IOT WITH AI & ML

Categories: Web Development

About Course

Introduction to Arm® Mbed™ and IoT?

This Section describes Arm® Mbed™ a platform designed to simplify and accelerate the development of IoT (Internet of Things) devices. It is a operating system and a software platform that integrates Internet protocols, security, and standards-based manageability into one solution, optimized for energy and cost-constrained devices

Arm® Mbed™ Development .

This section describes about Mbed Software development in detail with detailed seven lectures..

The IoT Starter Kit and IoT Projects .

This section describes about in detail Real Time projects such as LCD, Joystick, Potentiometer, Speaker and Three Axis Accelerometer with which the learner can have hands on expertise in the above Real Time Devices handling so that they can use in any IoT projects. This Section will have two Lectures

Edge AI ?
This section describes about detailed Edge AI that describes how Edge AI works in Real world, what kind of Hardware will be used and also Algorithms, Tools

E Data Set
This section describes about detailed Data Set that describes how Edge AI works with Data Set and how to build Data Set what kind of Applications developed with Edge AI Data Set

R Real Time Project
This section describes about Real Life Project with Hands on Expertise

Understand the fundamentals of healthy dieting (calories, protein, carbs, fat, vitamins & minerals)
Create a diet that is perfect for your needs and lifestyle
Learn when, what and how much you should eat for optimal body composition
Build more muscle by optimizing your meal plan
Lose fat faster by optimizing your meal plan
Improve immunity and energy levels with the right vitamins and minerals

Topics of Course

Introduction to Arm® Mbed™ and IoT

Introduction to Arm® Mbed™
What is an Embedded System?
Microcontrollers and Microprocessors
ARM® Processor Architecture
The Arm® Mbed™ Systems
NXP LPC1768
NXP LPC11U24
BBC Micro:bit
The Arm® Mbed™ Ethernet Internet of Things (IoT)
Starter Kit

07:00
Introduction to the Internet of Things (IoT)
What is the Internet of Things (IoT)?
How Does IoT Work?
How Will IoT Change Our Lives?
Potential IoT Applications
Capstone Project-Home Applications
Capstone Project- Healthcare Applications
Capstone Project- Transport Applications
Capstone Project- Energy Applications
Capstone Project- Manufacture Applications
Capstone Project- Environment Applications
IoT Enabling Technologies
Sensors and Actuators
Communications
RFID and NFC (Near‐Field Communication)
Bluetooth Low Energy (BLE)
LiFi
6LowPAN
ZigBee
Z‐Wave
LoRa
Protocols
Eclipse IoT (https://iot.eclipse.org/)
Google Cloud IoT
(https://cloud.google.com/solutions/iot/)

Arm® Mbed™ Development

Getting Started with Arm® Mbed™
Introduction
Hardware and Software Required
Your First Program: Blinky LED
Connect the Mbed to a PC
Click “mbed.htm” to Log In
Add the FRDM‐K64F Platform to Your Compiler
Import an Existing Program
Compile, Download, and Run Your Program
Create Your Own Program
C/C++ Programming Language
Functions and Modular Programming
Manage Platforms
Clone Your Program
Search and Replace
Compile Your Program for Multiple Platforms
Delete Your Program
Disaster Recovery Procedure
Upgrade Firmware
Inputs and Outputs
Digital Inputs and Outputs
Digital Inputs
Digital Outputs
BusIn, BusOut, and BusInOut
Analog Inputs and Outputs
Analog Inputs
Analog Outputs
Pulse Width Modulation (PWM)
Accelerometer and Magnetometer 88
SD Card
Local File System (LPC1768)
Interrupts
Digital Interfaces
Serial
SPI
I2C
CAN
Networking and Communications
Ethernet
Ethernet Web Client and Web Server
TCP Socket and UDP Socket
WebSocket
WiFi
Digital Signal Processing and Control
Low‐Pass Filter
High‐Pass Filter
Band‐Pass Filter
Band‐Stop Filter and Notch Filter
Fast Fourier Transform (FFT) 149
PID Controller
Debugging, Timer, Multithreading, and Real‐Time Programming
Debugging
Timer, Timeout, Ticker, and Time
Network Time Protocol (NTP)
Multithreading and Real‐Time Programming
Libraries and Programs
Import Libraries and Programs
Export Your Program
Write Your Own Library
Publish Your Library
Publish Your Program
Version Control
Collaborations
Update Your Library and Program

The IoT Starter Kit and IoT Projects

Arm® Mbed™ Ethernet IoT Starter Kit
128×32 LCD
Joystick
Two Potentiometers
Speaker
Three‐Axis Accelerometer
LM75B Temperature Sensor
RGB LED
IoT Projects with Arm® Mbed
Temperature Monitoring over the Internet
Smart Lighting
Voice‐Controlled Door Access
RFID Reader
Cloud Example with IBM Watson Bluemix 242
IBM QuickStart Service
IBM Registered Service (Bluemix)
Add IBM Watson IoT Service to Your Application
Add Your Mbed Device to Your Watson IoT
Organization
Adding Credentials onto Your Mbed Device
Link Your IBM IoT Watson Application to Your Mbed
Device
Sending Commands from Your IBM IoT Watson
Application to Your Mbed Board
More with Node-RED
Real-Time Signal Processing
Introduction to Edge A
Defining Key Terms
The Edge (and the Internet of Things)
Artificial Intelligence
Machine Learning
Edge AI
Embedded Machine Learning and Tiny Machine Learning
Digital Signal Processing
Why Do We Need Edge AI?

Edge AI

Introduction to Edge AI
Defining Key Terms
The Edge (and the Internet of Things)
Artificial Intelligence
Machine Learning
Edge AI
Embedded Machine Learning and Tiny Machine Learning
Digital Signal Processing
Why Do We Need Edge AI?
Edge AI in the Real World
Common Use Cases for Edge AI
Types of Applications
Building Applications Responsibly
The Hardware of Edge AI
Sensors, Signals, and Sources of Data
Processors for Edge AI
Edge AI Hardware Architecture
Microcontrollers and Digital Signal Processors
Algorithms for Edge AI
Feature Engineering
Artificial Intelligence Algorithms
Tools and Expertise
Building a Team for AI at the Edge
Tools of the Trade
Software Engineering

Data Set

Understanding and Framing Problems
The Edge AI Workflow
Do I Need Edge AI?
Determining Feasibility
How to Build a Dataset
What Does a Dataset Look Like?
Data, Ethics, and Responsible AI
Estimating Data Requirements
Getting Your Hands on Data
Storing and Retrieving Data
Ensuring Data Quality
Preparing Data
Building a Dataset over Time
Designing Edge AI Applications
Product and Experience Design
Architectural Design
Accounting for Choices in Design
Evaluating, Deploying, and Supporting Edge AI Applications
Evaluating Edge AI Systems
Deploying Edge AI Applications
Supporting Edge AI Applications
Real Time Projects
Wildlife Monitoring
Food Quality Assurance
Consumer Produc

IOT WITH AI & ML

IOT WITH AI & ML

About Course

What Will You Learn?

Topics of Course

Introduction to Arm® Mbed™ and IoT

Introduction to Arm® Mbed™
What is an Embedded System?
Microcontrollers and Microprocessors
ARM® Processor Architecture
The Arm® Mbed™ Systems
NXP LPC1768
NXP LPC11U24
BBC Micro:bit
The Arm® Mbed™ Ethernet Internet of Things (IoT)
Starter Kit

IoT Enabling Technologies
Sensors and Actuators
Communications
RFID and NFC (Near‐Field Communication)
Bluetooth Low Energy (BLE)
LiFi
6LowPAN
ZigBee
Z‐Wave
LoRa
Protocols
Eclipse IoT (https://iot.eclipse.org/)
Google Cloud IoT
(https://cloud.google.com/solutions/iot/)

Arm® Mbed™ Development

Inputs and Outputs
Digital Inputs and Outputs
Digital Inputs
Digital Outputs
BusIn, BusOut, and BusInOut
Analog Inputs and Outputs
Analog Inputs
Analog Outputs
Pulse Width Modulation (PWM)
Accelerometer and Magnetometer 88
SD Card
Local File System (LPC1768)
Interrupts

Digital Interfaces
Serial
SPI
I2C
CAN

Networking and Communications
Ethernet
Ethernet Web Client and Web Server
TCP Socket and UDP Socket
WebSocket
WiFi

Digital Signal Processing and Control
Low‐Pass Filter
High‐Pass Filter
Band‐Pass Filter
Band‐Stop Filter and Notch Filter
Fast Fourier Transform (FFT) 149
PID Controller

Debugging, Timer, Multithreading, and Real‐Time Programming
Debugging
Timer, Timeout, Ticker, and Time
Network Time Protocol (NTP)
Multithreading and Real‐Time Programming

Libraries and Programs
Import Libraries and Programs
Export Your Program
Write Your Own Library
Publish Your Library
Publish Your Program
Version Control
Collaborations
Update Your Library and Program

The IoT Starter Kit and IoT Projects

Arm® Mbed™ Ethernet IoT Starter Kit
128×32 LCD
Joystick
Two Potentiometers
Speaker
Three‐Axis Accelerometer
LM75B Temperature Sensor
RGB LED

Introduction to Edge A
Defining Key Terms
The Edge (and the Internet of Things)
Artificial Intelligence
Machine Learning
Edge AI
Embedded Machine Learning and Tiny Machine Learning
Digital Signal Processing
Why Do We Need Edge AI?

Edge AI

Introduction to Edge AI
Defining Key Terms
The Edge (and the Internet of Things)
Artificial Intelligence
Machine Learning
Edge AI
Embedded Machine Learning and Tiny Machine Learning
Digital Signal Processing
Why Do We Need Edge AI?

Edge AI in the Real World
Common Use Cases for Edge AI
Types of Applications
Building Applications Responsibly

The Hardware of Edge AI
Sensors, Signals, and Sources of Data
Processors for Edge AI
Edge AI Hardware Architecture
Microcontrollers and Digital Signal Processors

Algorithms for Edge AI
Feature Engineering
Artificial Intelligence Algorithms

Tools and Expertise
Building a Team for AI at the Edge
Tools of the Trade
Software Engineering

Data Set

Understanding and Framing Problems
The Edge AI Workflow
Do I Need Edge AI?
Determining Feasibility

How to Build a Dataset
What Does a Dataset Look Like?
Data, Ethics, and Responsible AI
Estimating Data Requirements
Getting Your Hands on Data
Storing and Retrieving Data
Ensuring Data Quality
Preparing Data
Building a Dataset over Time

Designing Edge AI Applications
Product and Experience Design
Architectural Design
Accounting for Choices in Design

Evaluating, Deploying, and Supporting Edge AI Applications
Evaluating Edge AI Systems
Deploying Edge AI Applications
Supporting Edge AI Applications

Real Time Projects
Wildlife Monitoring
Food Quality Assurance
Consumer Produc

Your Instructor

netaadmin

IOT WITH AI & ML

About Course

What Will You Learn?

Topics of Course

Introduction to Arm® Mbed™ and IoT

Introduction to Arm® Mbed™ What is an Embedded System? Microcontrollers and Microprocessors ARM® Processor Architecture The Arm® Mbed™ Systems NXP LPC1768 NXP LPC11U24 BBC Micro:bit The Arm® Mbed™ Ethernet Internet of Things (IoT)Starter Kit

IoT Enabling Technologies Sensors and Actuators Communications RFID and NFC (Near‐Field Communication) Bluetooth Low Energy (BLE) LiFi 6LowPAN ZigBee Z‐Wave LoRa Protocols Eclipse IoT (https://iot.eclipse.org/) Google Cloud IoT(https://cloud.google.com/solutions/iot/)

Arm® Mbed™ Development

Inputs and Outputs Digital Inputs and Outputs Digital Inputs Digital Outputs BusIn, BusOut, and BusInOut Analog Inputs and Outputs Analog Inputs Analog Outputs Pulse Width Modulation (PWM) Accelerometer and Magnetometer 88 SD Card Local File System (LPC1768) Interrupts

Digital Interfaces Serial SPI I2C CAN

Networking and Communications Ethernet Ethernet Web Client and Web Server TCP Socket and UDP Socket WebSocket WiFi

Digital Signal Processing and Control Low‐Pass Filter High‐Pass Filter Band‐Pass Filter Band‐Stop Filter and Notch Filter Fast Fourier Transform (FFT) 149 PID Controller

Debugging, Timer, Multithreading, and Real‐Time Programming Debugging Timer, Timeout, Ticker, and Time Network Time Protocol (NTP) Multithreading and Real‐Time Programming

Libraries and Programs Import Libraries and Programs Export Your Program Write Your Own Library Publish Your Library Publish Your Program Version Control Collaborations Update Your Library and Program

The IoT Starter Kit and IoT Projects

Arm® Mbed™ Ethernet IoT Starter Kit 128×32 LCD Joystick Two Potentiometers Speaker Three‐Axis Accelerometer LM75B Temperature Sensor RGB LED

Introduction to Edge A Defining Key Terms The Edge (and the Internet of Things) Artificial Intelligence Machine Learning Edge AI Embedded Machine Learning and Tiny Machine Learning Digital Signal Processing Why Do We Need Edge AI?

Edge AI

Introduction to Edge AI Defining Key Terms The Edge (and the Internet of Things) Artificial Intelligence Machine Learning Edge AI Embedded Machine Learning and Tiny Machine Learning Digital Signal Processing Why Do We Need Edge AI?

Edge AI in the Real World Common Use Cases for Edge AI Types of Applications Building Applications Responsibly

The Hardware of Edge AI Sensors, Signals, and Sources of Data Processors for Edge AI Edge AI Hardware Architecture Microcontrollers and Digital Signal Processors

Algorithms for Edge AI Feature EngineeringArtificial Intelligence Algorithms

Tools and Expertise Building a Team for AI at the EdgeTools of the Trade Software Engineering

Data Set

Understanding and Framing Problems The Edge AI WorkflowDo I Need Edge AI? Determining Feasibility

How to Build a Dataset What Does a Dataset Look Like?Data, Ethics, and Responsible AI Estimating Data Requirements Getting Your Hands on Data Storing and Retrieving Data Ensuring Data Quality Preparing Data Building a Dataset over Time

Designing Edge AI Applications Product and Experience Design Architectural Design Accounting for Choices in Design

Evaluating, Deploying, and Supporting Edge AI Applications Evaluating Edge AI Systems Deploying Edge AI Applications Supporting Edge AI Applications

Real Time Projects Wildlife Monitoring Food Quality Assurance Consumer Produc

Your Instructor

netaadmin

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Introduction to Arm® Mbed™
What is an Embedded System?
Microcontrollers and Microprocessors
ARM® Processor Architecture
The Arm® Mbed™ Systems
NXP LPC1768
NXP LPC11U24
BBC Micro:bit
The Arm® Mbed™ Ethernet Internet of Things (IoT)
Starter Kit

IoT Enabling Technologies
Sensors and Actuators
Communications
RFID and NFC (Near‐Field Communication)
Bluetooth Low Energy (BLE)
LiFi
6LowPAN
ZigBee
Z‐Wave
LoRa
Protocols
Eclipse IoT (https://iot.eclipse.org/)
Google Cloud IoT
(https://cloud.google.com/solutions/iot/)

Inputs and Outputs
Digital Inputs and Outputs
Digital Inputs
Digital Outputs
BusIn, BusOut, and BusInOut
Analog Inputs and Outputs
Analog Inputs
Analog Outputs
Pulse Width Modulation (PWM)
Accelerometer and Magnetometer 88
SD Card
Local File System (LPC1768)
Interrupts

Digital Interfaces
Serial
SPI
I2C
CAN

Networking and Communications
Ethernet
Ethernet Web Client and Web Server
TCP Socket and UDP Socket
WebSocket
WiFi

Digital Signal Processing and Control
Low‐Pass Filter
High‐Pass Filter
Band‐Pass Filter
Band‐Stop Filter and Notch Filter
Fast Fourier Transform (FFT) 149
PID Controller

Debugging, Timer, Multithreading, and Real‐Time Programming
Debugging
Timer, Timeout, Ticker, and Time
Network Time Protocol (NTP)
Multithreading and Real‐Time Programming

Libraries and Programs
Import Libraries and Programs
Export Your Program
Write Your Own Library
Publish Your Library
Publish Your Program
Version Control
Collaborations
Update Your Library and Program

Arm® Mbed™ Ethernet IoT Starter Kit
128×32 LCD
Joystick
Two Potentiometers
Speaker
Three‐Axis Accelerometer
LM75B Temperature Sensor
RGB LED

Introduction to Edge A
Defining Key Terms
The Edge (and the Internet of Things)
Artificial Intelligence
Machine Learning
Edge AI
Embedded Machine Learning and Tiny Machine Learning
Digital Signal Processing
Why Do We Need Edge AI?

Introduction to Edge AI
Defining Key Terms
The Edge (and the Internet of Things)
Artificial Intelligence
Machine Learning
Edge AI
Embedded Machine Learning and Tiny Machine Learning
Digital Signal Processing
Why Do We Need Edge AI?

Edge AI in the Real World
Common Use Cases for Edge AI
Types of Applications
Building Applications Responsibly

The Hardware of Edge AI
Sensors, Signals, and Sources of Data
Processors for Edge AI
Edge AI Hardware Architecture
Microcontrollers and Digital Signal Processors

Algorithms for Edge AI
Feature Engineering
Artificial Intelligence Algorithms

Tools and Expertise
Building a Team for AI at the Edge
Tools of the Trade
Software Engineering

Understanding and Framing Problems
The Edge AI Workflow
Do I Need Edge AI?
Determining Feasibility

How to Build a Dataset
What Does a Dataset Look Like?
Data, Ethics, and Responsible AI
Estimating Data Requirements
Getting Your Hands on Data
Storing and Retrieving Data
Ensuring Data Quality
Preparing Data
Building a Dataset over Time

Designing Edge AI Applications
Product and Experience Design
Architectural Design
Accounting for Choices in Design

Evaluating, Deploying, and Supporting Edge AI Applications
Evaluating Edge AI Systems
Deploying Edge AI Applications
Supporting Edge AI Applications

Real Time Projects
Wildlife Monitoring
Food Quality Assurance
Consumer Produc