Learn About Unique World Robotics

Course details

Foundation Course

The Internet of Things or IoT is a system of interrelated computing devices, mechanical and digital machines, objects, animals or people that are provided with unique identifiers (UIDS)and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction.

Introduction to the internet of things

Learning about what the internet of things really means Understanding the four main concepts of it. Understanding what are IOT enablers and their characteristics. Understanding application domains and modern applications of iot

IOT Development Boards

Learning about different IOT development boards and their characteristics

 Nodemcu(ESP8266)

Learn about ESP8266 Different types of Deep sleep modes and how to use them. Learning onboard components on the nodemcu(ESP8266) development board

ESP8266 on Arduino IDE

Installing Esp8266 Board on Arduino IDE. Understanding Basic Arduino Code. Coding ESP8266 DHT11 Web Server. Learning the basic principle of Relay and working with esp8266.

Basic Electronics

Learning Basic electronics such as how to use the Digital Multimeters. What is voltage, current and many more. Creating and coding ESP8266 Weather Station(Project 1)

IOT Communication Protocols

Learn about different iot communication protocols such as BLE, WIFI, LORA, and many others Work with I2C LCD Display. ESP WiFiManager.

IOT Cloud Platforms and Introduction to Node-red

Learn about different iot cloud platforms Introduction to Node-red Sending weather station data to things board and creating a dashboard (Project 2) Sending weather station data to Node-red and creating a dashboard (Project 3)

Advance Temperature monitoring Project (Project 4)

Adding an LCD and Alert system to our already made weather station project

ESP8266 Multisensor Shield with Node-red (Project 5).

RFID Door Security System using Node-red (Project 6).                                                

Course details

Artificial Intelligence (AI) is transforming the world and is becoming a revolution in this information age. The world now seeks intelligent interactive, real-world applications capable of making generic decisions over explicit programming. Through this course, students learn the concepts of AI and implement their techniques to solve real-world problems. FSEai opts for a top-down approach on learning AI, where the students-built applications before diving deep into the core mathematical concepts. Our trainers are international speakers and authors, worked with various prominent companies and are state-of-the-art educators. Also, Mr. Sherin Thomas is our lead educator and visionary of FSEai who is a major contributor to the deep learning community. This is a foundation course of FSEai for understanding the basic concepts of machine learning and deep learning, through live demonstrations of developing solutions to real-world problems

 Introduction to AI Theory & Python Programming

Introduction to Artificial Intelligence: Concepts, Terminology, Domains & Applications Setting up the environment with Anaconda and Jupyter notebook, Google Collab Getting started with Python coding Beginners guide to Git and Terminal Usage

 Machine Learning Regression

Types of Machine Learning: Concepts & Applications Predicting Boston House Prices with Linear Regression using NumPy Graphical visualization using Matplotlib & Seaborn

 Machine Learning Classification

Logistic Regression with Pandas Loss Function & Optimization Support Vector Machines (SVM)

Deep Learning Concepts

Machine Learning vs Deep Learning Introduction to Neural Networks Make your Fizz Buzz game using neural networks and NumPy Backpropagation concepts PyTorch: Tensors, AutoGrad & use a case in optimization Fizz Buzz game using neural networks and tensors

 Domain-based Application (Any application based on duration)

Real-time face recognition application Object detection application Automatic In-Out register for Parking lot using number plate recognition Document Scanner application Calculation of size of objects from images Gesture recognition application Sentiment Analysis using NLP

Course details

A comprehensive robotics program is offered to help students get into this challenging industry and get them acquainted with the latest concepts and knowledge of Robotics. 

Key Learning and Outcomes :

1. Beginner Level :

• The basic concept of electronics, execution with breadboard, transistors, and amplifiers
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• wireless connections. coding every component.
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• Microcontroller based projects and concepts, applications of microcontrollers.
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• Advance assembly and coding with various sensors like color and ultrasonic sensors
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• 3D modeling and Printing
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• Industrial automation, robotic arms, manipulator.

2. Intermediate Level :

• Advance microcontroller based projects, wireless modu@ coding.
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• Raspberry Pi and introduction to IoT
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• 3D modeling and printing.

3. Project-Based Level :

Based on what they learned will be making 3 completely hands-on projects.

Course details

A comprehensive robotics program is offered to help students get into this challenging industry and get them acquainted with the latest concepts and knowledge of Robotics. 

Key Learning and Outcomes :

1. Beginner Level 

• Introduction to Robotics, solution of robots, applications of robotics
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• The basic concept of electronics, wireless modules, hands-on experiments
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• Mobile robots, assembling with different mechanics, making the robot more with chiding
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• Arduino Introduction, Ardublock coding
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• Assembly and coding with sensors
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• Working of 3d Printers, Various 3D Models

2. Intermediate Level 

• Building Advanced Circuits and programming it blocky programming 

• Mechanical bot construction and coding with different Sensors

• Android app development using block programming

• More in Electronic Circuits, Sensors, motors, and more hand-on projects.

3. Project-Based Level 

Based on what all they learned they will be making 2 completely hands-on projects.

Course details

A comprehensive robotics program is offered to help students get into this challenging industry and get them acquainted with the latest concepts and knowledge of Robotics. 

Key Learning and Outcomes :

Beginner Level 

• Introduction to Robotics, the evolution of robots. applications of robotics
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• Basic concepts of electronics, electronic components, hands-on experiments
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• Blockly program, making games using coding
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• Mobile robot, assembling with different mechanics
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• Drones, classification, small AI bot
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• 2D and 3D concepts with hands-on.

2. Intermediate Level :

• Mechanical construction: Assembly and model construction
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• Coding it to move 
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• Advance game making using coding, sensing, controlling with keypads
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• More in electronic circuits, sensors. motors and more hands-on projects

3. Project-Based Learning :

• Hands-on Project on 2 levels.