online course.
The LAFF-On Programming for High-Performance training has three expert instructors of The University of Texas at Austin. Maggie Myers, who is a lecturer at the Department of Statistics and Data Sciences. Robert van de Gejin, Professor of Computer Science. Finally, Devangi Parikh, who is a research fellow.
The course is open for enrolment on the edX website, and you can start right away.
The certification is excellent to add value to your CV or resume. It is sharable on LinkedIn and supports edX as a non-profit organisation to keep access free for such courses.