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Detailed Schedule : Approx 8 hours per week (According to DLI courses)

WeekDateStart TimeTopicDetails of the course - Subtopics
Week-0 15/01/22 09:30 am onwards System Access Information
  • Introduction to NSM systems
  • Introduction to DLI
  • Outline of the course
Week-1 22/01/22 09:30 am onwards Fundamentals of Accelerated Computing with CUDA C/C++
  • Essential syntax and concepts to write GPU code
  • Write, compile, and run GPU code
  • Control parallel thread hierarchy.
  • Allocate and free memory for the GPU
  • Profile CUDA code with the command-line profiler.
  • Deep on unified memory.
  • Optimize unified memory management.
  • Profile CUDA code with NVIDIA Nsight Systems.
  • Use concurrent CUDA streams.
Week-2 29/01/22 09:30 am onwards Fundamentals of Accelerated Computing with CUDA Python
  • Introduction to CUDA Python with Numba
  • Custom CUDA Kernels in Python with Numba
  • Multidimensional Grids, and Shared Memory for CUDA Python with Numba
Week-3 05/02/22 09:30 am onwards Fundamentals of Accelerated Data Science with RAPIDS
  • GPU-Accelerated Data Manipulation
  • GPU-Accelerated Machine Learning
  • Project: Data Analysis to Save the UK
Week-4 12/02/22 09:30 am onwards Accelerating Data Engineering workflows with RAPIDS
  • Data on the Hardware Level
  • ETL with NVTabular
  • Data Visualization
  • Final Project: Data Detective
Week-5 19/02/22 09:30 am onwards Fundamentals of Deep learning
  • The Mechanics of Deep Learning
  • Pre-trained Models and Recurrent Networks
  • Final Project: Object Classification
Week-6 26/02/22 09:30 am onwards Building Transformer-Based Natural Language Processing Applications
  • Introduction to Transformers
  • Self-Supervision, BERT, and Beyond
  • Inference and Deployment for NLP
Week-7 05/03/22 09:30 am onwards Building Conversational AI Applications
  • Introduction to Conversational AI
  • Model Customization
  • Inference and Deployment Challenges
Week-8 12/03/22 09:30 am onwards Building Intelligent Recommender Systems
  • Matrix-Based Recommender Systems
  • Training Wide and Deep Recommenders
  • Challenges of Deploying Recommendation Systems to Production
Week-9 19/03/22 09:30 am onwards Applications of AI for Anomaly Detection
  • Anomaly Detection in Network Data Using GPU-Accelerated XGBoost
  • Anomaly Detection in Network Data Using GPU-Accelerated Autoencoder
  • Project: Anomaly Detection in Network Data Using GANs