Modules / Lectures


Sl.No Chapter Name MP4 Download
1Introduction to AI Systems Hardware part 1Download
2Introduction to AI Systems Hardware - part 2Download
3Introduction to AI Accelerators,GPUsDownload
4Introduction to Operating Systems, Virtualization, Cloud - part 1Download
5Introduction to Operating Systems, Virtualization, Cloud part 2Download
6Introduction to Containers and IDE Dockers part1Download
7Introduction to Containers and IDE Dockers part 2Download
8Scheduling and Resource Management part 1Download
9Scheduling and Resource Management part 2Download
10"DeepOps: Deep Dive into Kubernetes with deployment of various AI based Services." Part 1Download
11"DeepOps: Deep Dive into Kubernetes with deployment of various AI based Services." Part 2Download
12"DeepOps: Deep Dive into Kubernetes with deployment of various AI based Services Session II part1"Download
13"DeepOps: Deep Dive into Kubernetes with deployment of various AI based Services Session II part 2"Download
14Design principles for Building High Performance Clusters part 1Download
15Design principles for Building High Performance Clusters part 2Download
16Design principles for Building High Performance Clusters part 3Download
17Design principles for Building High Performance Clusters part 4Download
18Introduction to Pytorch part 1Download
19Introduction to Pytorch part 2Download
20Introduction to Pytorch part 3Download
21Introduction to Pytorch part 4Download
22Profiling with DLProf Pytorch Catalyst part 1Download
23Profiling with DLProf Pytorch Catalyst part 2Download
24Introduction to TensorFlow part 1Download
25Introduction to TensorFlow part 2Download
26Accelerated TensorFlow Part 1Download
27Accelerated TensorFlow Part 2Download
28Accelerated TensorFlow - XLA Approach Part 1Download
29Accelerated TensorFlow - XLA Approach part 2Download
30Optimizing Deep learning Training: Automatic Mixed Precision part 1Download
31Optimizing Deep learning Training: Automatic Mixed Precision part 2Download
32Optimizing Deep learning Training: Transfer Learning part 1Download
33Optimizing Deep learning Training: Transfer Learning part 2Download
34Fundamentals of Distributed AI Computing Session 1 Part 1Download
35Fundamentals of Distributed AI Computing Session 1 Part 2Download
36Fundamentals of Distributed AI Computing Session 2 Part 1Download
37Fundamentals of Distributed AI Computing Session 2 Part 2Download
38Distributed Deep Learning using Tensorflow and HorovodDownload
39Challenges with Distributed Deep Learning Training ConvergenceDownload
40Fundamentals of Accelerating Deployment part 1Download
41Fundamentals of Accelerating Deployment part 2Download
42Accelerating neural network inference in PyTorch and TensorFlow part 1Download
43Accelerating neural network inference in PyTorch and TensorFlow part 2Download
44Accelerated Data Analytics part 1Download
45Accelerated Data Analytics part 2Download
46Accelerated Data Analytics part 3Download
47Accelerated Data Analytics part 4Download
48Accelerated Machine LearningDownload
49Scale Out with DASKDownload
50Web visualizations to GPU accelerated crossfiltering part 1Download
51Web visualizations to GPU accelerated crossfiltering part 2Download
52Accelerated ETL Pipeline with SPARK part 1Download
53Accelerated ETL Pipeline with SPARK part 2Download

Sl.No Chapter Name English
1Introduction to AI Systems Hardware part 1Download
Verified
2Introduction to AI Systems Hardware - part 2Download
Verified
3Introduction to AI Accelerators,GPUsPDF unavailable
4Introduction to Operating Systems, Virtualization, Cloud - part 1PDF unavailable
5Introduction to Operating Systems, Virtualization, Cloud part 2PDF unavailable
6Introduction to Containers and IDE Dockers part1PDF unavailable
7Introduction to Containers and IDE Dockers part 2PDF unavailable
8Scheduling and Resource Management part 1PDF unavailable
9Scheduling and Resource Management part 2PDF unavailable
10"DeepOps: Deep Dive into Kubernetes with deployment of various AI based Services." Part 1PDF unavailable
11"DeepOps: Deep Dive into Kubernetes with deployment of various AI based Services." Part 2PDF unavailable
12"DeepOps: Deep Dive into Kubernetes with deployment of various AI based Services Session II part1"PDF unavailable
13"DeepOps: Deep Dive into Kubernetes with deployment of various AI based Services Session II part 2"PDF unavailable
14Design principles for Building High Performance Clusters part 1PDF unavailable
15Design principles for Building High Performance Clusters part 2PDF unavailable
16Design principles for Building High Performance Clusters part 3PDF unavailable
17Design principles for Building High Performance Clusters part 4PDF unavailable
18Introduction to Pytorch part 1PDF unavailable
19Introduction to Pytorch part 2PDF unavailable
20Introduction to Pytorch part 3PDF unavailable
21Introduction to Pytorch part 4PDF unavailable
22Profiling with DLProf Pytorch Catalyst part 1PDF unavailable
23Profiling with DLProf Pytorch Catalyst part 2PDF unavailable
24Introduction to TensorFlow part 1PDF unavailable
25Introduction to TensorFlow part 2PDF unavailable
26Accelerated TensorFlow Part 1PDF unavailable
27Accelerated TensorFlow Part 2PDF unavailable
28Accelerated TensorFlow - XLA Approach Part 1PDF unavailable
29Accelerated TensorFlow - XLA Approach part 2PDF unavailable
30Optimizing Deep learning Training: Automatic Mixed Precision part 1PDF unavailable
31Optimizing Deep learning Training: Automatic Mixed Precision part 2PDF unavailable
32Optimizing Deep learning Training: Transfer Learning part 1PDF unavailable
33Optimizing Deep learning Training: Transfer Learning part 2PDF unavailable
34Fundamentals of Distributed AI Computing Session 1 Part 1PDF unavailable
35Fundamentals of Distributed AI Computing Session 1 Part 2PDF unavailable
36Fundamentals of Distributed AI Computing Session 2 Part 1PDF unavailable
37Fundamentals of Distributed AI Computing Session 2 Part 2PDF unavailable
38Distributed Deep Learning using Tensorflow and HorovodPDF unavailable
39Challenges with Distributed Deep Learning Training ConvergencePDF unavailable
40Fundamentals of Accelerating Deployment part 1PDF unavailable
41Fundamentals of Accelerating Deployment part 2PDF unavailable
42Accelerating neural network inference in PyTorch and TensorFlow part 1PDF unavailable
43Accelerating neural network inference in PyTorch and TensorFlow part 2PDF unavailable
44Accelerated Data Analytics part 1PDF unavailable
45Accelerated Data Analytics part 2PDF unavailable
46Accelerated Data Analytics part 3PDF unavailable
47Accelerated Data Analytics part 4PDF unavailable
48Accelerated Machine LearningPDF unavailable
49Scale Out with DASKPDF unavailable
50Web visualizations to GPU accelerated crossfiltering part 1PDF unavailable
51Web visualizations to GPU accelerated crossfiltering part 2PDF unavailable
52Accelerated ETL Pipeline with SPARK part 1PDF unavailable
53Accelerated ETL Pipeline with SPARK part 2PDF unavailable


Sl.No Language Book link
1EnglishNot Available
2BengaliNot Available
3GujaratiNot Available
4HindiNot Available
5KannadaNot Available
6MalayalamNot Available
7MarathiNot Available
8TamilNot Available
9TeluguNot Available