• Hand on Lab -Test Drive an Autonomous Database Warehouse powered by AI/ML

    RSVP through Eventbrite here: http://bit.ly/oracle-ai-ml-lab *Please bring your laptops for this hands-on lab* AGENDA: 6:00 pm - 6:30 pm: Check-In, Food & Networking 6:30 pm - 6:50 pm: Keynote on Autonomous Database Warehouse (ADW) 6:50 pm - 8:45 pm: Hands-on Lab – ADW 8:45 pm - 9:00 pm: More Networking LAB OVERVIEW: An autonomous database is a cloud database that uses machine learning to eliminate the human labor associated with database tuning, security, backups, updates, and other routine management tasks traditionally performed by database administrators (DBAs). ADW is built around the market-leading database and comes with fully automated data warehouse specific features that deliver outstanding query performance. This lab walks you through the steps to get started using the Oracle ADW. LEARN: 1) How to deploy a data warehouse and run workloads with only a few clicks. 2) How to scale storage and compute resources independently with database services running with no downtime. 3) How to run faster analytics on diverse data sets with a fast visual predictive pattern. This hands-on workshop is for all machine learning experts, data scientists, DBAs, and developers who want to learn how a self-driving, self-repairing, and a self-securing data warehouse works on high-performance infrastructure. PREREQUISITIES: Bring Laptop- either Windows/Mac and pre-install: 1. SQL Developer: https://www.oracle.com/technetwork/developer-tools/sql-developer/downloads/index.html Windows: Select the OS for your computer. (This page also has instructions on how to install SQL Developer on Windows, Mac OSX and Linux.) If you already have SQL Developer installed on your computer please check the minimum version required to connect to an Oracle ADW Cloud is SQL Developer 17.4. Mac: https://www.oracle.com/technetwork/developer-tools/sql-developer/downloads/sqldev-install-mac-1969675.html 2. Data Visualization Desktop Oracle Data Visualization Desktop makes it easy to visualize your data so you can focus on exploring interesting data patterns. Choose from a variety of visualizations to look at data in a specific way. Data Visualization Desktop comes with Oracle ADW. INSTALL: https://www.oracle.com/technetwork/middleware/oracle-data-visualization/downloads/oracle-data-visualization-desktop-2938957.html Select the OS for your computer. This page also has instructions on how to install DVD on Windows and Mac OSX. If you already have Data Visualization Desktop installed on your computer then please check the version. The minimum version that is required to connect to an Oracle ADW Cloud is 12c[masked]. ARCHITECTS: Kiran Makarla is the Principal Solution Marketing Director, Kiran has helped build, develop, evangelize and marketed E-Commerce and Payment solutions, Enterprise IT Operations solutions, cloud & workload automation solutions in both public / private & hybrid cloud environments. Sai Valluri is a Product Marketing Manager with the DB Product Marketing Group at Oracle. Sai has donned multiple hats including Business Development, Alliances, Program Management, and Pre-Sales. Vishal is a cloud technology evangelist and a seasoned Oracle database professional with an extensive background in configuring and installing Oracle databases, designing and implementing strong, cohesive and efficient high availability solutions and database designs.Hand on Lab -Test Drive an Autonomous Database Warehouse powered by AI/ML

    1
  • Discover the Future of Data Science - RAPIDS: A Hands-on Lab with NVIDIA

    RVSP on Eventbrite here: https://www.eventbrite.com/e/discover-the-future-of-data-science-rapids-a-hands-on-lab-with-nvidia-tickets-65442360863 Description: Have you ever felt the pain of waiting for your training sets to load for hours? In this workshop, we will learn how to speed up your data science and machine learning workflow by up to 50x with only a new few lines of code. Come network with other students of A.I. and industry experts as we explore the realities of GPU computing. What is RAPIDS: RAPIDS, an open source project backed by NVIDIA, is a collection of libraries that lets your data science workflows harness the acceleration of GPUs. It lets GPUs do for data science what GPUs did for neural networks. RAPIDS uses Pandas and SciKitLearn like APIs to enable you to accelerate your existing code in the language you know with a few minor code changes. Agenda: 6:00-6:20- Networking (Food & Drinks Provided) 6:30-6:45- Introductions and Workflow Setup 6:45-7:45- Hands-on Lab with RAPIDS 7:45-8:00- Questions & Contest 8:00-9:00- Networking In this session, we will cover: -What is RAPIDS and how to get started -Hands-on “code-along” training session in a Jupyter notebook -Walkthrough of GPU data science at scale -Exporting your model to continue your analysis -Free time to play with the data Who Should Attend: -Recent Data Science Bootcamp Students and Alumni -Industry Junior + Senior Data Scientists -Anyone who needs to analyze large amounts of data Why Should you Attend: LEARN: -How to scale your work with them in your machine -How to accelerate existing data science workloads with only a few lines of code. -How to accelerate your machine learning and data analytics workflows to save your company time on large data sets -See how to scale out to multi GPU and multi-node using Dask and XGBoost -Understand real use-cases on how companies like Walmart have built their models in 20 seconds instead of 2 days. DO: -Try RAPIDS on Google Colab -Learn how to deploy RAPIDS in the cloud or on your device -Network with other data scientists and RAPIDS/Galvanize community experts About Galvanize: Galvanize is the premier dynamic learning community for technology. With campuses located in booming technology sectors throughout the country, Galvanize provides a community for each the following: Education – part-time and full-time training in web development, data science, and data engineering Workspace – whether you’re a freelancer, startup, or established business, we provide beautiful spaces with a community dedicated to supporting your company’s growth Networking – events in the tech industry happen constantly in our campuses, ranging from popular Meetups to multi-day international conferences To learn more about Galvanize, visit galvanize.com. If you have specific questions regarding our Data Science Immersive course, please reach out to our Enrollment Officer, Itzel Cortes ([masked]). **By registering for this event, I understand that I am opting to receive electronic communications from Galvanize, NVIDIA and RAPIDS.ai and agree to being photographed for future marketing purposes. By doing so, I am expressly overriding any prior opt-out I may have previously made to Galvanize. I understand that I can opt-out at any time.

  • Design and Deployment of Deep Learning with Spark

    Needs a location

    The SF bay ACM meetup would like to invite you to come to a class "Design and Deployment of Deep Learning with Spark" this Saturday, 10/28 in Sunnyvale, CA. For a class description, see: https://www.meetup.com/SF-Bay-ACM/events/254632920/?success=email_sent To sign up on Eventbrite with a $25 off code, "SFDS25" for SF Data Science, go to https://www.eventbrite.com/e/acm-professional-development-seminar-pds-2018-silicon-valley-tickets-50447535938 Notebook instances will be provided by the organizers. 8 HR CLASS - SUMMARY (detailed outline follows) We will review the design of convolutional neural networks (CNNs) and their history. Why convolutional networks are designed in this particular way; what is the purpose of convolutions, pooling layers and fully connected layers; how CNNs relate to feed-forward (fully-connected) networks. In the workshop section we will apply this knowledge to create a LeNet-5 convolutional network using Spark/BigDL, train the network and use it to recognize handwritten digits from the MNIST dataset. After that we will review the concept of transfer learning — a sophisticated method of applying large convolutional neural networks to real-world problems of recognizing arbitrary images. In the workshop sections we will use BigDL and pre-trained Inception Model and apply transfer learning concepts to recognize images from an arbitrary dataset. ABOUT the Instructors: Sujee Maniyam (https://www.linkedin.com/in/sujeemaniyam) is a seasoned Big Data practitioner and founder of Elephant Scale. He teaches and consults in Big Data technologies (Hadoop, Spark, NoSQL and Cloud) and Data Science. He is an open source contributor and author of 'Hadoop illuminated' (an open-source book on Hadoop) and 'HBase Design Patterns'. Sujee is a frequent speaker at various conferences and meetups. He also advises and mentors various firms. Contact : [masked] Github : https://github.com/sujee Alex Kalinin (https://www.linkedin.com/in/alexkalinin) leads AI/Machine Learning team at Sizmek - the largest independent buy-side advertising platform. The team develops cutting edge conversion models, recommender systems, models for automatic A/B testing, and many others. These models are applied in real time at scale, with billions of requests processed per day. Previously, Alex worked in both startups and large companies. While at home.ai he led the team to develop home automation algorithms leveraging computer vision and convolutional neural networks. At Yahoo he led the development of the large-scale user acquisitions and analytics system supporting rapid growth of Yahoo Games business. Alex holds MS in Physics degree, and published several papers on image recognition and pattern detection. Greg Makowski (https://www.linkedin.com/in/gregmakowski/) has been deploying data mining models for 25 years as the "neural net guy" at American Express/Epsilon. He has developed the analytic internals and automation for 6+ enterprise software systems or SaaS systems. His first convolutional neural net was trained in 1991, a Time Delay Neural Net for speech recognition. Vertical experience includes financial services (credit card, retail banking, bond pricing, ACH payments, fraud detection, customer relationship management (mail, phone, email, banner), retail supply chain among others. He always has something to learn from everybody.

  • Amazon Alexa: Skill Development Workshops

    Galvanize

    *Please register for this event via Eventbrite (https://www.eventbrite.com/e/amazon-alexa-skill-development-workshops-san-francisco-tickets-36730855979?aff=LDS). Become an Amazon Alexa Skill Developer! Join a free workshop hosted by Galvanize and Amazon to learn more about building applications for Alexa! Students will learn to create applications for a voice user interface (VUI) and prepare for the jobs of tomorrow in AI, VUI design, and voice computing. What is Alexa? Alexa is Amazon’s voice service and the brain behind millions of devices including Amazon Echo. Alexa (https://developer.amazon.com/alexa) provides capabilities, or skills, that enable customers to create a more personalized experience. There are now more than 10,000 skills from companies like Starbucks, Uber, and Capital One as well as innovative designers and developers. You, too, can build engaging skills and reach millions of customers with the Alexa Skills Kit (https://developer.amazon.com/alexa-skills-kit) (ASK). ASK is a collection of self-service APIs, tools, documentation, and code samples that makes it fast and easy for you to add skills to Alexa. With ASK, you can leverage Amazon’s knowledge and pioneering work in the field of voice design. Attend this workshop to learn how to create compelling voice experiences (https://developer.amazon.com/alexa-skills-kit/vui) for Alexa. In this workshop, you’ll learn: • Introduction to Alexa Skills Kit • Introduction to basic concepts like intents, utterances, and slots • How to build your first skill • How to leverage AWS Lambda • How to set your skill up for successful certification Agenda: • Welcome and Intro to Alexa (20 mins) • What are Skills and How do they Work? (20 mins) • Building your first Skill! (40 mins) • Intents, Utterances, and Slots (20 mins) • Build a second skill! (40 mins) • Advanced concepts, persistence, states, SDK (20 mins) • Closing, and networking (20 mins) What should I do prior to arrival? • Sign up for an Amazon developer account (https://developer.amazon.com/alexa) • (free)Sign up for an Amazon Web Services (https://aws.amazon.com/) • (AWS) account (free but credit card required for signup)Download and install Node.js (https://nodejs.org/en/) • (optional, but recommended)Browse the Alexa GitHub repository (https://github.com/alexa) What should I bring? Your laptop and charger. Tablets do not provide the multi-tab capabilities you will want. Why should I learn to create Alexa skills? • With this workshop, you will learn about voice user interfaces (VUI) and will gain experience with three services: Amazon’s Alexa Skills Kit, AWS Lambda (part of Amazon Web Services), and the Node.js backend JavaScript framework. • Second, once certified, your new skill will be published in the Alexa skills store, so others can use it on devices with Alexa. • Finally, the way humans interact with machines is at an inflection point, and conversational artificial intelligence (AI) is at the center of the transformation. Alexa, the voice service that powers Amazon Echo, enables customers to interact with the world around them in a more intuitive way, using voice. Get ready for the future of user experience. About the Alexa Skills Kit Alexa (https://developer.amazon.com/alexa) is Amazon’s voice service and the brain behind millions of devices including Amazon Echo. Alexa provides capabilities, or skills, that enable customers to create a more personalized experience. There are now more than 10,000 skills from companies like Starbucks, Uber, and Capital One as well as innovative designers and developers. The Alexa Skills Kit (https://developer.amazon.com/alexa-skills-kit) (ASK) enables designers, developers, and brands to build engaging skills and reach millions of customers. ASK is a collection of self-service APIs, tools, documentation, and code samples that makes it fast and easy for you to add skills to Alexa. With ASK, you can leverage Amazon’s knowledge and pioneering work in the field of voice design. Learn more (https://developer.amazon.com/alexa-skills-kit) about the Alexa Skills Kit. About Galvanize: Galvanize is the premiere dynamic learning community for technology. With campuses located in booming technology sectors throughout the country, Galvanize provides a community for each the following: Education - part-time and full-time training in web development, data science, and data engineering Workspace - whether you’re a freelancer, startup, or established business, we provide beautiful spaces with a community dedicated to support your company’s growth Networking - events in the tech industry happen constantly in our campuses, ranging from popular Meetups to multi-day international conferences To learn more about Galvanize, visit galvanize.com (http://galvanize.com/). *Reminder: You must register for this event via Eventbrite (https://www.eventbrite.com/e/amazon-alexa-skill-development-workshops-san-francisco-tickets-36730855979?aff=LDS).

  • Cloudflare Presents: Web Acceleration 101

    Galvanize

    *Please register for this event via Eventbrite (https://www.eventbrite.com/e/cloudflare-presents-web-acceleration-101-tickets-39925107070?aff=LDSm). Is your website loading too slow? The load time of your website not only affects your search engine rankings, but is also correlated to the conversion rate on your site; Kyle Rush from the 2011 Obama for America campaign site showed a 3 second page load speed improvement increased on-site donations by 14% (resulting in over $34 million in donations). With websites now being accessed from an ever more diverse range of devices and platforms, it’s vital your online presence remains fast across the board. This talk will cover the realities of modern web acceleration and the best practice you can use to speed up your online presence; using caching, modern web protocols and on-site optimisations. Agenda 6:00pm: Doors open, food/beverages & networking 6:15pm: Talk kickoff 7:10pm: Talk conclusion - Post event discussion & networking 7:30pm: Event conclusion Prerequisites A basic familiarity with the command line, beginner-intermediate experience with JavaScript, and familiarity with JSON. Please bring your laptops. About the Speaker Jade Wang (http://linkedin.com/in/jadeqwang) is Head of Developer Relations at Cloudflare. Previously, she co-founded Sandstorm.io, and was employee #5 Meteor. Her Ph.D. is in neuroscience, she had been a post doctoral researcher at NASA Ames Research Center. In a past life, she's also a classically trained musician. About all Galvanize Programming: Galvanize is the premiere dynamic learning community for technology. With campuses located in booming technology sectors throughout the country, Galvanize provides a community for each the following: Education - part-time and full-time training in web development, data science, and data engineering Workspace - whether you’re a freelancer, startup, or established business, we provide beautiful spaces with a community dedicated to support your company’s growth Networking - events in the tech industry happen constantly in our campuses, ranging from popular Meetups to multi-day international conferences To learn more about Galvanize, visit galvanize.com (http://galvanize.com/). *Reminder: register for this event via Eventbrite (https://www.eventbrite.com/e/cloudflare-presents-web-acceleration-101-tickets-39925107070?aff=LDSm).

  • How to Become a Data Scientist: Galvanize Open House + Tour

    *Please register for this event via Eventbrite (https://www.eventbrite.com/e/how-to-become-a-data-scientist-galvanize-san-francisco-open-house-tour-tickets-37955443754?aff=learnDSmeetup). Interested in our Data Science Immersive program? Come for a visit in SF to check out our awesome learning space, ask questions of our Admissions Advisor, talk to our Career Services Manager, meet our instructors and decide if our program is right for you. We'll have 2 opportunities for campus tours: • Beginning of the session at 5:15 pm • Before the end of the session at 6:30 pm About Galvanize Data Science: Teaching Tomorrow's Data Scientists Galvanize gives you the tools, techniques, and fundamental concepts needed to make an impact as a data scientist. You'll apply problem-solving and creative thinking to real-world data sets, gaining experience across the data science stack: data munging, exploration, modeling, validation, visualization, and communication. Learn more about our 12-week Data Science Immersive Program (https://app.salesforceiq.com/r?target=59d539b7e4b0a5f48d6d8d76&t=AFwhZf16z6e4LvAlF7PRFlfLSjRqcLSKMculh1kfjsNV3FT6ar6ccEF9dQt2UIA3jpSRrmg_1GoHZvxweKvtoAYSqknMLxWXIhZi3f7LkCQ1LAO_Suaa_YWZnXDed4Y1Pb5CgrUmMfva). Have questions you want to ask before this event? Please reach out to our Admissions Advisor, Joy Meyouhas at [masked]. About all Galvanize Programming: Galvanize is the premiere dynamic learning community for technology. With campuses located in booming technology sectors throughout the country, Galvanize provides a community for each the following: Education - part-time and full-time training in web development, data science, and data engineering Workspace - whether you’re a freelancer, startup, or established business, we provide beautiful spaces with a community dedicated to support your company’s growth Networking - events in the tech industry happen constantly in our campuses, ranging from popular Meetups to multi-day international conferences To learn more about Galvanize, visit galvanize.com (http://galvanize.com/). *Reminder: register for this event via Eventbrite (https://www.eventbrite.com/e/how-to-become-a-data-scientist-galvanize-san-francisco-open-house-tour-tickets-37955443754?aff=learnDSmeetup).

  • How to Write a Cloudflare App

    Galvanize

    *Please register for this event via Eventbrite (https://www.eventbrite.com/e/how-to-write-a-cloudflare-app-tickets-39925303658?aff=LDSm). Cloudflare (https://www.cloudflare.com/) runs 10% of the Internet, boosting the performance and security of millions of websites. Many of you probably already use Cloudflare on your sites. We’re not talking about using Cloudflare though, we’re talking about building on top of it. As a developer, you can build apps which can be installed by the the millions of sites which rely on Cloudflare. You can even sell your apps; they can make you money every month. Your users can login or register to your service inside your app, get a real-time preview of your tool live on their site, and start paying you monthly all from within Cloudflare Apps (https://www.cloudflare.com/apps/). They can go from never having heard of you or your service to having it installed on their site, and paying you, in seconds. In this workshop, you will learn how to build a basic Cloudflare App, add it to the marketplace, and set your app up for success. Agenda 6:00pm: Doors open, food/beverages & networking 6:15pm: Talk kickoff 7:10pm: Talk conclusion - Post event discussion & networking 7:30pm: Event conclusion Prerequisites A basic familiarity with the command line, beginner-intermediate experience with JavaScript, and familiarity with JSON. Please bring your laptops. About the Speaker Jade Wang (http://linkedin.com/in/jadeqwang) is Head of Developer Relations at Cloudflare. Previously, she co-founded Sandstorm.io, and was employee #5 Meteor. Her Ph.D. is in neuroscience, she had been a post doctoral researcher at NASA Ames Research Center. In a past life, she's also a classically trained musician. About all Galvanize Programming: Galvanize is the premiere dynamic learning community for technology. With campuses located in booming technology sectors throughout the country, Galvanize provides a community for each the following: Education - part-time and full-time training in web development, data science, and data engineering Workspace - whether you’re a freelancer, startup, or established business, we provide beautiful spaces with a community dedicated to support your company’s growth Networking - events in the tech industry happen constantly in our campuses, ranging from popular Meetups to multi-day international conferences To learn more about Galvanize, visit galvanize.com (http://galvanize.com/). *Reminder: register for this event via Eventbrite (https://www.eventbrite.com/e/how-to-write-a-cloudflare-app-tickets-39925303658?aff=LDSm).

  • Introduction to Python for Data Science: Coding the Naive Bayes Algorithm

    *Save time at check-in by registering for this event via Eventbrite (https://www.eventbrite.com/e/introduction-to-python-for-data-science-coding-the-naive-bayes-algorithm-tickets-37950526045?aff=DS). About the Event: Data scientists need to know how to code, and Python is the most useful and versatile programming language for doing data science. In this practical data science Meetup, you’ll learn foundational skills for adding Python to your data science and analytics toolbox. A professional instructor from Galvanize’s Data Science Immersive program will guide you through writing your first machine learning algorithm (Naive Bayes) in Python from scratch. You'll learn how the algorithm works, where it can be used, and you'll get a chance to run it on real text data. You’ll leave this session equipped to start writing your own Python scripts to analyze data, and instructor recommendations about next steps to take on your pathway to data science. Prerequisites: This Meetup is for beginners and does not require prior programming experience or in-depth knowledge of statistics or probability. If you have never seen Python before, never fear! True beginners are welcome to come to listen, learn, and observe. If you've already got some familiarity with Python, that's wonderful! Participants who are familiar with concepts of data analysis, statistics, and probability will be better equipped to apply their skills after the conclusion of this meetup. We recommend installing anaconda (https://www.continuum.io/downloads) on your computer and quickly testing your ability to run a simple Python script (make a text file called my_script.py, type into it print("Hello"), and in Terminal try running python my_script.py). If you want to learn or review some Python basics beforehand to make the most of the event, we recommend checking out the free online book Think Python (http://greenteapress.com/wp/think-python/), and in particular reviewing: • Strings • Lists • Dictionaries • For loops • Functions What to Bring: Bring your laptop and charger. What we're doing will work on a Windows machine (Python being multi-platform), but support from our instructor can only be provided for Mac and Linux users. Light snacks will be provided. What You’ll Learn: • How to derive Bayes Theorem and why it's useful • How to derive the Naive Bayes algorithm from Bayes Theorem • How to read data files into Python and pull out simple text features • How to build a Naive Bayes classifier based on our extracted text features • How to evaluate how well our classifier performs in terms of accuracy, precision, recall, f1 score • Which resources you should next utilize to develop your skills Schedule: 6:00 pm – Doors open, Networking & Snacking 6:15 pm – Lesson Kickoff, Working with Python 6:45 pm – Introduction to supervised machine learning 7:15 pm - Introduction to the Naive Bayes algorithm 7:45 pm – Coding Naive Bayes in Python, classifying text data 9:00 pm – Wrap-Up and Additional Resources Meet Your Instructor: Dan Wiesenthal (http://linkedin.com/in/danwiesenthal) holds two degrees from Stanford University, an MS in Computer Science and a BS in Symbolic Systems. His passion, in a nutshell, is to combine sophisticated algorithms with user-friendly design. As a grad student, he pursued dual concentrations in Human Computer Interaction (HCI) and Artificial Intelligence (AI). With an undergrad background in linguistics, logic, cognitive psychology, and computer science, his research creatively wove together the fields of AI, HCI, Natural Language Processing, Network Analysis, and Machine Learning. For example, Dan, along with two good friends, published one of the first papers analyzing the flow of sentiment through large-scale networks. Since leaving academia, Dan has helped bring a series of early-stage startups from the 0 to 1 stage, going from initial database and server setup all the way through to the nth revision of algorithms for prediction, classification, recommendation, and more. In 2016 Dan joined Galvanize as a lead instructor in the Data Science Immersive in order to support the next generation of data scientists and push the needle on what it means to be a data scientist in industry. About Galvanize: Galvanize is the premiere dynamic learning community for technology. With campuses located in booming technology sectors throughout the country, Galvanize provides a community for each the following: Education - part-time and full-time training in web development, data science, and data engineering Workspace - whether you’re a freelancer, startup, or established business, we provide beautiful spaces with a community dedicated to support your company’s growth Networking - events in the tech industry happen constantly in our campuses, ranging from popular Meetups to multi-day international conferences To learn more about Galvanize, visit galvanize.com (http://galvanize.com/). *Reminder: register for this event via Eventbrite (https://www.eventbrite.com/e/introduction-to-python-for-data-science-coding-the-naive-bayes-algorithm-tickets-37950526045?aff=DS).

  • Amazon Alexa: Skill Development Workshops

    Galvanize

    *Please register for this event via Eventbrite (https://www.eventbrite.com/e/amazon-alexa-skill-development-workshops-san-francisco-tickets-36730855979?aff=LDS). Become an Amazon Alexa Skill Developer! Join a free workshop hosted by Galvanize and Amazon to learn more about building applications for Alexa! Students will learn to create applications for a voice user interface (VUI) and prepare for the jobs of tomorrow in AI, VUI design, and voice computing. What is Alexa? Alexa is Amazon’s voice service and the brain behind millions of devices including Amazon Echo. Alexa (https://developer.amazon.com/alexa) provides capabilities, or skills, that enable customers to create a more personalized experience. There are now more than 10,000 skills from companies like Starbucks, Uber, and Capital One as well as innovative designers and developers. You, too, can build engaging skills and reach millions of customers with the Alexa Skills Kit (https://developer.amazon.com/alexa-skills-kit) (ASK). ASK is a collection of self-service APIs, tools, documentation, and code samples that makes it fast and easy for you to add skills to Alexa. With ASK, you can leverage Amazon’s knowledge and pioneering work in the field of voice design. Attend this workshop to learn how to create compelling voice experiences (https://developer.amazon.com/alexa-skills-kit/vui) for Alexa. In this workshop, you’ll learn: • Introduction to Alexa Skills Kit • Introduction to basic concepts like intents, utterances, and slots • How to build your first skill • How to leverage AWS Lambda • How to set your skill up for successful certification Agenda: • Welcome and Intro to Alexa (20 mins) • What are Skills and How do they Work? (20 mins) • Building your first Skill! (40 mins) • Intents, Utterances, and Slots (20 mins) • Build a second skill! (40 mins) • Advanced concepts, persistence, states, SDK (20 mins) • Closing, and networking (20 mins) What should I do prior to arrival? • Sign up for an Amazon developer account (https://developer.amazon.com/alexa) • (free)Sign up for an Amazon Web Services (https://aws.amazon.com/) • (AWS) account (free but credit card required for signup)Download and install Node.js (https://nodejs.org/en/) • (optional, but recommended)Browse the Alexa GitHub repository (https://github.com/alexa) What should I bring? Your laptop and charger. Tablets do not provide the multi-tab capabilities you will want. Why should I learn to create Alexa skills? • With this workshop, you will learn about voice user interfaces (VUI) and will gain experience with three services: Amazon’s Alexa Skills Kit, AWS Lambda (part of Amazon Web Services), and the Node.js backend JavaScript framework. • Second, once certified, your new skill will be published in the Alexa skills store, so others can use it on devices with Alexa. • Finally, the way humans interact with machines is at an inflection point, and conversational artificial intelligence (AI) is at the center of the transformation. Alexa, the voice service that powers Amazon Echo, enables customers to interact with the world around them in a more intuitive way, using voice. Get ready for the future of user experience. About the Alexa Skills Kit Alexa (https://developer.amazon.com/alexa) is Amazon’s voice service and the brain behind millions of devices including Amazon Echo. Alexa provides capabilities, or skills, that enable customers to create a more personalized experience. There are now more than 10,000 skills from companies like Starbucks, Uber, and Capital One as well as innovative designers and developers. The Alexa Skills Kit (https://developer.amazon.com/alexa-skills-kit) (ASK) enables designers, developers, and brands to build engaging skills and reach millions of customers. ASK is a collection of self-service APIs, tools, documentation, and code samples that makes it fast and easy for you to add skills to Alexa. With ASK, you can leverage Amazon’s knowledge and pioneering work in the field of voice design. Learn more (https://developer.amazon.com/alexa-skills-kit) about the Alexa Skills Kit. About Galvanize: Galvanize is the premiere dynamic learning community for technology. With campuses located in booming technology sectors throughout the country, Galvanize provides a community for each the following: Education - part-time and full-time training in web development, data science, and data engineering Workspace - whether you’re a freelancer, startup, or established business, we provide beautiful spaces with a community dedicated to support your company’s growth Networking - events in the tech industry happen constantly in our campuses, ranging from popular Meetups to multi-day international conferences To learn more about Galvanize, visit galvanize.com (http://galvanize.com/). *Reminder: You must register for this event via Eventbrite (https://www.eventbrite.com/e/amazon-alexa-skill-development-workshops-san-francisco-tickets-36730855979?aff=LDS).