12th IACC-Institutional Workshop

Category	Registration Fees	Registration Fees for IACC Member
Institutional Workshop	300 USD	200 USD
Note: Travel/Boarding for two persons will be arranged by host institution.

Robotic Process Automation Workshop:

What is Robotic Process Automation:

Robotic Automation Process (RPA) is a technology to automate the structured business processes. With the help of this technology, a user can automate such processes which are repetitive in nature i.e. to extract the invoice number and amount from PDF file, Operational activities in sales, Data extraction etc.

RPA is one of the fastest growing technology and adopted by most of the organization to automate various processes.

Course Objectives:

Able to create automated projects using UI Path.
Able to create the workflow using diagram and flowchart.
Able to develop the automated process for different domain.

Pre-requisites:

Computer Concept.
Understanding of Programming Language fundamentals.

Workshop Schedule:

Day 1
Introduction	Introduction to RPA, Application areas, Benefits and use cases.
Introduction to UIPath	Introduction to UI Path, Discussion about user interface, Design of basic workflows and type of workflows.
Sequences	Flowchart and sequences.
Managing Variables	Discussion about various kind of variables i.e. integer, generic, string and many
Control Flow	Different kind of activities i.e. assign, Do-while, if, switch etc.
Recording	UI Path supports different types of recording i.e. desktop, and web. In this session we will perform the exercise for recording using UI Path.
Day 2
Data Scraping & Excel automation	In this session, there will be a discussion about data scraping using UI Path and Excel Automation.
Email and PDF automation	In this session, there will be discussion about Email and PDF automation.
Demonstration and Exam	Demonstration of the automated process Case studies in RPA Online Exam

Hardware and software:

Latest laptop having RAM more than 4 GB
UI Studio (https://www.uipath.com/developers/community-edition)

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)

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 Blockchain, so the participant can utilize the gained knowledge for the development of various applications.

Workshop Schedule:

Day 1
Introduction to Blockchain & Cryptocurrencies	Blockchain Architecture Cryptographic Hash Digital Signatures Symmetric and Asymmetric cryptosystems Cryptocurrencies Bitcoin Transactions
Blockchain Mining	Miners Consensus Protocols Peer-to-Peer Networks Distributed Ledger Technology
Types of Blockchain	Public Blockchain Private Blockchain Hybrid Blockchain
Blockchain Platforms	Ethereum Hyper Ledger
Hands-on Session Ethereum Metamask	Installing MetaMask Creating Ethereum wallets Performing Ethereum transactions on different test networks
Smart Contracts and Solidity Programming	Smart Contracts Advantages of smart contracts Introduction to Solidity Programming Language. Key concepts in solidity. Solidity value types Solidity arrays, structures and functions. Inheritance in Solidity Access Modifiers and Special Blockchain variables Mapping in solidity Control structures and looping in solidity.
Hands-on Session	Setup Ethereum development tools like Geth, Mist and Remix IDE to run Smart Contracts. Creating wallet transactions on Mist and Remix. Creating and deploying various smart contracts on private Ethereum Blockchain network
Day 2
Hands-on Session	Developing smart contracts for E-Voting Design and Developing smart contracts for KYC Introduction to Ganache blockchain Developing Blockchain based projects using Ganache
Hands-on Session	Complete Blockchain Developer Toolkit Truffle suite for compiling and migrating the chain code How to build a Blockchain App
Hands-on Session	Building the Blockchain based decentralised applications (Dapps). Creating Decentralised Applications for E-Voting, Know Your Customer (KYC) DApp for digital marketplace using cryptocurrency
Bitcoin and other cryptocurrencies	Bitcoin Scripts Benefits and issues with the Bitcoin Cryptocurrencies other than Bitcoin
Introduction to Authentication Protocols	Security requirements and attacks in the wireless environments Design of Secure authentication protocols Cryptanalysis of protocols and implementation AVISPA, ProVerif tools Public key infrastructure for Blockchain Performance Evaluation
Research Trends in Blockchain	Blockchain Use cases Blockchain in Healthcare Blockchain with Cyber Security Blockchain and IoT

Blockchain Modules:

OS preference & software to be installed:

Windows 10
System Type 64 bit
RAM: 4GB or above
Software to be installed: NodeJS
Blockchain developer tools will be installed and demonstrated during Hands-on session.

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

Python Programming:

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 Python Programming, so the participant can utilize the gained knowledge for the development of various applications.

Workshop Schedule:

Day 1: Python - An Introduction & Data Processing
Basics Python	Basic Tutorial: Introduction, Installation, Environment Setup, Basic Syntax, Variable Types, Basic Operators, Decision, Making, Loops, Numbers, Strings, Lists, Tuples, Dictionary, Date & Time, Functions, Modules, Files I/O, Exceptions.
Numpy	Introduction, Installation, Environment, Ndarray Object, Data Types, Array Attributes, Array from Existing Data, Array From Numerical Ranges, Indexing & Slicing, Broadcasting, Iterating Over Array, Array Manipulation, Binary Operators, String Functions, Arithmetic Operations.
Scipy	Introduction, Installation, File input/output, Special functions, Linear algebra operations, Fast Fourier transforms, Optimization and fit, Statistics and random numbers, Interpolation, Numerical integration, Signal processing, Image processing
Day 2:
Pandas	Introduction, Installation, Object Creation, Viewing Data, Selection (Getting, Selection by Label, Selection by Position, Boolean Indexing, Setting), Missing Data, Operations (Stats, Apply, Histogramming, String Methods), Merge (Concat, Join, Append), Grouping, Reshaping (Stack, Pivot Tables), Time Series, Categoricals, Plotting
Matplotlib	Introduction, Installation, Plotting with default settings, Instantiating defaults, Changing colors and line widths, Setting limits, Setting ticks, Setting tick labels, Moving spines, Adding a legend, Figures, Subplots, Axes, Ticks, Regular Plots, Scatter Plots, Bar Plots.
Images	Binarize Images, Blurring Images, Cropping Images, Detect Edges, Enhance Contrast Of Color Image, Enhance Contrast Of Greyscale Image, Harris Corner Detector, Installing OpenCV, Isolate Colors, Load Images, Remove Backgrounds, Save Images, Sharpen Images, Shi-Tomasi Corner Detector, Using Mean Color As A Feature.
Text	Bag of Words, Parse HTML, Remove Punctuation, Remove Stop Words, Replace Characters, Stemming Words, Strip Whitespace, Tag Parts Of Speech, Term Frequency Inverse Document Frequency
Scikit Learn	Introduction and Preparation: Data formats, preparation, and representation, Supervised learning: Training and test data, Estimators for classification, Estimators for regression analysis. Clustering, the scikit-learn estimator interface, Models: Cross-Validation, Model complexity and grid search for adjusting hyperparameters, Scikit-learn Pipelines, Performance metrics for classification, Linear Models, Support Vector Machines, Decision trees and random forests, and ensemble methods, feature selection
Keras	Basics: Introduction, logistic regression, multilayer perceptron, Deep Neural Networks. Deep Learning Models: Convolutional Neural Networks, Recurrent Neural Networks, Auto encoder Applications: Image Classification, Text Classification

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

Image & Video Processing:

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 Image & Video Processing, so the participant can utilize the gained knowledge for the development of various applications.

Workshop Schedule:

Day 1
Convolution Filters for smoothing and edge detection Hough Transform for line and circle detection
Texture based classification Optical Flow for motion detection in videos
Day 2
Face Detection and Recognition Human activity Recognition
Manifold learning for images
ANN and CNN for image classification

IoT & Drones DIY-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 them enough information on the basics of robotics, IoT and Drones. So that participants are able to build applications using Arduino and Raspberry Pi for solving the real life challenges.

Workshop Schedule:

Day 1
Introduction the Internet of Things and Drones Robotics and various sensors Hands on experiments on different development boards i.e. Arduino, Raspberry Pi, Interfacing with various sensors, actuators and motors
Day 2
Projects on Raspberry Pi Drone categories, components and applications Live Demonstration of commercial drones

Lab Platform:

For the experiment purpose we will use GCC compiler.

DevOps 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 them enough information on the DevOps lifecycle i.e. Development of project, Integration, Testing, Monitoring, Feedback, Deployment and operation, so that participants are able to build software applications by following the DevOps life cycle.

Workshop Schedule:

Day 1
DevOps Automation DevOps Tools Containerization using Docker CICD: Continuous Integration and Delivery CICD pipeline using Jenkins
Day 2
Test Automation using Selenium Appium Configuration Management Chef and Puppe

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

Augmented/Virtual Reality 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 Augmented/Virtual Reality, so the participant can utilize the gained knowledge for the development of various applications.

Workshop Schedule:

Day 1
Exploring the Unity User Interface, Using Game Objects and Assets Managing Projects and Assets, Preparing Assets for Implementation Assembling the Game Level, Lighting in Games Baking Lighting in Game Production Animating Game Objects in the Unity Editor Bringing Animations into the Game, Scripting in Game Development
Day 2
Implementing Navigation and Pathfinding Creating Particle Systems Adding Audio to Game Levels Building the Camera and Player Selection System Building and Deploying the Game AR/VR

Cyber Security 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 Cyber Security, so the participant can utilize the gained knowledge for the development of various applications.

Workshop Schedule:

Day 1
Threats, Vulnerabilities, and attacks Need of ARP, Man in the middle attack, counter measure against it Malware Threats, Virus, Worms, Trojan, Malware Analysis, Countermeasure Demonstrate 3-way handshake using WireShark
Day 2
Setting up a honeypot server using pen Test tools on Kali Linux Use various Nmap commands to activate the intrusion detection system on honeypot server Hands-on Network scanning & Vulnerability Analysis Hands-on System hijacking & SQL injection

Registration Fees

Institutional Workshop (Online/Offline)

Workshop Content

Robotic Process Automation Using UiPath

Robotic Process Automation Workshop:

Course Objectives:

Pre-requisites:

Workshop Schedule:

Hardware and software:

Cloud Computing

Cloud Computing :

Workshop Target:

Research Topics:

Workshop Schedule:

Lab Platform:

Blockchain

Workshop Target:

Workshop Schedule:

Blockchain Modules:

OS preference & software to be installed:

Deep Learning

Deep Learning:

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Python Programming

Python Programming:

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Workshop Schedule:

Advanced Deep Learning

Advanced Deep Learning:

Workshop Target:

Workshop Schedule:

Image and Video Processing

Image & Video Processing:

Workshop Target:

Workshop Schedule:

IoT, Robotics & Drones

IoT & Drones DIY-Workshop:

Workshop Target:

Workshop Schedule:

Lab Platform:

DevOps

DevOps Workshop:

Workshop Target:

Workshop Schedule:

Quantum Computing

Quantum Computing Workshop:

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Workshop Schedule:

Augmented/Virtual Reality

Augmented/Virtual Reality Workshop:

Workshop Target:

Workshop Schedule:

Cyber Security

Cyber Security Workshop:

Workshop Target:

Workshop Schedule: