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RSVP on Crowdcast NOW! https://www.crowdcast.io/e/lvaejjgs ❗Please do not forget to register on Crowdcast and join us using Chrome browser via Crowdcast on the event date! IBM and Postman are partnering up to show you how to use open source tools to create and test scalable and secure APIs! Application programming interface, or APIs, are essential to any solution or software and need to be tested individually and in integration with other moving pieces. Testing APIs as an activity can be owned by the developers, the QA testers, or both. The QA team generally does not have access to the code. They write scripts and harnesses to test the APIs. We will show you how easy it is to use Postman to create test cases and scripts that can be run automatically on APIs created on serverless platforms! This is going to be a very hands-on workshop. Be ready to write some test scripts! Prerequisites 1. Install Postman: https://www.getpostman.com/downloads/ 2. Sign up for IBM Cloud: http://bit.ly/ibm-postman 3. Curiosity and your laptops! ❗RSVP on Crowdcast NOW! https://www.crowdcast.io/e/lvaejjgs Speakers Joyce, Lead Developer Advocate, Postman Upkar Lidder, Developer Advocate, IBM
Join IBM Developer for our very first IBM Cloud Education Summit. A full-day of hands-on training where you will learn about AI, Machine Learning, Kubernetes and Serverless to help you build your next application. ==Schedule== 9:30 - 10:00 - Registration & breakfast 10:00 - 10:30 - Introduction to IBM Cloud services (talk) 10:30 - 12:00 - Workshop 1: Build three serverless applications with Apache OpenWhisk! 12:00 - 1:00 - Lunch 1:00 - 2:30 - Workshop 2: Running Your Docker Containers in Kubernetes in IBM Cloud 2:30 - 2:45 - Coffee break 2:45 - 4:15 - Workshop 3: Deploy and monitor machine learning models on IBM Cloud 4:15-5:00 - Happy hour ==Workshop descriptions== **Deploy and monitor machine learning models on IBM Cloud** In the not-too-distant past, data scientists worked in silos, doing their work on desktops and sharing Python and R scripts with their peers. Now, they have tools like Watson Studio and Jupyter Notebooks that make collaboration easier online. While it is easy to share code and dashboards with technical and non-technical folks, it is still difficult to deploy your amazing models such that others can use them hassle-free. Even after you have deployed a model, you still need to monitor it closely and re-deploy new, improved models over time. In this hands-on workshop you will successfully create, store, and deploy a Machine Learning Model on IBM Cloud using Watson Studio and Watson Machine Learning Services. **Running Your Docker Containers in Kubernetes in IBM Cloud** Kubernetes is an open-source software for automating deployment, scaling, and management of containerized applications. The workshop will consist of two parts: 1. Overview: * What is Kubernetes and Kubernetes fundamentals * Docker vs. Kubernetes 2. The hands-on workshop: * App deployment with Docker/and Kubernetes CLI * How to use Kubernetes to automate deploying, scale and manage container-based applications **Build three serverless applications with Apache OpenWhisk!** Serverless computing refers to a model where the existence of servers is entirely abstracted away. Even though servers exist, developers are relieved from the need to care about their operation. They are relieved from the need to worry about low-level infrastructural and operational details such as scalability, high-availability, infrastructure-security, and other details. Serverless computing is essentially about reducing maintenance efforts to allow developers to quickly focus on developing code that adds value. We will work through three labs in this session: Lab1: Create, build, and run a cloud-native Node.js serverless app in less than 15 minutes Lab2: Create, build, and run a cloud-native Python 3 serverless application that uses the Visual Recognition service to determine image content Lab3: Create, build, and run three serverless functions as a sequence We will use Apache OpenWhisk to run through the labs. Openwhisk is an open source, distributed Serverless platform that executes functions (fx) in response to events at any scale. OpenWhisk manages the infrastructure, servers and scaling using Docker containers so you can focus on building amazing and efficient applications. Key concepts introduced will include triggers, rules, actions, composition and event driven architecture. Finally, serverless is relatively new and we will look at what the shortcomings are with the current technology and how to mitigate them. ==How to prepare for the workshops & prerequisites == * Bring your laptop * For 'Running your Docker Containers in Kubernetes in IBM Cloud' workshop: Download & test Docker. Docker for Mac or Windows (or other platforms), please visit Docker Community Edition page: https://hub.docker.com/search/?type=edition&offering=community Please test your Docker installation by writing in the terminal: >docker run ubuntu echo Hello World You should see "Hello World" message. That confirms the installation of the Docker is successful.
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RSVP on Crowdcast NOW! https://www.crowdcast.io/e/build-an-intelligent ❗Please do not forget to register on Crowdcast and join us using Chrome browser via Crowdcast on the event date! Join us for an interactive coding workshop where advocates from IBM Watson and PubNub will help you code a real-time intelligent chatbot using the AI capabilities of IBM Watson and the super-fast and easy to use PubNub realtime network. We’ll cover: - An introduction to the PubNub realtime network, channel architectures and the publish/subscribe paradigm - A walkthrough of IBM Watson and Watson Assistant - How to create an interactive chatbot - Distributing your interactive chatbot globally with the PubNub realtime network - Demo and Q&A RSVP on Crowdcast NOW! https://www.crowdcast.io/e/build-an-intelligent More about PubNub: PubNub empowers developers to create realtime applications in just a few lines of code, which streamlines development and allows developers of all skill levels to make robust, realtime applications.
Many experts refer to Quantum Computing as the next growth field for processors and infrastructure. Quantum has the potential to revolutionize the way data is encrypted, decrypted, processed and queried, and applies a new processing paradigm to extant problem spaces. But how much of this is buzz words and hype, and how much is implementable? Come find out at IBM Developer SF's meetup. We’ll discuss some potential applications of Quantum Computing to the real world field of artificial intelligence. Topics include: - The History of AI Research - Quantum Theory - Frameworks & Projects - Building a Quantum Program - AI Applications - Future Predictions