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Topics
Two Days Workshop Content
Day 1 -(Session 1)/ 6-8 Hours
Section A : What is Data and Data Science?- AI vs ML vs DL vs Data Science
- Data Science Scope, Applications
- Data Science Introduction
- Predictive v/s Descriptive Data Analysis
- Data Science v/s Data Analytics
- Regression & Classification Problems
- What makes a Data Science Expert?
- The art of making stories from Data
- Use Cases and Case Studies
- Critical success drivers
- Why Python for data science?
- Overview of Python- Starting with Python
- Introduction to installation of Python
- Understand Jupyter notebook & Customize Settings
- Installing & loading Packages & Name Spaces
- Variable & Value Labels – Date & Time Values
- Basic Operations - Mathematical - string – date
- Debugging & Code profiling
- Data Exploration
- Visualization
- Feature Engineering
- Tools :R/Python
- Introduction exploratory data analysis
- Descriptive statistics, Frequency Tables and summarization
- Univariate Analysis
- Bivariate Analysis
- Creating Graphs- Bar/pie/line chart/histogram/ boxplot/ scatter/ density etc
Day 2 -(Session 2)/ 6-8 Hours
Section A : Data Preparation- Need of Data preparation
- Consolidation/Aggregation - Outlier treatment
- Variable Reduction Techniques - Factor & PCA Analysis
- What is segmentation & Role of ML in Segmentation?
- Concept of Distance and related math background
- K-Means Clustering
- Expectation Maximization
- Spectral Clustering
- Principle component Analysis
- Decision Trees - Introduction – Applications
- Types of Decision Tree Algorithms
- Construction of Decision Trees through Simplified Examples
- Generalizing Decision Trees
- Pruning a Decision Tree; Cost as a consideration; Unwrapping Trees as Rules
- Decision Trees – Validation
- Taming big text, Unstructured vs. Semi-structured Data
- Finding patterns in text: text mining, text as a graph
- Natural Language processing (NLP)
- Text Analytics – Sentiment Analysis using Python
- Text Analytics – Word cloud analysis using Python
Day 1 -(Session 1)/ 6-8 Hours
Section A : Introduction to Machine Learning- Introduction to ML
- Applications of Machine Learning
- Supervised vs Unsupervised Learning
- Python libraries suitable for Machine Learning
- Role of Python and R programming in this domain
- Basic of python and why python for machine learning
- Extracting data from a file
- Function and module
- Creating own modules / library
- Managing array with numpy
- Multidimensional array with numpy
- Unit matrix handling & creating
- Linear Regression
- Non-linear Regression
- Model evaluation methods
Day 2 -(Session 2)/ 6-8 Hours
Section A : Introduction to iris Datasets- Understanding iris datasets
- Separating data with numpy
- Training classifier
- Algo data process view
- Decision Tree understanding
- K-Means Clustering
- Hierarchical Clustering
- Density-Based Clustering
- Online/offline SMART Chatting Machine .
- Face and expression recognition
Day 1 -(Session 1)/ 6-8 Hours
Section A : Introduction to Cloud Computing- What is the cloud?
- History of Cloud Computing
- How Cloud Computing Works
- Advantages & Disadvantages
- Applications for Businesses
- Cloud Service Providers
- Storage Virtualization
- Application virtualization
- Server virtualization
- Network virtualization
- Creating an account on the cloud
- Starting a server instance
- Allocating storage and other resources
- Deploying an application
- Cloud Architectures
- Building Enterprise Cloud Computing Environment using a Network of Compute
Day 2 -(Session 2)/ 6-8 Hours
Section A : Cloud Computing Service Models- Infrastructure as a Service (IAAS)
- Platform as a Service (PAAS)
- Software as a Service (SAAS)
- Public Cloud
- Private Cloud
- Community Cloud
- Hybrid Cloud
- Routing to the Data Center
- Switching within the Data Center
- Amazon
- Microsoft
- Salesforce.com
- Administering the Cloud
- Application Case Studies in Engineering, Image Processing, and Media Rendering
- Platform for building Clouds and their Innovative Application
- Cloud Computing Platforms
Day 1 -(Session 1)/ 6-8 Hours
Section A : Introduction to Big data- What is Big data?
- Black Box Data
- Social Media Data
- Stock Exchange Data
- Power Grid Data
- Transport Data
- Search Engine Data
- Benefits of Big data
- Operational Big data
- Analytical Big data
- What is Hadoop
- Why is Hadoop
- Difference between Hadoop and Traditional Approach
- Hadoop Architecture
- Hadoop Common
- Hadoop yarn
- HDFS
- Hadoop Map Reduce
- What is Hbase
- Basic of Hbase
- Need of Hbase
- Purpose of Hbase
Day 2 -(Session 2)/ 6-8 Hours
Section A : Model of Hbase- Hbase Data Model
- Hbase Read and Write
- RDBMS and Hbase
- Hbase Commands and example
- What is Data Analytics
- Types of Data Analytic
- Descriptive Analytics
- Diagnostic Analytics
- Predictive Analytics
- Prescriptive Analytics
- Data Analytics Benefits Decision-Making
- Data Analytics Benefits: Cost Reduction0
- Data Analytics Benefits: Amazon Example
- Data Analytics: Other Benefit
- Key Takeaway
- Terminologies in Data Analytics
- Types of Data
- Qualitative and Quantitative Data
- Data Levels of Measurement
- Normal Distribution of Data
- Statistical Parameters
- Bitmap Based Encrypted Query Processing and Distributed Index Structure for Outsourcing Mobile Sensitive Data
- Survey Large Scale Data Analytics Performance Using Disk Based and In-Memory Database Systems
Day 1 -(Session 1)/ 6-8 Hours
Section A : Introduction of Block Chain- Understanding Block Chain
- Block chain Concepts
- Block chain Features
- Public VS private Block chain
- Security of Block Chain
- Block Chain Use Cases
- Crypto Currency
- Basics of Cryptography
- Smart Contract
- Laws for cryptocurrency
- Data Layer
- Network Layer
- Consensus Layer
- Securing the Supply Chain System
- Industry – Logistics
Day 2 -(Session 2)/ 6-8 Hours
Section A : Development of Block Chain- Block chain Developing Client
- Block chain Client Class
- Block chain Transaction Class Creating Multiple Transactions
- Block chain Block Class Creating Genesis Block Creating Block chain
- Block chain Adding Genesis Block Creating Miners
- Block chain Adding Blocks
- Understand Economics of Bitcoin Define Bitcoin Mining
- Describe Fabrication of a Block Header
- Mining and consensus
- Autonomous verification of mining
- Independent verification of mining
- Auctioning of Rare Artifacts
Day 1 -(Session 1)/ 6-8 Hours
Section A : Introduction to Game Development- Physics involved in Game Development
- Introduction to Unity
- JavaScript for Unity
- Controlling Characters
- Developing a game using the above tools
- Live demonstration and examples
- 3D modelling
- Animating the game character
- Creating an environment for their game character
- Scripting of the game character and the various objects in the Game
- Creating a Finite State Machine
- Code Optimization
- Debugging
- Core gameplay
- Editor setup
- Single sprite configuration w/ colliders, Sprite sheet animations
- Animator, Keyframed animations, Scripted animations
- Player character
- Win and lose settings
- Collectibles
- Publishing
- And new Unity Editor capabilities and features like:
- New Sprite Editor tools
- Tilemap system
- Cinemachine
- Sprite masking system
Day 2 -(Session 2)/ 6-8 Hours
Section A : Development of 3D Game- Core gameplay
- Character model, Character setup
- Animation, Animator setup
- Platform system
- Lose settings
- Collectibles
- Publishing
- And new Unity Editor capabilities and features like:
- Cinemachine camera
- Distinguish features that enable mobile deployment versus other platforms
- Navigate in the Unity Editor to create a simple mobile game
- Use the Unity 2D toolset to set up characters and scenes
- Create in-editor animations to generate animations for scene elements and the character
- Build 2D game mechanics that enable mobile gameplay
- Plan for using services to improve long term game play and build mobile monetization and business strategies
- Prepare for mobile deployment
Day 1 -(Session 1)/ 6-8 Hours
Section A : Intro to Image Processing- What is an image?
- What is Image Data
- Image Processing Toolbox
- Importing Image
- How to build a matrix image
- Image Display
- Image Operations
- Image Conversion
- 3 steps of IP
- Image as a matrix
- Phrases of IP
- Types
- Application
- Python Installation
- Intro to OpenCv and python
- Array and slicing
- Load an Image and read conversion
- Resizing
- Flip
- Display in windows
- Draw using mouse
- Draw rectangle
- Color mapping
Day 2 -(Session 1)/ 6-8 Hours
Section A : Image Arithmetic- Adding Images
- Subtracting Images
- Multiplying Images
- Dividing Images
- Spatial Transformation
- Resizing Images
- Rotating Images
- Cropping Images
- Connect webcam
- BW and color
- Save video
- Load video
- Human speed playing video
- Draw rectangle on video
- Draw rectangle on live camera
- Template matching
- Face detection
Day 1 -(Session 1)/ 6-8 Hours
Section A : Introduction to Android- Introduction to Android
- History of Android
- Android SDK
- Android Studio
- Introduction to Basic of java Programming
- Feature of Java
- Oops Concepts
- Java Data type
- Java Control Statement
- Arrays
- Build First App
- App Fundamentals
- App Resources
- App Manifest File
- App Permissions
- Activities
- Activity Lifecycle
- Intents and intent filters
- User Interface
- Layouts
- Widgets
- Content Providers
- Web View
- Internet Connectivity
- JSON and JSON parsing
- Image and Media
Day 2 -(Session 2)/ 6-8 Hours
Section A : Advanced Topics of Android- Google MAPs SDK
- Mobile Number OTP verification
- Social Site integration – Facebook , Google etc.
- Testing and Debugging
- Firebase Authentication
- Android Food order and delivery app
- Android College Attendance System
- Library Management System with SMS Autoreply
Day 1 -(Session 1)/ 6-8 Hours
Section A : Introduction to IoT & Raspberry_Pi- What is IoT
- Historical Background, Features, Applications & Scope of Raspberry_Pi
- Raspberry_Pi & its Various OS
- Introduction to Raspbian
- Features of Command Window & Script Window
- Basic Python Commands & Keyboard Shortcuts
- Defining Editing and Clearing Variables & Checking for Existence
- My First Python Progra
- Introduction to Arrays
- Python Data Types and Basic I/O operations
- Various Python Functions & their use
- Creating & running User defined Functions
- ATM Machine Prototype
- Raspbian – A Debian Derivative
- The Concept of Open Source
- Disk Fragmentation
- Installing & Starting Raspberry_Pi
- Understanding the Raspberry_Pi Desktop Layout
- Command Window (Terminal), Editor Window, Workspace, Command
- History, Graphic Window
- Accessing GPIO Pins
- Glowing multiple different pattern LED
- Wide description about Software and Hardware Concerns of AI
- Machine Learning and data interpretation
- Introduction to Data Science
- Memory Elements and Data Acquisition/Calling
- Programming Languages used in AI
Day 2 -(Session 2)/ 6-8 Hours
Section A : Ultrasonic Sensor- Concept, Capabilities & limitations.
- Applications
- Practical: Interfacing Ultrasonic Sensor with Pi
- Definition, Working Methodology,
- Types, Advantages & Application Areas
- Switching/Controlling of DC Relay using Pi
- Practical: Interfacing Relay with AVR
- What is cloud?
- What are the features & scope of using IOT over cloud?
- Data connectivity of IoT devices with open cloud.
- Development of various applications in IoT.
- What is API
- How to use API with Python
- Controlling Raspberry_Pi with API
- Practical: Smart parking system using IoTWhat is cloud?
- What are the features & scope of using IOT over cloud?
- Data connectivity of IoT devices with open cloud.
- Development of various applications in IoT.
- Distance measurement of an object using ultrasonic sensor
- Seminar/Conference Hall Automation
- IoT device for accident detection
- IoT Controlling through Smart Phone over Wifi
- Worldwide Accessing and controlling of IoT automation over Internet
Day 1 -(Session 1)/ 6-8 Hours
Section A : Artificial Intelligence- Introduction of Artificial Intelligence
- What is AI
- History
- Use Cases
- Future Aspects of AI
- Applications of Machine Learning
- Environment Setup
- Setting up Software Installation
- Installing Libraries
- Basic of python
- Oops Concept
- Modules in Python
- How API works in AI
- Types of API in AI
- Supervised Learning Introduction & Examples
- Unsupervised Learning Introduction & Examples
- Linear Regression & implementation
- Introduction to Gradient Descent Algorithm
- Linear Algebra review
Day 2 -(Session 2)/ 6-8 Hours
Section A : Neural Network in Artificial Intelligence- Introduction to Neuron
- Introduction to Network Architecture
- Designing Neural Network Model
- Model Representation Methods
- Single Layer Neural Network
- Multilayer Neural Network Architecture
- Training the Network
- Backward Propagation Training
- Importing & Exporting Network
- Importing & Exporting Training Data
- Introduction to Dynamic Neural Network
- Neural Network Blocks in Simulin
- Basic uses of NLP in AI
- Lexical Analysis
- Syntactic Analysis
- Semantic Analysis
- Pragmatic Analysis
- Case Study-Cancer Detection
- Case Study- Case Study: Character Recognition
Day 1 -(Session 1)/ 6-8 Hours
Section A : Introduction to Python- What is Python?
- What is future Scope?
- Application Areas, Features, Advantages
- Understanding the Command Window and Script Window
- Environment Setup
- IDLE for Compiling & Running program
- Basic Data Types and Assignments
- Identifiers and Indentation
- Data Operations
- Sequence Types, Tuples , Lists
- Operators and Expressions
- Dictionary and Sets
- Variable Scope – Global, local and Non Local
- Single Loop Statement
- Loops
- Loop Control Statements
- Iterator and Generator
- Defining a Function and Syntax
- Calling a Function
Day 2 -(Session 2)/ 6-8 Hours
Section A : Emailing through Server- Configuring Pi for SMTP protocol
- Connecting Pi to the internet
- Allowing security to the email account
- Sending mail to the recipient
- Making your own Atm System
- Accessing data stored MsExcel
Day 1 -(Session 1)/ 6 Hours
Section A :Introduction Cyber Security- Introduction to Ethical Hacking
- Information Gathering
- Attacks
- Networking and Basics
- Scanning
- Computer Forensics-an Introductio
- Own Viruses
- Road sign hacking and Identify Theft
- Google Hacking & Countermeasures
- Stenography
- SMS Forging
- Call Forging
Day 2 -(Session 2)/ 6 Hours
Section A- Cryptography
- Web Hacking and Counter Measures
- Firewalls-An Introduction
- Facebook Messenger Hacking
- Password Cracking
- Email Hacking
- Whatsapp Hacking
- LAN Hacking
- Backtrack OS
- Sniffing
- Linux Hacking
- D-Dos Attack
- Trojans
- DNS-Poisoning
- Social Networking Sites Protection
- WIFI Hacking
- SQL Injection
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