06/11/2017 | Written by: Stephanie Cleijpool
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Expand your knowledge on IoT, AI, data science and application metrics
On November 2nd, J-Fall 2017 took place: the biggest Java conference of the Netherlands, organized by the NLJUG (the Dutch Java User Group). IBM hosted four hands-on workshops and we won’t keep this content exclusively for J-Fall visitors. At IBM we love to share our code with you, so you can grow your skills and solve the real problems you face in your day-to-day life. So pick one of the topics you like and start coding!
Cognitive API’s: Build your own chatbot in a snap!
Always wanted to build your own cognitive chatbot? Then follow this journey, you will see how easy it is to implement a bot using the cognitive API’s available in our cloud platform. Both developers with more in-depth background as people with first interest can follow the labs. Start here
Internet of Things: Connect anything with anything, from hardware to Api’s
This journey asks some preparation. There’s a shopping list with all the stuff you need. Then follow the instructions and you will learn how to use Node-RED to build a cognitive app. You can also make use of data generated by a connected device, like your phone or a raspberry Pi. Start here
Deploy your models to gain value from insight
Model deployment is an often overlooked but essential part of your success as a data scientist. In this lab, you will use IBM’s Data Science Experience to develop a predictive model in a Jupyter notebook. You will then deploy the resulting Spark pipeline as a cloud service where access is demonstrated through a simple web interface. Some knowledge of Python and modelling will help. Start here
Application Metrics made simple
A short hands-on exercise using Docker to show how easy it is to get application metrics running in a development environment. This lab will teach you how to deploy a web application with built in performance metrics and a dashboard for Java, Swift or Node. Using open source tools created by the IBM Runtimes team you’ll quickly see how you can get feedback about the state of your application (whether it’s a monolitic design or comes as multiple microservices). You will also learn how to get started with driving workloads into a web application and all from a Docker file. Start here
Do you want to know more about IBM ‘s code patterns or want to get in touch with one of our developer advocates? Check our developer page here.