About Us

Unique World Education lays a strong foundation of STEM and Robotics among young schoolers and professionals through its Robotics Division. At Unique Robotics Education we can experience, explore and experiment on Robotics and Related domains.

Contact Info

  • Hamsah A Building, Al Karama, Dubai
  • +971 56 525 6319
  • robotics@uniqueworldedu.com
  • Sat - Thu: 08.00 AM to 07.00 PM
    Fri: 10.30 AM to 07.00 PM


Certified Courses

Age 15+ Years

Learning Outcomes:
  • Understand the concepts of voltage, resistance and current
  • Ohm's law and its application
  • Types of connection and related flow of current
  • Study of electronics tools like multimeter & power supply
  • Use of switch and its various configurations
  • Understand capacitors, charging and discharging
  • Understand IR sensor and its applications
  • Working of a diode
  • Study of transistor acting as a switch and its classifications
  • Inverting circuit using Transistor
  • Modulation of sound using buzzer
Learning Outcomes:
  • Study of combinational circuit & puzzled game
  • Types of variable resistor and voltage divider circuit
  • Understand the functions of coil & relation of magnetic field with electronics
  • Understand motor control circuit with transistor & switch
  • Understand motor control with integrated circuits
  • Functional use of numeric display and control circuit
  • Understand LED pattern with basic 555 IC
  • Mathematical calculation for value of resistor and capacitor for time
  • Study of set & reset device using bistable mode
  • Study of wave pattern with differential time generation
Learning Outcomes:
  • Understanding text-based coding to program electronic circuits
  • Learn multiple component mapping and making them blink automatically with delay
  • Program numeric display with understanding of multiple line program
  • Learn about digital input to control LED
  • Use of libraries and functional definitions
  • Understand the concept of IR rays for detection of moving bodies
  • Learn calibration of intensity using input signals from manual control mode
  • Conditional and logical programming
Learning Outcomes:
  • Learn to control the light intensity
  • Mapping different values to produce tone
  • Understand the working of diplays to view the output
  • Use of sound frequency to detect obstacles
  • Study of temperature sensor
  • Understanding the orientation or inclination of an object to control the output
  • Speed and direction control of motor using integrated circuit
  • Control the position of motor using pulsed input method
Learning Outcomes:
  • Intro on Python, IDLE installation, print and input
  • Python syntax, variables, Python data types
  • Python numbers, castings and string
  • Python booleans and operators
  • Python list, tuples and sets
  • Python dictionaries, IF ELSE, while loop, FOR loop and statements
  • Python functions, Lambda functions, arrays, class and objects
  • Python inheritance, iterators and scope
  • Python modules, date and JSON
  • Python file operations like OPEN, READ, WRITE, DELETE and CREATE
Learning Outcomes:
  • NumPy Intro and overview on basics of Python
  • Getting Started with NumPy, creating NumPy arrays and NumPy array indexing
  • NumPy array slicing, data types and copy vs view
  • NumPy array shapes and array reshape
  • NumPy array iterating, array join and array split
  • NumPy array search, array sort and array filter
  • NumPy random, data distribution, random permutation, Seaborne module, normal distribution
  • Binominal distribution, Poisson distribution, Uniform distribution, Logistic distribution, Multinomial distribution and Exponential distribution
  • Chi-Square distribution, Rayleigh distribution, Pareto distribution and Zipf distribution
  • Projects using NumPy and certification exam
Learning Outcomes:
  • Fundamentals of Python programming
  • File operations using Python
  • Working with data types of Python
  • Error and exception management in Python
  • Working with functions in Python
  • Probability distribution in Python
  • Python for Data Visualization
  • Python in Data Manipulation
  • Machine Learning concepts
Learning Outcomes:
  • Overview of Python programming
  • Probability distribution in Python
  • Python for Data Visualization and manipulation
  • Machine Learning concepts
  • Machine Learning types
  • Linear Regression implementation
  • Supervised Learning concepts
  • Implementing different types of Supervised Learning algorithms
  • Evaluating model output
  • Implementing Dimensionality Reduction technique
Learning Outcomes:
  • Strong foundation & understanding on working of Machine Learning systems
  • Learn different algorithms used in machine learning
  • Understand how to work with ML library
  • Work with ML framework Tensorflow
  • Work on different projects during the course like building your own Neural Network, image classification and handwritten digit recognition

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