• Discord Chatbot with IBM Watson on IBM Cloud Part 2

    Online event

    Learn how to create Discord chatbot with IBM Watson in this 2 part series. 🎡Register on Crowdcast: https://www.crowdcast.io/e/discord-chatbot-with-ibm 🎓 What you will learn In this online workshop developers will learn: Where to look for an API key in Discord How to add a chatbot to Discord using IBM Watson Intro to IBM Watson Assistant Deploying the chatbot in IBM Cloud for free using Serverless Cloud Native Programing 👩‍💻 Who should attend Developers, cloud developers, AI developers, full stack developers 🎙 Speaker Marek Sadowski, IBM Developer Advocate, https://twitter.com/blumareks 🎡Register on Crowdcast: https://www.crowdcast.io/e/discord-chatbot-with-ibm

  • Knative Vert.x Microservices on Red Hat OpenShift

    Online event

    Join IBM Developer Advocates Mary Grygleski and Dave Nugent as they dive into creating Knative Vert.x Microservices on Red Hat OpenShift. 🍿 Register on Crowdcast https://www.crowdcast.io/e/knative-vert-x-3 🎓 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. 👩‍💻 Who should attend? Developers and those interested in DevOps, IT, containers and application deployment. 🎙️ Speakers Mary Grygleski, IBM Developer Advocate in Chicago https://twitter.com/mgrygles Dave Nugent, IBM Developer Advocate in San Francisco https://twitter.com/drnugent 🍿 Register on Crowdcast https://www.crowdcast.io/e/knative-vert-x-3

  • Introduction to Elyra: Set of AI-centric extensions to JupyterLab

    🎓 Whether you are just getting started in Data Science or are seasoned data scientist, the JupyterLab IDE is likely a tool you are using frequently to get work done. In this session we will introduce Elyra - a set of AI-centric extensions to JupyterLab - that provide support for ML workflow pipelines, Git versioning, code snippets and much more. We'll also demonstrate how to create Machine Learning pipeline from Jupyter notebooks or Python scripts using Elyra's Visual Pipeline Editor, and how to run pipelines locally in JupyterLab or remotely on Kubeflow Pipelines. 🍿Join from a PC, Mac, iPad, iPhone or Android device: Please click this URL to join. https://zoom.us/j/92228985489?pwd=a1N0ZzQ0WWN1dzF6R3F4ZnZtYm9WUT09 Passcode:[masked] 🎙️ Speakers: Upkar Lidder is senior software engineer with 10+ years in IT development including team management, functional and technical leadership roles with a deep experience in full stack technology. Currently focused on Machine Learning and Artificial Intelligence. He can be seen speaking at various conferences and participating in local tech groups and meetups. Upkar went to graduate school in Canada and currently resides in the United States. Patrick Titzler is a developer advocate with the Center for Open Source Data and AI Technologies at IBM. For the past couple of years, he has contributed to several Data and AI open source projects, such as Elyra (a set of AI centric extensions to JupyterLab), the Data Asset Exchange (a curated collection of open data sets for the enterprise), and the Model Asset Exchange (a curated collection of open source deep-learning models). In his previous role as an advocate for IBM's cloud data platform, Patrick focused on open source based data services, such as Apache CouchDB and Apache TinkerPop. 🍿Join from a PC, Mac, iPad, iPhone or Android device: Please click this URL to join. https://zoom.us/j/92228985489?pwd=a1N0ZzQ0WWN1dzF6R3F4ZnZtYm9WUT09 Passcode:[masked] Or join by phone: Dial(for higher quality, dial a number based on your current location): US: [masked] or [masked] or [masked] or [masked] or [masked] or [masked] Webinar ID:[masked] International numbers available: https://zoom.us/u/ac9KMltvtQ

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  • ESPN Fantasy Football: Trade Assistant and Player Insights with Watson

    Take a deep dive into how we are applying Watson Discovery technology to the world of ESPN Fantasy Football with “Player Insights with Watson” and our new feature this year, “Trade Assistant with Watson.” You’ll go behind the code with developers who worked on the solutions, learn how they leveraged OpenShift on the IBM Cloud to meet large scale consumer demand, and how the team addresses bias and model shift when dealing with rapidly changing real-world scenarios. 🍭 Register on Crowdcast https://www.crowdcast.io/e/player-insights-with-watson 🏈 What will you learn In this workshop developers will learn: * How to use Watson Discovery and Natural Language Processing to mine and analyze millions of articles, podcasts, and blogs * How to meet heavy consumer demand with large-scale cloud computing using Hybrid Cloud * How to address bias within machine learning models ✅ Who should attend Developers and those interested in DevOps, AI, Natural Language Processing, large-scale cloud computing, and application deployment. 🧰 Pre-requisites Please do the following before the workshop: * Take a look at the solutions on ESPN’s Fantasy Football platform (https://www.espn.com/fantasy/football/) or at http://ibm.com/sports/fantasy 🎙 Speakers * Aaron K. Baughman, Distinguished Engineer and Master Inventor, IBM Developer Advocate, https://www.linkedin.com/in/aaronbaughman/ * Micah Forster, Software Engineer, Full-Stack Developer, https://www.linkedin.com/in/micah-forster-0207/ 🍭 Register on Crowdcast: https://www.crowdcast.io/e/player-insights-with-watson

  • Geospatial Analysis with Pandas - Introduction to Geospatial Analysis

    🎓 Part 2 : Introduction to Geospatial Analysis This workshop will introduce you to Geospatial data using Python and Pandas. Geospatial data refers to any data that includes information about the geographic location of the record in addition to other features. We will look at the properties of geospatial data and explore what you can do with GeoPandas. 🎈Register on Crowdcast → https://www.crowdcast.io/e/geospatial-analysis-with-2 This is a good series for you if you are: - an aspiring data scientist - frequently working with excel files and want another approach to dissect data - a SQL developer looking to get into programming - curious about data in general! You will learn about: - Pandas and GeoPandas data structures - Transforming and exploring geospatial data - Visualising data with charts and maps - Data from the boroughs in London will be used 🎓 Prerequisites Sign up for IBM Cloud - https://ibm.biz/BdqCub 🎙 Speakers: * Margriet Groenendijk, Developer Advocate, IBM * Upkar Lidder, Developer Advocate, IBM 📅 Upcoming & Recorded Sessions: * 10/14/2020 - Part 1 : Introduction to Pandas * 10/28/2020 - Part 3 : Explore UK Crime Data with Pandas and Geopandas 🎈Register on Crowdcast → https://www.crowdcast.io/e/geospatial-analysis-with-2

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  • Tech Talks with Bee Travels - Part 1 : Designing Microservices

    👩‍💻 Microservices is a software architecture paradigm that is not new. About a decade after their inception in the industry, they are still a cause of many debates. We are moving away from our monolithic architecture for speed of development and deployment. But microservices are not without its challenges. 🎡Register on Crowdcast: https://www.crowdcast.io/e/beetravels_part1 How do we properly create service boundaries in our application? How do we handle distributed logging, monitoring, and communication? How do we secure our application? What is our deployment strategy? How do we make sure our services do not regress? What do we do for scaling our services based on load? 🎧In this tech series, we will be using an example travel application called Bee Travels to dive deep into designing fully scaled cloud-native microservice applications. Bee Travels is a polyglot demo microservice application to demonstrate key capabilities of Kubernetes, OpenShift, Istio, Knative, and many other cloud-native technologies. Bee Travels uses best in practice standards for cloud-native development, recommended coding styles in Node, Python, Rust, Go, and Java, and encompasses the full developer life cycle experience. 🎓Throughout this series we will use Bee Travels to dive into the following topics : Microservice design Deploying microservices Testing and debugging microservices Data Handling within microservices Connecting microservices to different services on IBM Cloud Monitoring and logging microservices Communication between microservice CI/CD Security 💫 Come join us each week to hear what the buzz is about Bee Travels and learn more about the ins and outs of building cloud-native microservices. 🎡Register on Crowdcast: https://www.crowdcast.io/e/beetravels_part1

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  • Discord Chatbot with IBM Watson on IBM Cloud Part 1

    Online event

    Learn how to create Discord chatbot with IBM Watson in this 2 part series. 🍿 Register on Crowdcast https://www.crowdcast.io/e/discord-chatbot-with-ibm 🎓 What you will learn In this online workshop developers will learn: * Where to look for an API key in Discord * How to add a chatbot to Discord using IBM Watson * Intro to IBM Watson Assistant * Deploying the chatbot in IBM Cloud for free using Serverless Cloud ( * Native Programing 👩‍💻 Who should attend Developers, cloud developers, AI developers, full stack developers 🎙 Speaker Marek Sadowski, IBM Developer Advocate, https://twitter.com/blumareks 🍿 Register on Crowdcast https://www.crowdcast.io/e/discord-chatbot-with-ibm

  • Kafka and Kubernetes on OpenShift World Tour

    Online event

    🍉 In this workshop in the Build Smart on Kubernetes World Tour series, you will work with Java, Reactive Messaging APIs, Apache Kafka, and Red Hat OpenShift. You will learn how to build reactive Java microservices using the Eclipse MicroProfile Reactive Messaging API and Open Liberty. 👩‍💻Register here: https://www.crowdcast.io/e/kafka-and-kubernetes-on You will learn how to build reactive microservices that can send requests to other microservices, and asynchronously receive and process the responses. You will use an external messaging system to handle the asynchronous messages that are sent and received between the microservices as streams of events. MicroProfile Reactive Messaging makes it easy to write and configure your application to send, receive, and process the events efficiently. 🍉 Asynchronous communication between microservices can be used to build reactive and responsive applications. By decoupling the requests sent by a microservice from the responses that it receives, the microservice is not blocked from performing other tasks while waiting for the requested data to become available. Imagine asynchronous communication as a restaurant. A waiter might come to your table and take your order. While you are waiting for your food to be prepared, that waiter serves other tables and takes their orders too. When your food is ready, the waiter brings your food to the table and then continues to serve the other tables. If the waiter were to operate synchronously, they must take your order and then wait until they deliver your food before serving any other tables. In microservices, a request call from a REST client to another microservice can be time-consuming because the network might be slow, or the other service might be overwhelmed with requests and can’t respond quickly. But in an asynchronous system, the microservice sends a request to another microservice and continues to send other calls and to receive and process other responses until it receives a response to the original request. MicroProfile Reactive Messaging provides an easy way to asynchronously send, receive, and process messages that are received as continuous streams of events. You simply annotate application beans' methods and Open Liberty converts the annotated methods to reactive streams-compatible publishers, subscribers, and processors and connects them up to each other. MicroProfile Reactive Messaging provides a Connector API so that your methods can be connected to external messaging systems that produce and consume the streams of events, such as Apache Kafka. 🖥 What you will learn During this webinar you will learn the following skills: - running reactive microservices in containers - consuming Apache Kafka messaging in IBM Cloud from containers - running containers with Kubernetes on Red Hat OpenShift 🎙 Speakers Marek Sadowski is the published author on Serverless Swift (preorder today: https://www.apress.com/gp/book/9781484258354) - connect with Marek via Twitter: @blumareks 👩‍💻Register here: https://www.crowdcast.io/e/kafka-and-kubernetes-on

  • Geospatial Analysis with Pandas - Introduction to Pandas

    🎈Register on Crowdcast → https://www.crowdcast.io/e/geospatial-analysis-with 💡This is a good series for you if you are: - an aspiring data scientist - frequently working with excel files and want another approach to dissect data - a SQL developer looking to get into programming - curious about data in general! 🎓 Part 1 : Introduction to Pandas This is an introductory session on exploring and analyzing data using Python, Pandas and Jupyter Notebooks. We will go over: - how to obtain/read a data file using python in Watson Studio - how to clean noise in data - selecting and querying data - reshaping and filtering data - grouping data into a hierarchy - simple graphing of data - data from the boroughs in London will be used 🎓 Prerequisites Sign up for IBM Cloud - https://ibm.biz/BdqCue 🎙 Speakers: Margriet Groenendijk, Developer Advocate, IBM Upkar Lidder, Developer Advocate, IBM 📅 Upcoming & Recorded Sessions: 10/21/2020 - Part 2 : Introduction to Geospatial data 10/28/2020 - Part 3 : Explore UK Crime Data with Pandas and Geopandas 🎈Register on Crowdcast → https://www.crowdcast.io/e/geospatial-analysis-with

  • Cloud Native Developer Summit

    Online event

    💥 Join IBM Developer for the very first online Cloud Native Developer Summit. The Cloud Native Developer Summit is an exciting half day of talks, workshop and virtual networking with speakers from Gremlin, TechScalable, Solo.io, and IBM. While we are not able to provide real food, we will be giving out virtual 🍕s! 🍪 Free and open to all - come and learn about Cloud Native. Bring your questions and curiosity for learning. 🎡 Register on Crowdcast https://www.crowdcast.io/e/cloud-native-dev-summit 👩‍💻👨🏼‍💻 Check out the event page, speaker's bio and session descriptions http://cloud-native-developer-summit.splashthat.com 🍭 Agenda (all times are Pacific Time) * 11:45 AM Welcome 👋🏻 Julia Nash, Upkar Lidder * 1200 PM Why Cloud Native Requires Chaos Engineering Ana Margarita, Gremlin * 12:30 PM Building Cloud Native Apps with Knative and TektonCD Carlos Santana, IBM * 1:00 PM Cloud Native hands-on workshop Alex Parker, IBM * 1:30 PM 10 useful techniques to make sense of Istio Lin Sun, IBM * 2:00 PM Service Mesh and Enterprise Level Design Shweta Vohra, IBM * 2:30PM Serverless Deployment of a Reactive Microservice to the Modern Cloud Infrastructure Mary Grygleski, IBM 🎙 Hosts Hosted by Julia Nash & Upkar Lidder 🎡 Register on Crowdcast https://www.crowdcast.io/e/cloud-native-dev-summit 🙌🏻 Code of Conduct Please read our Code of Conduct: https://github.com/IBMDeveloperSF/code-of-conduct/