Week 1: Introduction to AI Systems Hardware part 1,Introduction to AI Systems Hardware part 2,Introduction to AI Accelerators,GPUs,Introduction to Operating Systems, Virtualization, Cloud part 1,Introduction to Operating Systems, Virtualization, Cloud part 2
Week 2: Introduction to Containers and IDE Dockers part1,Introduction to Containers and IDE Dockers part 2,Scheduling and Resource Management part 1,Scheduling and Resource Management part 2,DeepOps: Deep Dive into Kubernetes with deployment of various AI based Services Part 1,DeepOps: Deep Dive into Kubernetes with deployment of various AI based Services Part 2
Week 3: DeepOps: Deep Dive into Kubernetes with deployment of various AI based Services Session II part1,DeepOps: Deep Dive into Kubernetes with deployment of various AI based Services Session II part 2,Fundamentals of Distributed AI Computing Session 1 Part 1,Fundamentals of Distributed AI Computing Session 1 Part 2,Fundamentals of Distributed AI Computing Session 2 Part 1,Fundamentals of Distributed AI Computing Session 2 Part 2
Week 4: Introduction to Pytorch part 1,Introduction to Pytorch part 2,Introduction to Pytorch part 3,Introduction to Pytorch part 4,Profiling with DLProf Pytorch Catalyst part 1,Profiling with DLProf Pytorch Catalyst part 2
Week 5: Introduction to TensorFlow part 1,Introduction to TensorFlow part 2,Accelerated TensorFlow,Accelerated TensorFlow,Accelerated TensorFlow - XLA Approach,Accelerated TensorFlow - XLA Approach
Week 6: Optimizing Deep learning Training: Automatic Mixed Precision part 1,Optimizing Deep learning Training: Automatic Mixed Precision part 2,Optimizing Deep learning Training: Transfer Learning part 1,Optimizing Deep learning Training: Transfer Learning part 2
Week 7: Distributed Deep Learning using Tensorflow and Horovod ,Challenges with Distributed Deep Learning Training Convergence , Fundamentals of Accelerating Deployment part 1,Fundamentals of Accelerating Deployment part 2
Week 8: Accelerating neural network inference in PyTorch and TensorFlow part 1,Accelerating neural network inference in PyTorch and TensorFlow part 2,Accelerated Data Analytics part 1,Accelerated Data Analytics part 2,Accelerated Data Analytics part 3,Accelerated Data Analytics part 4,Accelerated Machine Learning
Week 9:Scale Out with DASK,Web visualizations to GPU accelerated crossfiltering part 1,Web visualizations to GPU accelerated crossfiltering part 2, Accelerated ETL Pipeline with SPARK part 1, Accelerated ETL Pipeline with SPARK part 2
Week 10: Introduction to NLP part 1 ,Introdcution to NLP part 2
Week 11: Applied AI: Smart City ( Intelligent Video Analytics) Session 1 part 1,Applied AI: Smart City ( Intelligent Video Analytics) Session 1 part 2,Applied AI: Smart City ( Intelligent Video Analytics) Session 2 Deepstream part 1,Applied AI: Smart City ( Intelligent Video Analytics) Session 2 Deepstream part 2
Week 12: Text Classification,Machine Translation,Introduction to Large Language Models and Transformer Architecture,Pre-training and Fine-tuning and Bias and fairness in large language models
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