IIT Palakkad proffers free online course on artificial intelligence

IIT Palakkad proffers free online course on artificial intelligence

Last Updated Jul - 21 - 2022, 12:35 PM | Source : | Visitors : 63

New Delhi: Indian Institute of Technology (IIT) Palakkad is offering a 12-week online free course on Artificial Intelligence (AI) on its NPTEL (National Programme on Technology Enhanced Learning) platform. The course titled ‘Applied Accelerated Artificial Intelligence’ will cover the fundamentals of the compute capabilities and system software required to implement AI-based solutions in industrial use cases, like in the domains of healthcare and Smart City. Participants who complete the course successfully and take an examination by paying Rs 1000 will also be given certificates.

The courses will be conducted by professor Satyadhyan Chickerur, head of the Centre for High-Performance Computing at KLE Technological University, Hubli; professor Tosin Adesuyi, from the Department of Computer and Software Engineering, Kumoh National Institute of Technology; professor Bharatkumar Sharma, a senior solutions architect at Nvidia; professor Satyajit Das, Assistant Professor in the department of computer science and engineering, IIT Palakkad; and, professor Ashrut Ambastha, principal engineer at Nvidia.

READ | IIT Bombay students stage protest over fee hike for M.Tech, PhD courses

Who Can Take the IIT Palakkad Free Online Course on Artificial Intelligence?

To be eligible for the course, students require to have prior knowledge of computer organization, high-performance computing, machine learning, and deep learning.

• PhD scholars and postgraduate students from any stream of science or engineering can enroll in the course. 
• Postgraduate students from any stream of science or engineering.
• Third and fourth-year undergraduate students from any stream of engineering and working professionals.
• Non-students and working professionals may also apply.

What will the IIT Palakkad Free Online Course cover?

• Introduction to AI System Hardware
• Introduction to AI Accelerators GPUs
• Introduction to Containers and IDE
• Introduction to System Software Operating System, Virtualisation, Cloud and more.
• Frameworks for accelerated deep learning workloads
• Fundamentals of distributed AI computing, and so on.

Detailed Course Layout

Week 1: Introduction to AI System Hardware CPU, RAM, GPU, Interconnects, Storage, Network Controller; Introduction to AI Accelerators GPUs (Lecture); Introduction to System Software Operating System, Virtualization, Cloud; (Lecture)

Week 2: Introduction to Containers and IDE (Jupyter Demo) ( Lecture + Demo ); Scheduling and Resource Management Introduction to schedulers and orchestration tools ( Lecture ); DeepOps: Deep-dive into Kubernetes with the deployment of various AI-based services (Lecture + Demo)

Week 3: DeepOps (contd) (Lecture + Demo ); Design principles for building High Performance compute clusters for AI ( Lecture ); Implementation details for building High Performance compute clusters for AI (contd) (Lecture)

Week 4: Frameworks for Accelerated Deep Learning Workloads - PyTorch (Lecture); Frameworks for Accelerated Deep Learning Workloads - PyTorch (contd) (Lecture + Demo); Accelerated PyTorch (Lecture + Demo)

READ | AICTE opens scholarships applications on National Scholarship Portal 2022-23

Week 5: Frameworks for Accelerated Deep Learning Workloads - TensorFlow (Lecture); Frameworks for Accelerated Deep Learning Workloads - TensorFlow (contd) (Lecture + Demo); Accelerated TensorFlow (Lecture + Demo)

Week 6: Optimizing Deep Learning Training: Automated Mixed Precision (Lecture + Demo); Optimizing Deep Learning Training: Transfer Learning (Lecture + Demo)

Week 7: Fundamentals of Distributed AI Computing: Multi-GPU and multi-node implementation (MPI, NCCL, RDMA) (Lecture); Distributed AI Computing: Horovod (Lecture + Demo)

Week 8: Challenges with Distributed Deep Learning Training Convergence (Lecture + Demo); Fundamentals of Accelerating Deployment (Lecture + Demo)

Week 9: Accelerating neural network inference in PyTorch and TensorFlow (Lecture + Demo); Accelerated Data Analytics (Lecture + Demo); Accelerated Machine Learning (Lecture + Demo)

Week 10: Scale Out with DASK; Web visualizations to GPU accelerated crossfiltering (Lecture + Demo); Accelerated ETL Pipeline with SPARK

Week 11: Applied AI: Smart City (Intelligent Video Analytics); Applied AI: Smart City (Intelligent Video Analytics) (Contd.)

Week 12: Applied AI: Healthcare (Federated Learning, AI Assisted Annotation); Applied AI: Healthcare (Federated Learning, AI Assisted Annotation)

Important Dates of IIT Palakkad Free Online Course

Interested and eligible students will have to enroll on the official website before August 1, 2022. The course will be conducted from 25 July to 14 October 2022. The exam will be conducted on 29 October 2022, and the course also carries 3 credit points.

READ | Don’t fall into trap! Don't take admission in this university, UGC warns students

The course carries three credit points. In case, a student wants a certificate, they have to appear for the exam and pay a fee of INR 1,000.  Students who successfully complete the exam will be given a certificate with the NPTEL and IIT Madras logos on it.

Share :