Objectives and Setup
10 min
Download Resources
1 min
Solutions
3 min
High Performance Computing
- Master high-performance computing to tackle complex computations with speed and efficiency.
- Learn to optimize algorithms, leverage parallel processing, and scale applications seamlessly.
- Get hands-on with distributed computing, GPU acceleration, and real-world HPC workflows.
Created by Selva Prabhakaran
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Actively Updating
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English
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English captions
Validity Period: 365 days
Already Subscribed? Click here to access your courses
- Course Certificate
- Code Walkthroughs
- Practice Data
- Money Back if not satisfied
- Algorithms explanation
- 2h 26m of Self-paced videos
- Downloadable resources
- Q&A sessions with experts
What you will learn
01
High-Performance Computing Fundamentals
02
Parellel and Distributed Processing
03
GPU Acceleration and Optimization
04
Scalability and Load Balancing
05
HPC Tools and Frameworks
06
Real-world application in AI and Data Science
Course Curriculum
9 Modules | 70 Sessions | 6 hour 17 min Total Time
ByteCode Programming
Sessions: 7 | Time: 29 min
Time Complexity
Sessions: 5 | Time: 28 min
Memory Hierarchy
Sessions: 7 | Time: 28 min
Profiling
Sessions: 4 | Time: 16 min
Threading
Sessions: 13 | Time: 1 hr 31 min
Multiprocessing
Sessions: 10 | Time: 43 min
Async Programming
Sessions: 7 | Time: 30 min
Cython
Sessions: 10 | Time: 56 min
CUDA Programming
Sessions: 7| Time: 56 min
Requirements
- Basic Maths and Logical Reasoning
- Curiosity about Data Science
- Learning Mindset
Who should attend this course?
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Future Data Scientists and ML Engineers
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Product Managers, Program Managers, Scrum Masters working in ML/Data science project
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Software/Data engineers interested in quantitative analysis
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Software engineers interfacing with data science team
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Executives who have to lead or interact with Data Scientists
Instructor
Selva Prabhakaran Principal Data Scientist
My name is Selva, and I am super excited to mentor you on this project!
I head the Data Science team for a global Fortune 500 company and over the last
10 years of my data science experience I’ve deployed 20+ global products. I’m
also the Founder & Chief Author of Machine Learning Plus, which has over 4M
annual readers.
I specialize in covering the in-depth intuition and maths of any concept or
algorithm. And based on my existing student requests, I’ve put up the series of
courses and projects with detailed explanations – just like an on the job
experience. Hope you love it!
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4.5+Instructor rating
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200+ reviews
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10K+students
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15+ Courses
Validity Period: 365 days
Already Subscribed? Click here to access your courses
- Workshop Certificate
- Code Walkthroughs
- Practice Data
- Money Back if not satisfied
- Algorithms explanation
- 2h 26m of Self-paced videos
- Downloadable resources
- Q&A sessions with experts
Book your visit now
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