Informações sobre o curso
4.6
437 classificações
150 avaliações
100% online

100% online

Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.
Nível intermediário

Nível intermediário

You should have software programming skills. Learners without programming skills will find the practical assignments challenging.

Horas para completar

Aprox. 30 horas para completar

Sugerido: 4 weeks of study, 2-4 hours/week...
Idiomas disponíveis

Inglês

Legendas: Inglês, Hindi, Alemão, Japonês

Habilidades que você terá

Node.JsInternet Of Things (IOT)Node-RedIBM Cloud
100% online

100% online

Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.
Nível intermediário

Nível intermediário

You should have software programming skills. Learners without programming skills will find the practical assignments challenging.

Horas para completar

Aprox. 30 horas para completar

Sugerido: 4 weeks of study, 2-4 hours/week...
Idiomas disponíveis

Inglês

Legendas: Inglês, Hindi, Alemão, Japonês

Programa - O que você aprenderá com este curso

Semana
1
Horas para completar
1 hora para concluir

Introduction to the course

Welcome to the course. This learning module introduces you to course and the instructors. The module outlines the content covered on the course and gives an introduction to the Internet of Things. It also discusses the requirements needed to complete the course including the hardware, software and details of prerequisite skills required to complete the programming assignments ...
Reading
5 vídeos (total de (Total 21 mín.) min), 3 leituras, 1 teste
Video5 videos
Course Prerequisites3min
Summary of the lessons4min
What practical work is in this course?2min
Overview of Internet of Things6min
Reading3 leituras
IBM Digital Badge10min
Learning module summary: About this course10min
Learning module summary: What is the Internet of Things?10min
Quiz1 exercício prático
IoT Quiz10min
Semana
2
Horas para completar
6 horas para concluir

Rapid application development in the cloud

An Internet of Things solution usually requires a back-end server to receive and process data coming from sensors. Cloud platforms allow new solutions to be created and deployed very rapidly without having to worry about how to host the application. This series of lessons introduces you to a cloud based Platform as a Service and an open source rapid application development environment called NodeRED....
Reading
16 vídeos (total de (Total 88 mín.) min), 11 leituras, 4 testes
Video16 videos
Overview of Cloud Computing3min
What is the IBM Cloud?3min
Create an IBM Cloud account5min
A tour of the IBM Cloud user interface8min
IBM Cloud Summary35s
Deploying Node-RED on the IBM Cloud7min
Introduction to NodeRED - 19min
Introduction to NodeRED - 25min
The NodeRED Function node part 16min
The NodeRED Function node part 26min
The NodeRED Function node part 35min
NodeRED Additional node part 16min
NodeRED Additional node part 26min
NodeRED Additional node part 36min
NodeRED Additional node part 46min
Reading11 leituras
Learning module summary: Introduction to the IBM Cloud10min
Deploy NodeRED to the IBM Cloud using a Starter Kit - step by step10min
Adding a new node - step by step10min
Learning module summary: Rapid application development for Internet of Things10min
Function node - step by step10min
Making packages available to the function node - step by step10min
Submitting your first assignment10min
Learning module summary: NodeRED function node10min
Template node sample flow10min
Controlling a node using input data10min
Learning module summary: Additional NodeRED nodes10min
Quiz1 exercício prático
Using the function node10min
Semana
3
Horas para completar
5 horas para concluir

Rapid application development on a Raspberry Pi

This unit looks at how to add a device to your solution. Creating an application on a Raspberry Pi and establishing secure, trusted communication between your cloud application and devices...
Reading
11 vídeos (total de (Total 62 mín.) min), 6 leituras, 3 testes
Video11 videos
Setting up a Raspberry Pi and Raspberry Pi Sense Hat8min
Extra resource – (for Windows) Install the Raspbian Jessie OS on an SD Card1min
NodeRED on Raspberry Pi part 15min
NodeRED on Raspberry Pi part 26min
Watson Internet of Things platform5min
Devices, Applications and Gateways part 16min
Devices, Applications and Gateways part 27min
Sending commands to a device4min
SenseHAT and SenseHAT simulator nodes in NodeRED3min
Additional assistance for the end-to-end assignment6min
Reading6 leituras
Setting up your Raspberry Pi - step by step10min
Learning module summary: Raspberry Pi and SenseHAT10min
QuickStart flow - step by step10min
Learning module summary: Rapid Application Development with NodeRED on a Raspberry Pi10min
Learning module summary: Introduction to the Watson Internet of Things Platform5min
Learning module summary: Controlling the device10min
Quiz1 exercício prático
Using the NodeRED flow editor with your own Watson IoT platform.10min
Semana
4
Horas para completar
5 horas para concluir

Lower level programming for the Internet of Things

Up to now the course has used the NodeRED rapid application development environment. This unit looks at how to program for the Internet of Things platform using more traditional programming environments...
Reading
7 vídeos (total de (Total 37 mín.) min), 8 leituras, 3 testes
Video7 videos
SenseHAT python API4min
MQTT5min
Deploying an application to Bluemix part 16min
Deploying an application to Bluemix part 26min
Deploying an application to Bluemix part 36min
Course summary2min
Reading8 leituras
Learning module summary: Watson IoT APIs10min
MQTT Exercise30min
You reached the end of this learning module. You are now able to:10min
Application development for Bluemix - basic server step by step10min
Application development for Bluemix - deploy to Bluemix step by step10min
Installing additional developer tools10min
Application development for Bluemix - accessing services step by step10min
Learning module summary: Deploying Applications to Bluemix10min
Quiz1 exercício prático
MQTT in Watson IoT Platform10min
4.6
150 avaliaçõesChevron Right
Benefício de carreira

14%

consegui um benefício significativo de carreira com este curso

Melhores avaliações

por AGNov 10th 2016

Very good course for developers looking for the basics of IoT development using the IoT Platform in Bluemix. Starter to intermediate skills in Javascript, Bluemix, Python and Linux are required.

por KKMay 12th 2017

This course is tough but it gives real good opportunity to gain the hands on experience of IOT platform and different modules. I recommend this course to any one who would like to learn IOT.

Instrutores

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Brian Innes

Developer Advocate
IBM Digital Business Group
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Yianna Papadakis Kantos

Curriculum Specialist, IoT User Education
IBM Watson IoT

Sobre IBM

IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and the world's most advanced servers and supercomputers. Utilizing its business consulting, technology and R&D expertise, IBM helps clients become "smarter" as the planet becomes more digitally interconnected. IBM invests more than $6 billion a year in R&D, just completing its 21st year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame....

Perguntas Frequentes – FAQ

  • Ao se inscrever para um Certificado, você terá acesso a todos os vídeos, testes e tarefas de programação (se aplicável). Tarefas avaliadas pelos colegas apenas podem ser enviadas e avaliadas após o início da sessão. Caso escolha explorar o curso sem adquiri-lo, talvez você não consiga acessar certas tarefas.

  • Quando você adquire o Certificado, ganha acesso a todo o material do curso, incluindo avaliações com nota atribuída. Após concluir o curso, seu Certificado eletrônico será adicionado à sua página de Participações e você poderá imprimi-lo ou adicioná-lo ao seu perfil no LinkedIn. Se quiser apenas ler e assistir o conteúdo do curso, você poderá frequentá-lo como ouvinte sem custo.

  • The programming assignments require you to have a Raspberry Pi device - any model of Raspberry Pi with a 40 pin header. The course also uses the SenseHAT extension board, whilst it is preferable to have a SenseHat there is a simulator provided if you can't get a SenseHAT.

    You will need internet connectivity to download software, connect to the platform, develop and deploy your IoT solution.

    Your Rasberry Pi will need the latest Rasbian Jessie OS. This OS will be on a Micro SD Card. The recommended size of the SD card is 8GB but 4GB will do. Note that the learner kit comes with a preconfigured SD card.

    In order to setup the Micro SD card, you will need a computer with either a windows, apple or Linux OS. Since most computer do not have a micro SD port, you will need a Micro SD adapter or USB Micro SD card adapter. Your computer will also be used when working on the platform.

    To work on your Raspberry Pi, you will need an HDMI monitor or TV to work as the display for the Raspberry Pi (DVI monitor will also work). To connect the monitor to the Raspberry Pi you will need an HDMI cable (or a DVI to HDMI cable).

    Your Raspberry Pi needs a way to connect to the internet; either an Ethernet cable for connecting to the Router, or a USB WiFi dongle if you have wireless connectivity. Note that the Raspberry Pi 3 includes built-in WiFi

    A USB Keyboard and mouse.

    Your Raspberry Pi will also needs a 5V micro USB power supply i(This may be a phone charger for example)

    The element14 IoT Learner kit contains the Raspberry Pi, the pre-flashed SD card, a case and power supply : https://www.element14.com/community/docs/DOC-82034/l/element14-iot-learner-kit

  • This is an entry level course, but does assume you have basic programming skills. The assignments set use both Python and JavaScript programming languages, so some basic skill in these languages is required.

  • The Server side code for the assignments will use the IBM Bluemix cloud platform, so you will need to sign up for a free account on that platform.

    When your 30-day trial expires, you can enter a credit card to keep using Bluemix. Bluemix has a set amount of free resources available to users who have registered with their credit card. If you stay within these free resources limits you will not incur any charges. This is a good idea if you are planning to take longer than 30 days to complete the course, or if you have an existing trial account that that is about to expire and you need longer time on the platform to complete the course.

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  • If you don't have a Sense HAT, there is an additional Node-Red node that you can install that acts as the Sense HAT simulator. The simulator nodes have to be installed from the command line, into your node-red directory.

    On your Raspberry Pi, type these commands to install the node for simulation, and then restart node red:

    cd

    cd. node-red/

    npm install node-red-node-pi-sense-hat-simulator

    node-red-stop

    node-red-start

    The additional nodes will appear in your node-red pallet.

    The installed nodes act exactly the same as the real Sense HAT nodes in terms of the messages that you receive and the data you need to send to the nodes. But rather than talking to the real hardware, they just simulate that hardware.

    To allow you to control what the sensor's data is, there's also a web interface where you can control the environmental sensors. So you can set the value you want published.

    There's an output node for the simulated Sense HAT, and again, that will show you in the web interface what the state of the LED panel is. And that will match exactly what you'd see if you had a real Sense HAT.

    So when you do the assignment, if you have a real Sense HAT, you can use the real Sense HAT nodes.

    If you don't have a Sense HAT, you simply have to switch in the simulated node, and then use the web interface to help you test the various conditions for your application.

  • If you have started a course that depends on the IBM Bluemix, and your trial has expired, you can continue taking the course on the same environment by providing your credit card information. To avoid being charged, close any application instances you are not using and pay attention to the usage of your environment details.

    Alternative, you can export any projects you are working on. Then, you can register for a new trial using a different email account, not used on IBM Bluemix before. Finally, import the projects to the new account.

    When exporting your projects, for Node-RED use the process used when submitting assignments (export flow form the old project, then import to the new project via clipboard). For Node.js you can redeploy the code to Bluemix using your new account credentials.

    If you have customized your GIT repository, or registered devices, migrating to a new environment will require you to redo those steps to reflect in the new environment.

  • If you already have an IBM Bluemix account, but your trial period has expired, you can always create a new account with a different email address.

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