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Individual Workshop

Individual Workshop (Online Workshop/Training)

In its quest to further fortify the manpower of the country in the futuristic technologies, IACC is now offering Online Workshops for trending technologies. These technologies involves Advanced Deep Learning, Cloud Computing, Deep Learning & Quantum Computing.

Duration - Two Days Workshop
Timing - 09.00 AM to 5.00 PM
Registration Fee - 1000 INR, Non Refundable (Every participant will get certificate).
Requirement and prerequisite - A laptop with good internet connectivity and knowledge of any one programming language is required.

Upcoming Workshops

Event
2 December 2023

Cloud Computing

 10:00 Am - 3:00 Pm Rc Auditorim

IACC is now offering Online Workshops for trending technologies.

Event
2 December 2023

Advanced Deep Learning

 10:00 Am - 3:00 Pm Rc Auditorim

IACC is now offering Online Workshops for trending technologies.

Workshop Content

Cloud Computing :

Workshop Target:

  • Each module will have demos, case studies & practical implementations so that participants get the better understanding of the concepts.
  • Our target goal will be to provide them enough information on the AWS services so that they can prepare themselves & gain certifications for AWS Cloud certified Practitioner and Solution Architect exams.

Research Topics:

  • Research topics in cloud computing such as cloud resource provisioning, task scheduling, Green Cloud Computing, Edge and Fog computing will also be covered during the workshop.

Workshop Schedule:

Day 1
  • Introduction - Cloud Computing and Virtualization, Datacentre
  • Cloud Service & Deployment Models, Mapping - Enterprise DC & AWS
  • Compute - EC2 (Elastic Compute Cloud)
  • Storage - EBS (Elastic Block Store)
  • Network - VPC (Virtual Private Cloud)
  • Network - ELB (Elastic Load Balancer)
  • Compute - Auto Scaling
  • Network - Route53
Day 2
  • Storage - S3 (Simple Storage Service)
  • Storage - EFS (Elastic File Store)
  • Security & Identity - IAM (Identity and Access Management)
  • Command Line Interface
  • Database -RDS & DynamoDB
  • Notification - Simple Notification Service (SNS)
  • Monitoring - CloudWatch
  • Serverless Compute
  • Lambda
  • Automation - Infrastructure as a Code (IaaC)
  • Cloud Trial
  • Trusted Advisor
Lab Platform:

AWS Cloud (every participant will have to create own AWS free tier account to perform AWS Lab Hands-on)

Deep Learning:

Workshop Target:

Each module will have demos, case studies & practical implementations so that participants get the better understanding of the concepts.

Our target goal will be to provide enough information on the Deep Learning, so the participant can utilize the gained knowledge for the development of various applications.

Workshop Schedule:

Day 1
Theory Session
  • Motivation: Foundations and Terminology of Deep Learning
  • AI vs ML vs DL: A comparison
  • Features and Weights
  • Machine Learning Recap: Linear Regression, Logistic Regression
  • Activation Functions
  • Neural Networks
  • Loss Functions
  • Gradient Descent
  • Feedforward and Backward Propagation
  • Deep Learning Model training
Lab Session
  • Hands on with Python
  • Building Neural Networks Lab
Theory Session
  • Dataset splitting and distribution
  • Evaluation Metrics
  • Error Analysis
  • Bias vs Variance
  • Performance comparison
  • Regularization
  • L1/L2 regularization, Dropout
  • Early Stopping, Normalization
  • Optimization methods
  • Hyperparameter Tuning
Lab Session
  • Neural Network Hyperparameter Tuning and Optimization
Day 2
Theory Session
  • ANN vs CNN
  • Convolution, pooling, padding, striding
  • Inception Network
  • Transfer Learning
  • Applications of CNN
  • Object Detection
  • Landmark Detection
  • Siamese Networks
Lab Session
  • Building Convolutional Neural Networks
  • Analysis of convolution, pooling, padding and striding
Lab Session
  • ANN vs RNN
  • Sequential Processing with RNN
  • Forward and Back Propagation
  • Language Models
  • Sampling data from RNN
Lab Session
  • Building Recurrent Neural Networks
  • Text Classification with Custom Dataset
Theory Session
  • LSTM and GRU
  • Word Embedding Models
  • Sentiment Analysis
  • Image Captioning
  • Machine Translation
  • Speech Transcription
Online Exam

Advanced Deep Learning:

Workshop Target:

Each module will have demos, case studies & practical implementations so that participants get the better understanding of the concepts.

Our target goal will be to provide enough information on the Advanced Deep Learning, so the participant can utilize the gained knowledge for the development of various applications.

Workshop Schedule:

Day 1
  • Hands on with Tensorflow 2.0 and PyTorch
  • Unsupervised Deep Learning
  • Sparse Coding
  • Restricted Boltzman Machine
Day 2
  • Deep Belief Networks
  • Autoencoders, Variational Autoencoders
  • Generative Adveersial Networks (GANs)
  • 3D CNN, YOLO v3, RefineDet, M2Det
  • Image Segmentation, Style Transfer

Quantum Computing Workshop:

Workshop Target:

Each module will have demos, case studies & practical implementations so that participants get the better understanding of the concepts.

Our target goal will be to provide enough information on the Quantum Computing and Quantum machine Learning so the participant can utilize the gained knowledge for the development of various applications.

Workshop Schedule:

Day 1
  • Quantum System
  • Physical phenomena
  • Quantum Superposition principle
  • Normalization
  • Hermitian, Unitary
  • Pauli matrices, Complex Vector Space, State Space: Hilbert Space
Day 2
  • Quantum states and Qubit, Representing Qubit States
  • Quantum Algorithms
  • Quantum Auto Encoder
  • Quantum kernel estimation
  • Quantum machine Learning
Online Workshop/Training