Online Certification Courses (Computer Science)

Information for giving

Course Title: Adobe Photoshop

Duration (in Weeks): 8-10 weeks

Outline of the Course:

  1. Navigating to Photoshop
  2. Introduction to Photoshop Layers
  3. Organizing and Managing your files with Adobe Photoshop
  4. Making Selective Changes in Photoshop
  5. Painting and Retouching
  6. Color Correcting an Image
  7. Using Content – Aware Tools in Photoshop
  8. Animating GIF images for the Web
Course Title: Artificial Intelligence
Duration (in Weeks): 16-18 weeks

Outline of the Course:

  1. An Introduction to Artificial Intelligence.
  2. Artificial Intelligence Applications.
  3. Supervised and Unsupervised learning.
  4. Reinforcement Learning.
  5. Neural Networks and Deep Learning
  6. Natural Language Processing.
  7. Computer Vision Essentials.
  8. The Future of Artificial Intelligence.
Course Title: Big Data Analytics
Duration (in Weeks): 10-12 weeks

Outline of the Course:

  1. Overview of Big Data
  2. Technologies for Handling Big Data
  3. Understanding Hadoop Ecosystem
  4. Dig Deep to understand the fundamental of MapReduce and HBase
  5. Learn to Process Data using Map Reduce
  6. Exploring Hive
  7. Exploring Pig
  8. Exploring Oozie
  9. Learn NoSQL Data Management
  10. Databases and Data Warehouses
  11. Predictive Analytics
Course Title: Core Java
Duration (in Weeks): 8-10 weeks

Outline of the Course:

  1. Introduction to Java
  2. Introduction to OOPs with Java
  3. String Handling
  4. Exception Handling
  5. Nested Classes
  6. Multithreading
  7. Synchronization
  8. Input and Output
  9. Serialization
  10. Networking
  11. AWT & Swings Package
  12. Layout Manager
  13. Applets
  14. Reflection API
Course Title: Internet of Things (IoT)
Duration (in Weeks): 10-12 weeks

Outline of the Course:

  1. Introduction to IOT
  2. STM 32xx GPIO and Peripherals
  3. Overview of Embedded OS
  4. IOT Architecture
  5. Sensor and Actuators
  6. Connecting Sensors to the Cloud
  7. Protocols
  8. Programming for Embedded Systems
  9. Connectivity, Identification and Localization for IOT
  10. IOT Cloud Platform
  11. Case Study
Course Title: Machine Learning
Duration (in Weeks): 8-10 Weeks

Outline of the Course:

  1. Introduction of Python and its libraries
  2. Data frames with Pandas
  3. Working on Filtering and adding columns
  4. Sorting and Grouping the data
  5. Loops and functions
  6. Working on apply method
  7. Numpy and Data visualization
  8. Basics of Statistics
  9. Descriptive Statistics
  10. Measures of Central Tendency
  11. Measures of Dispersion
  12. Understanding Distributions & Histograms
  13. Box Plots
  14. Pair Plots
  15. Supervised and Unsupervised Learning Models
  16. Introduction to Reinforcement Learning
  17. Case Study
Course Title: PC Hardware & Networking
Duration (in Weeks): 8-10 Weeks

Outline of the Course:

  1. Introduction to PC Hardware
  2. Hardware Installation and Configuration
  3. PC debugging, troubleshooting & Maintenance
  4. Software Installation and Configuration
  5. Networking Basic and Configuration
Course Title: Python Programming
Duration (in Weeks): 10-12 weeks

Outline of the Course:

  1. Introduction to Python
  2. Installation and Setup
  3. Types, Expressions and Variables
  4. Flow Control in python
  5. Lists and Tuples
  6. Loops and functions
  7. Dictionaries and Sets
  8. Input and Output in Python
  9. Modules and Functions
  10. Object Oriented Programming
  11. Errors and Exceptions
Course Title: Introduction to Robotics
Duration (in Weeks): 10-12 weeks

Outline of the Course:

  1. Fundamentals of Robotics
  2. Components of a Robot
  3. Manipulators and End-of Tooling
  4. Robot Programming
  5. Robotic Applications
  6. Case Study

Course Title: Applications of Remote Sensing, GIS and Spatial Modeling in Land Resource Mapping and Management

Duration (in Weeks): 4 weeks

Outline of the Course:

  1. Role of Remote Sensing and GIS Technologies in Precision Agriculture
  2. Analysis and budgeting of land resources for crop production
  3. Comprehensive Decision Support System (DSS) and its application.
  4. Application of land resources inventorisation (LRI) for crop planning.
  5. Crop production modeling and forecasting
  6. Remote sensing and conservation agriculture
  7. Remote sensing – watershed planning and management
  8. Institutional support for crop planning with GIS
Course Title: Web Designing
Duration (in Weeks): 8-10 weeks

Outline of the Course:

  1. Introduction to Internet & Web
  2. HTML
  3. CSS
  4. JavaScript
  5. HTML5
  6. CSS3
  7. Project on Web Designing
  8. Built Portfolio using Google Sites
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