• Learn how COBOL and open source are used in modern mainframe ecosystem

    The current COBOL standard was released in 2014 and the latest IBM Z mainframe was released in April 2020. Contrary to being legacy technologies, development is still incredibly active on both and together they still easily handle a large number of mission critical workloads, from airlines to banks, around the world. You'll even find mainframes in IBM Cloud, driving secure key handling, encrypted databases, and secure, Linux-based, virtual machines. In this talk you'll hear from a former cloud-focused Linux Systems Administrator who has recently joined the world of COBOL and mainframes to learn about what she's discovered about the ecosystem, and the modern, DevOps-driven tooling now available to developers entering this space. 🎟 Register on Crowdcast https://www.crowdcast.io/e/learn-how-cobol-and-open 🎓 What will you learn? In this talk developers will learn: * What do modern COBOL and mainframes look like? * How is open source playing a major role in the modern mainframe ecosystem? * What kinds of DevOps tools are being made available to mainframe developers? 👩‍💻Who should attend? Developers and DevOps practitioners who are curious about how today's COBOL and mainframes integrate into a modern environment. 📚 Pre-requisites None 🎙 Speaker(s) Elizabeth K. Joseph, IBM Z Developer Advocate, https://twitter.com/pleia2 🎟 Register on Crowdcast https://www.crowdcast.io/e/learn-how-cobol-and-open

  • Becoming AI Developers in Four Weeks

    Online event

    Developers! It’s your time to put data science into your skill arsenal. Register here - https://ibm.biz/ai-developer-4-weeks Back by popular demand, IBM developer and Digital Technical Engagement (DTE) team up to help you become an AI developer in four weeks. We will provide self-paced assignments, video tutorials and other assignments during July. We will have weekly office hours and a slack channel so that you can ask questions and exchange notes with other participants. The following office hours are offered to tackle: Part 1: Getting started with Upkar Lidder Part 2: Building and deploying models using AutoAI with Jacques Roy Part 3: Managing and measuring models for trust and transparency with Eric Martens Part 4: Optimizing schedules, allocations and plans through multiple programming models with Nerav Doshi You can join anytime and catch up by listening to the previous sessions. Register now and be part of the AI implementation powerhouse! You can also read a Q and A blog with Upkar in the interim - https://developer.ibm.com/technologies/artificial-intelligence/blogs/why-developers-are-becoming-the-ai-implementation-powerhouse/. Hope to see you all there!

  • Lightweight Serverless Cloud Functions with Java and Quarkus - Part 1

    Serverless has long been the domain of “lightweight” scripting languages like JavaScript and Python, primarily because Serverless Cloud Functions should boot up fast, and utilize a small amount of memory. In this low-slides, high-code, session, we’ll dive into how Java, with the Cloud Native optimized framework Quarkus, is an excellent platform for building Cloud Functions. We don’t need the weight of a web app - or even REST, as this adds to the complexity and overhead of Cloud Functions. Register on Crowdcast https://www.crowdcast.io/e/cloud-fuctions-java-1 We will cover: * A quick primer on Cloud Function and Serverless Architecture * Building a Quarkus app using command mode (i.e. no Web, REST) * Deploy to the Cloud * Test, and troubleshoot, LOCALLY for maximum developer efficiency * Customize the deployment container to include any libraries you need * Finally, we’ll leave you with a hands-on coding exercise - that you can run directly in your browser! Agenda: 9:30 am: Event kick-off 9:45-11:00 am: Webinar 11-11:15 am - Final Q&A *Time is Pacific Time Speaker: Pratik Patel (@prpatel, http://twitter.com/prpatel) is an all-around software and hardware enthusiast with experience in the healthcare, telecom, financial services, and startup sectors. He's written some books, hacks on open source, and is currently a lead developer advocate at IBM. He helps to organize the Atlanta Java User Group, North Atlanta JavaScript meetup and Big Data Atlanta, frequent speaker at tech events, and master builder of nachos. Register on Crowdcast https://www.crowdcast.io/e/cloud-fuctions-java-1

  • AI and OpenShift: Deploy and consume deep learning microservices on OpenShift

    Join IBM Developer Advocate Dave Nugent and Nigel Brown as they take an in-depth view of what containers are, how they work, and the technical systems that underpin their operation. 🎡Register on Crowdcast https://www.crowdcast.io/e/ai-integration-with 🎓 What will you learn? In this tutorial in the Build Smart on Kubernetes World Tour series, you learn how to deploy and consume ready-to-use deep learning microservices on Red Hat® OpenShift® on IBM Cloud. This tutorial shows how to deploy an Object Detector microservice using the OpenShift web console and how to deploy an Image Caption Generator microservice using the OpenShift command-line interface (CLI). Check out the link at the end of this page to see the workshop exercises. Complete the lab to learn the following skills: * Deploy a model-serving microservice from a public container image on Docker Hub. * Create a route that exposes the microservice to the public. * During the lab we'll assign you a Red Hat OpenShift cluster and allow you to deploy a service onto it. 👩‍💻 Who should attend? Developers and those interested in DevOps, IT, containers and application deployment. 🎙️ Speakers * Nigel Brown, IBM Developer Advocate in Austin https://twitter.com/not_nigel * Dave Nugent, IBM Developer Advocate in San Francisco https://twitter.com/drnugent 🎡Register on Crowdcast https://www.crowdcast.io/e/ai-integration-with

  • Location Services with HERE Technologies – Disaster Resiliency Starter Kit

    A technology session to enable the attendees and participants to understand Location Services and Applications related to Maps. It will include Market insights on industry trends and an overview of the available tools and platforms in addition to an introduction to HERE Location and Free Open Data platforms. Participants will get an overview of HERE Location Services and how to use them. This session will be part of the 8 sessions series to empower you with the right tools for your development. We will be including an overview of HERE Location Services (HLS), all the APIs, and how to use it for different use cases. All from a technical perspective. In each part of the series, you will have a hands-on opportunity to learn how to build a location-based project with HERE Technologies, the world's #1 location platform. Get a head start today by signing up for IBM Cloud via → https://ibm.biz/HERETechnologies 🎡Register on Crowdcast https://www.crowdcast.io/e/ibmcloud-here-part2 Part 2: Build an app using the Disaster Resiliency Starter Kit Use this starter kit to understand how technology can help our society become more resilient to disasters and kick-start your solution with this idea for an AI-based app that prepares communities for floods. The starter kit, composed of a React Native front end and Node.js backend, integrates with Watson Assistant and HERE Location Services. It gives developers a template to quickly get started building a solution. 🎓 Learning outcomes * Setup IBM Cloud services using this Starter kit * Explore HERE Maps API * Explore HERE Routing API 👩‍💻 Who should attend? * Web Developers * Mobile Developers * Backend Developers * UI/UX Designers * Product managers 🎈Prerequisites: Please do the following before the workshop: 1. Please register with HERE Developer Program (https://bit.ly/HEREDevs) and IBM Cloud (https://ibm.biz/HERETech) and get your account ready to follow along - Free Access! 2. Be prepared with the GitHub resources https://bit.ly/HEREGitHub 3. Bring your Coffee/Tea and enjoy the journey 🎙Speakers * Vidhan Bhonsle, Senior Developer Evangelist at HERE Technologies, https://www.linkedin.com/in/vidhan-bhonsle * Mohamed Abdeljalil, Business Development and Community Growth Manager at HERE Technologies, Middle East, https://www.linkedin.com/in/abdeljalil/ * Mridul Bhandari, IBM Developer Advocate, https://www.linkedin.com/in/mridul-bhandari 🎡Register on Crowdcast https://www.crowdcast.io/e/ibmcloud-here-part2

  • Exploring Quantum Computing with Qiskit

    Online event

    Quantum computing is an emerging technology that has the potential to offer exponential speedups over traditional computing for certain classes of problems. After decades of pioneering research, access to small prototype quantum processors is now available to anyone, along with a growing set of tools to program them. The race is on to develop new algorithms that harness this completely new computing paradigm while contending with the noise that remains prevalent in these early-stage quantum devices. 🎡Register on Crowdcast https://www.crowdcast.io/e/exploring-quantum This event will introduce basic ideas in quantum computing, survey the state of the art in building real quantum computers, and provide a hands-on introduction to the Qiskit programming language for building and running quantum algorithms. 🎓Specific highlights will include the following: * Superposition and entanglement * Decoherence and other sources of error * Superconducting qubits and other realizations * Quantum circuits and compilers * Algorithms for noisy quantum computers In order to participate in the hands-on portion of this event, please register in advance for an account on the IBM Quantum Experience at http://ibm.co/iqx. 👀Agenda (Pacific Time): * 9:30 am: Event kick-off * 9:45-11:00 am: Webinar * 11-11:15 am - Final Q&A 🎙Speaker: Doug McClure is a Research Staff Member and Manager of Quantum System Deployment at IBM Research in Yorktown Heights, New York. Since joining IBM in 2012, he has focused on several aspects of building quantum computers based on superconducting qubits: improving quantum measurements, qubit coherence times, and most recently the performance and reliability of large multi-qubit systems. He received his PhD in experimental physics from Harvard University, where under the guidance of Professor Charlie Marcus he studied the physics of fractional quantum Hall states with potential applications in topological quantum computing. 🎡Register on Crowdcast https://www.crowdcast.io/e/exploring-quantum

  • Big Data Processing with Cloud Functions and Java - Part 2

    In the last session in the “Java and Serverless Cloud Functions” series, we discussed using Quarkus command mode apps to build lightweight, Cloud Native, applications. Please either do the coding workshop or watch the first session’s video. (you are also welcome to follow along, of course) Register on Crowdcast https://www.crowdcast.io/e/cloud-fuctions-java-2 Serverless Cloud Functions are a powerful tool in the software developer’s toolbelt. They allow us to quickly build out solutions, with the ability to deploy for free - then run at minimal cost, paying for only the exact amount of time the Cloud Functions are being used. In this session, we’ll live-code a use case for doing Big Data processing. Here’s what we will cover: We will cover: * Describe the use case: process a large amount of data and store calculated, derived data, in a database * Use a Cloud Function trigger to process new data when it arrives * Use a Quarkus application, running in minimal-overhead command mode, to load and do calculations (running as a Cloud Function) * Store the calculated data in a NoSQL database * Write another Cloud Function to display the data in a web browser Finally, we’ll leave you with a hands-on coding exercise - that you can run directly in your browser! Agenda (Pacific Time): 9:30 am: Event kick-off 9:45-11:00 am: Webinar 11-1:15 am - Final Q&A Speaker: Pratik Patel (@prpatel, http://twitter.com/prpatel) is an all around software and hardware enthusiast with experience in the healthcare, telecom, financial services, and startup sectors. He's written some books, hacks on open source, and is currently a lead developer advocate at IBM. He helps to organize the Atlanta Java User Group, North Atlanta JavaScript meetup and Big Data Atlanta, frequent speaker at tech events, and master builder of nachos. Register on Crowdcast https://www.crowdcast.io/e/cloud-fuctions-java-2

  • Deep Learning with JavaScript with TensorFlow.js - Hands On Approach

    Machine learning can be used for many tasks including image or audio classification, facial recognition, object recognition, image caption generation, and natural language processing. And with TensorFlow.js developers can embed pre-trained machine learning models or train new models directly in JavaScript. ⛱ Register on Crowdcast https://www.crowdcast.io/e/deep-learning-with TensorFlow.js enables real-time machine learning directly in the browser or edge device, improving data security and removing dependency on slow and unreliable network API calls. Learn how to get started with TensorFlow.js and explore the opportunities and the challenges around deploying machine learning models in JavaScript. 🎓 What you will learn In this hands-on workshop developers will learn: * what is deep learning * what is TensorFlow.js * how to get started with TensorFlow.js * deploy deep learning models on the cloud 👩‍💻 Who should attend Data scientists looking to explore Deep Learning Software developer who want to get started with Tensoflow.js ✅ Pre-requisites Sign up for IBM Cloud - http://ibm.biz/ibm-ml-tensorflow 🎙️Speaker(s) Va Barbosa, IBM Developre Advocate, https://www.linkedin.com/in/iamva/ ⛱ Register on Crowdcast https://www.crowdcast.io/e/deep-learning-with