This course provides learners with a thorough understanding of parallel computing techniques for machine learning and insights into integrating Federated Learning for decentralized AI systems.
Start Date and Time
Sep first week, evenings.
₹ 75,000 + GST
Participants should have basic programming knowledge (Python is used throughout the course) and familiarity with ML concepts."
Basic computer skills, including familiarity with operating systems, file management, and basic software usage, are required to navigate and complete course assignments effectively.
This course is specifically designed for beginners in parallel computing; therefore, participants with little or no prior experience in parallel programming or distributed systems are welcome to join.
What is included ?
Engage with interactive lessons that incorporate multimedia elements like videos, quizzes, and exercises to enhance your understanding and retention of the material.
Participate in online discussion forums where you can connect with fellow learners, share insights, ask questions, and engage in meaningful discussions related to the course content. .
Participate in practical assignments and projects that reinforce learning, allowing you to apply acquired concepts and skills. Gain hands-on experience and build confidence in the subject matter.
Regular assessments and quizzes evaluate your understanding of the course material, track your progress, and provide valuable feedback on your learning journey.
Introduction to Parallel Computing &
Machine Learning Algorithms
Identifying parallelism opportunities in common ML algorithms, implementing parallel versions with OpenMP, and evaluating performance gains.
GPU Acceleration with
Optimization for ML
Distributed Systems &
MPI for ML at Scale
Parallel ML Libraries &
TensorFlow Distributed Strategies &
Applying TensorFlow distributed computing for large-scale ML, exploring data and model parallelism, and discussing future trends in Next-Gen AI, Parallel Computing, and Federated Learning.
Prof. Sashikumaar Ganesan
Prof. Sashi, a dedicated educator with extensive expertise, takes great pleasure in mentoring graduates and working professionals alike. He has delivered enlightening courses on Artificial Intelligence, Machine Systems and Industrializing ML (MLOps) to over 750 working professionals, earning admiration from students and industry experts.