• Containerized Architectures for Deep Learning +KubeFlow, TFX, TensorFlow,Airflow

    Online Workshop - See Details Below

    Agenda Talk 1: Containerized Architectures for Deep Learning Container and cloud native technologies around Kubernetes have become the de facto standard in modern ML and AI application development. And while many data scientists and engineers tend to focus on tools, the platform that enables these tools is equally important and often overlooked. Let’s examine some common architecture blueprints and popular technologies used to integrate AI into existing infrastructures, and learn how you can build a production-ready containerized platform for deep learning. In particular, she explores Docker and Kubernetes, with its associated cloud native technologies, and its use and advantages in ML/AI environments. Talk 2: Hands-on Learning with KubeFlow, TFX, TensorFlow, GPU/TPU, Kafka, Scikit-Learn and JupyterLab running on Kubernetes. Date/Time 9-10am US Pacific Time (Third Monday of Every Month) ** RSVP & LOGIN HERE ** Eventbrite: https://www.eventbrite.com/e/1-hr-free-workshop-pipelineai-gpu-tpu-spark-ml-tensorflow-ai-kubernetes-kafka-scikit-tickets-45852865154 Meetup: https://www.meetup.com/Advanced-KubeFlow/ Zoom: https://zoom.us/j/690414331 Webinar ID:[masked] Phone: [masked] (US Toll) or [masked] (US Toll) Related Links PipelineAI Home: https://pipeline.ai PipelineAI Community Edition: https://community.pipeline.ai PipelineAI GitHub: https://github.com/PipelineAI/pipeline PipelineAI Quick Start: https://quickstart.pipeline.ai Advanced KubeFlow Meetup (SF-based, Global Reach): https://www.meetup.com/Advanced-KubeFlow/ YouTube Videos: https://youtube.pipeline.ai SlideShare Presentations: https://slideshare.pipeline.ai Slack Support: https://joinslack.pipeline.ai Email Support: [masked]

  • AI NEXTCon Developers Conference 2019 - Machine/Deep Learning, NLP, ML Pipelines

    25 free tickets (Basic Pass) for our members to attend this 4-day event! RSVP: http://aisf19.xnextcon.com/ with code AICAMP531 Note: Basic Pass allows you to attend keynotes, tech talks sessions, google AI training session and expo hall, but NO access to food, snack/drink, wifi, or sessions slides/recordings. If you want to fully enjoy the conference, please purchase the other type of tickets (10% off, use code: ADVANCEDSPARK). 4-days, 50+ tech lead speakers, 60+ tech talks, hands-on workshop/code labs, immersive AI trainings. presented by engineering teams from Microsoft Amazon Uber Airbnb Pinterest Google Facebook Twitter Linkedin, Nvidia, Intel, etc... Featured Speakers: * Chris Fregly, Founder @ PipelineAI * Michael Jordan, Distinguished Professor from UC Berkeley * Danny Lange, VP of AI from Unity Technologies * Lukasz Kaiser, Sr Research Scientist from Google Brain * Anoop Deoras, Lead AI Researcher from Netflix * Ted Way, Machine Learning Researcher from Microsoft * Anish Sarma, Engineer Manager from Airbnb * Cibele Halasz, Sr. Machine Learning Engineer from Twitter * Matt Feiszli, Research Scientist, Facebook * Rui Wang, AI Researcher, Uber AI * Daniel Hill, Sr. Applied Scientist, Amazon and more .... If you are a developer looking to hone your skills, a tech lead and manager to learn latest AI tech that apply to your engineering teams to innovate products and services, or someone who just wants to learn more about the AI industry that's re-shaping the tech world, the AI NEXTCon is right for you. Now it's 9th edition, AI NEXTCon is specially geared to developers, data scientists to share, learn, and practice AI technology and how applying AI to innovate products and services, solve engineering problems. The conference features a blend of inspirational keynotes, deep dive tech talks, hands-on workshops, tools/framework live demo, networking opportunity with like minded developers. Official Website: http://aisf19.xnextcon.com Date: *Main Conference: 10/8~9, 2019 *Hands-on Workshop: 10/10~11, 2019 *Deep Learning Training: 10/10~11, 2019 Topics/Tracks: *Computer Vision *NLP *Machine Learning *Deep Learning and tools *AutoML * Machine Learning in Production / lifecycle Best Price (starting at just $349) is available for a limited time. Additional 10% off discount for members, with code: ADVANCEDSPARK. RSVP: http://aisf19.xnextcon.com/ The Organizer: AICamp, with the mission of “Make AI available to all developers”, is a global online AI learning platform for developers, engineers, data scientists to learn and practice AI technology. We’re one of largest AI developers communities with 90,000+ developers word wide in the group, and have 40+ local learning groups in 40+ cities from 10+ countries. Online AI learning platform: https://learn.xnextcon.com AI Developers Conference (Seattle, NYC, San Francisco, Beijng): http://www.xnextcon.com

  • [10% OFF] Zero to Deep Learning 5 day Bootcamp - San Francisco

    San Francisco State University

    Apply here: http://bit.ly/2ZlArAR 10% discount code: SPARK10OFF Zero to Deep Learning Bootcamp A 5 day full time training that brings you from Zero to Deep Learning® with Keras and Tensorflow 2.0. !!!All code updated to Tensorflow 2.0!!! 5 full days of Knowledge and Skill You’ll get versed in Data Visualization, Machine Learning, and Deep Learning. These are the elements that come together to make driverless cars, to recognize faces, to market products, and to drive big decisions from big data. Why Zero to Deep Learning? If you need to learn the foundations of Machine Learning and Deep Learning comprehensively and quickly, our 5-day Bootcamp is for you. It balances breadth and depth, and delivers you an immersive full-time introduction to cutting-edge ML and DL techniques using Python, Keras and Tensorflow. Who should attend? Software Engineers, Software Engineering Managers, and Data Analysts seeking to upskill in Machine Learning & Deep Learning. Machine Learning with Scikit: • Recognize where to use ML • Select best techniques • Manipulate data with Pandas • Visualize data with Matplotlib • Solve regressions & classifications • Evaluate model performance • Serve models with Flask & Heroku Deep Learning with Keras: • Understand DL fundamentals • Build Fully Connected Neural Networks • Train Convolutional Neural Networks • Design Recurrent Neural Networks • Discover Embeddings • Leverage Dropout & Batch Norm • Use GPUs to train faster Deep Learning with Tensorflow: • Discover why TensorFlow is popular • Turn Keras models into Estimators • Debug models with Eager Execution • Scale to large dataset with Data API • Learn about Core API • Tune performance with Tensorboard • Deploy models using cloud services You will Build: • Predict the price of a house • Detect language of a text • Recognize an object in an image • Classify the sentiment in a sentence • Forecast future energy consumption • Deploy an API that predicts phone location from wifi signal Why attend this Bootcamp • To quickly develop your practical skills in Machine and Deep Learning • You’re stuck with online training and want to develop your practical skills • 5 dedicated days to focus on learning ML and DL • You work in a company where ML and DL is becoming increasingly important, and you need to develop a relevant skill set • You are working in a project, or have an upcoming project which requires ML and DL skills • You are a manager and need a robust understanding of ML and DL to manage your team • Want to access new career opportunities or promotions Lead Instructor Francesco is the author of the Zero to Deep Learning book and founder of Catalit Data Science. He works at the cutting edge of Machine and Deep Learning training. Clients include both startups and Fortune 500s. His experience includes: • Lead Data Science instructor at General Assembly and The Data Incubator • Trainer at conferences including Pybay, ODSC, TDWI, AINext • Chief Data Officer and co-founder at Spire, a YC company that invented the first wearable device tracking breathing • Joint PhD in biophysics at University of Padua and Université de Paris VI What is included in the price? • 5-days in-person training led by Francesco Mosconi, expert ML and DL trainer • Customized hands-on labs developed to maximize your learning • Ability to download your labs at the end of the training • Access to a cloud GPU during the training and for 2-weeks afterwards • Expert advisory on your project between 5-6pm Mon-Thurs of the Bootcamp • Self-directed pre-work program to develop your Python skills (if required) • Live Slack support during the Bootcamp • Membership of the Zero to Deep Learning Slack and Facebook community • One copy of the Zero to Deep Learning book • Breakfast, lunch, all-day refreshments • A really fun 5-days! Prerequisites: 1 year of experience in Python Apply here: http://bit.ly/2ZlArAR 10% discount code: SPARK10OFF

  • KubeFlow +Keras/TensorFlow 2.0 +TF Extended (TFX) +Kubernetes +Airflow +PyTorch

    Online Workshop - See Details Below

    **Title** Hands-on Learning with KubeFlow + Keras/TensorFlow 2.0 + TF Extended (TFX) + Kubernetes + PyTorch + XGBoost + Airflow + MLflow + Spark + Jupyter + TPU RSVP: https://www.eventbrite.com/e/full-day-workshop-kubeflow-kerastensorflow-20-tf-extended-tfx-kubernetes-pytorch-xgboost-airflow-tickets-63362929227 **Description** In this workshop, we build real-world machine learning pipelines using TensorFlow Extended (TFX), KubeFlow, and Airflow. Described in the 2017 paper, TFX is used internally by thousands of Google data scientists and engineers across every major product line within Google. KubeFlow is a modern, end-to-end pipeline orchestration framework that embraces the latest AI best practices including hyper-parameter tuning, distributed model training, and model tracking. Airflow is the most-widely used pipeline orchestration framework in machine learning. **Pre-requisites** Modern browser - and that's it! Every attendee will receive a cloud instance Nothing will be installed on your local laptop Everything can be downloaded at the end of the workshop **Location** Online **Agenda** 1. Create a Kubernetes cluster 2. Install KubeFlow, Airflow, TFX, and Jupyter 3. Setup ML Training Pipelines with KubeFlow and Airflow 4. Transform Data with TFX Transform 5. Validate Training Data with TFX Data Validation 6. Train Models with Jupyter, Keras/TensorFlow 2.0, PyTorch, XGBoost, and KubeFlow 7. Run a Notebook Directly on Kubernetes Cluster with KubeFlow 8. Analyze Models using TFX Model Analysis and Jupyter 9. Perform Hyper-Parameter Tuning with KubeFlow 10. Select the Best Model using KubeFlow Experiment Tracking 11. Reproduce Model Training with TFX Metadata Store and Pachyderm 12. Deploy the Model to Production with TensorFlow Serving and Istio 13. Save and Download your Workspace **Key Takeaways** Attendees will gain experience training, analyzing, and serving real-world Keras/TensorFlow 2.0 models in production using modern frameworks and open-source tools. RSVP: https://www.eventbrite.com/e/full-day-workshop-kubeflow-kerastensorflow-20-tf-extended-tfx-kubernetes-pytorch-xgboost-airflow-tickets-63362929227

  • TWIMLcon - AI Platforms Conference - Oct 1 & 2 - San Francisco - 20% OFF!

    RSVP: https://twimlcon.com/register/ Use SPARKMU20 to get 20% off! I want to share with you a new conference focused on the platforms, tools, technologies, and practices necessary to enable and scale machine learning and AI in the enterprise. It’s called TWIMLcon: AI Platforms, to be held October 1-2,, 2019 at Mission Bay Conference Center in San Francisco, CA. I will be attending, and believe your participation in the Summit would be beneficial. I am pleased to provide you with a discount code, applicable for a full access pass to the conference. About TWIMLcon: AI Platforms TWIMLcon will offer real world, practical discussions that help you grow your knowledge, skills and career, plus great opportunities to share, learn and connect with a community of like minded data science, machine learning, platform engineering and MLOps practitioners and leaders. Some of the topics include: Overcoming the barriers to getting ML and DL models into production How to apply ideas like AutoML, MLOps and DevOps to your machine learning workflow Experiences and lessons learned in delivering platform and infrastructure support for data management, experiment management, and model deployment Platform deployment stories from leading tech companies and traditional enterprises Organizational and cultural best practices for success TWIMLcon: AI Platforms is brought to you by the team behind the TWIML AI Podcast (a.k.a. This Week in Machine Learning & AI). The conference has its roots in a series of interviews on the topic of AI Platforms published back in the fall of 2018. The series—which featured interviews with ML Platforms and Infrastructure engineers and leaders from Facebook, Airbnb, LinkedIn, OpenAI, Shell and Comcast—resonated very strongly with listeners and remains one of our most popular series to this day. We hope you’ll join us for what is shaping up to be an important community event. RSVP: https://twimlcon.com/register/ Use SPARKMU20 to get 20% off!

  • PipelineAI, KubeFlow, TFX, GPU/TPU, Spark, TensorFlow, Kubernetes, Kafka, Scikit

    Online Workshop - See Details Below

    Title [1 hr Free Workshop] PipelineAI, KubeFlow, TensorFlow Extended (TFX), Airflow, GPU, TPU, Spark ML, TensorFlow AI, Kubernetes, Kafka, Scikit Agenda Hands-on Learning with PipelineAI using KubeFlow, TFX, TensorFlow, GPU/TPU, Kafka, Scikit-Learn and JupyterLab running on Kubernetes. Date/Time 9-10am US Pacific Time (Third Monday of Every Month) ** RSVP & LOGIN HERE ** Eventbrite: https://www.eventbrite.com/e/1-hr-free-workshop-pipelineai-gpu-tpu-spark-ml-tensorflow-ai-kubernetes-kafka-scikit-tickets-45852865154 Meetup: https://www.meetup.com/Advanced-Spark-and-TensorFlow-Meetup/ Zoom: https://zoom.us/j/690414331 Webinar ID:[masked] Phone: [masked] (US Toll) or [masked] (US Toll) Related Links PipelineAI Home: https://pipeline.ai PipelineAI Community Edition: https://community.pipeline.ai PipelineAI GitHub: https://github.com/PipelineAI/pipeline PipelineAI Quick Start: https://quickstart.pipeline.ai Advanced Spark and TensorFlow Meetup (SF-based, Global Reach): https://www.meetup.com/Advanced-Spark-and-TensorFlow-Meetup YouTube Videos: https://youtube.pipeline.ai SlideShare Presentations: https://slideshare.pipeline.ai Slack Support: https://joinslack.pipeline.ai Web Support and Knowledge Base: https://support.pipeline.ai Email Support: [masked]

  • KubeFlow +Keras/TensorFlow 2.0 +TF Extended (TFX) +Kubernetes +Airflow +PyTorch

    Online Workshop - See Details Below

    **Title** Hands-on Learning with KubeFlow + Keras/TensorFlow 2.0 + TF Extended (TFX) + Kubernetes + PyTorch + XGBoost + Airflow + MLflow + Spark + Jupyter + TPU RSVP: https://www.eventbrite.com/e/full-day-workshop-kubeflow-kerastensorflow-20-tf-extended-tfx-kubernetes-pytorch-xgboost-airflow-tickets-63362929227 **Description** In this workshop, we build real-world machine learning pipelines using TensorFlow Extended (TFX), KubeFlow, and Airflow. Described in the 2017 paper, TFX is used internally by thousands of Google data scientists and engineers across every major product line within Google. KubeFlow is a modern, end-to-end pipeline orchestration framework that embraces the latest AI best practices including hyper-parameter tuning, distributed model training, and model tracking. Airflow is the most-widely used pipeline orchestration framework in machine learning. **Pre-requisites** Modern browser - and that's it! Every attendee will receive a cloud instance Nothing will be installed on your local laptop Everything can be downloaded at the end of the workshop **Location** Online **Agenda** 1. Create a Kubernetes cluster 2. Install KubeFlow, Airflow, TFX, and Jupyter 3. Setup ML Training Pipelines with KubeFlow and Airflow 4. Transform Data with TFX Transform 5. Validate Training Data with TFX Data Validation 6. Train Models with Jupyter, Keras/TensorFlow 2.0, PyTorch, XGBoost, and KubeFlow 7. Run a Notebook Directly on Kubernetes Cluster with KubeFlow 8. Analyze Models using TFX Model Analysis and Jupyter 9. Perform Hyper-Parameter Tuning with KubeFlow 10. Select the Best Model using KubeFlow Experiment Tracking 11. Reproduce Model Training with TFX Metadata Store and Pachyderm 12. Deploy the Model to Production with TensorFlow Serving and Istio 13. Save and Download your Workspace **Key Takeaways** Attendees will gain experience training, analyzing, and serving real-world Keras/TensorFlow 2.0 models in production using modern frameworks and open-source tools. RSVP: https://www.eventbrite.com/e/full-day-workshop-kubeflow-kerastensorflow-20-tf-extended-tfx-kubernetes-pytorch-xgboost-airflow-tickets-63362929227

  • [10% OFF] Zero to Deep Learning 5 day Bootcamp - San Francisco

    San Francisco State University

    Apply here: http://bit.ly/2Zs1PbB 10% discount code: SPARK10OFF Zero to Deep Learning Bootcamp A 5 day full time training that brings you from Zero to Deep Learning® with Keras and Tensorflow 2.0. !!!All code updated to Tensorflow 2.0!!! 5 full days of Knowledge and Skill You’ll get versed in Data Visualization, Machine Learning, and Deep Learning. These are the elements that come together to make driverless cars, to recognize faces, to market products, and to drive big decisions from big data. Why Zero to Deep Learning? If you need to learn the foundations of Machine Learning and Deep Learning comprehensively and quickly, our 5-day Bootcamp is for you. It balances breadth and depth, and delivers you an immersive full-time introduction to cutting-edge ML and DL techniques using Python, Keras and Tensorflow. Who should attend? Software Engineers, Software Engineering Managers, and Data Analysts seeking to upskill in Machine Learning & Deep Learning. Machine Learning with Scikit: • Recognize where to use ML • Select best techniques • Manipulate data with Pandas • Visualize data with Matplotlib • Solve regressions & classifications • Evaluate model performance • Serve models with Flask & Heroku Deep Learning with Keras: • Understand DL fundamentals • Build Fully Connected Neural Networks • Train Convolutional Neural Networks • Design Recurrent Neural Networks • Discover Embeddings • Leverage Dropout & Batch Norm • Use GPUs to train faster Deep Learning with Tensorflow: • Discover why TensorFlow is popular • Turn Keras models into Estimators • Debug models with Eager Execution • Scale to large dataset with Data API • Learn about Core API • Tune performance with Tensorboard • Deploy models using cloud services You will Build: • Predict the price of a house • Detect language of a text • Recognize an object in an image • Classify the sentiment in a sentence • Forecast future energy consumption • Deploy an API that predicts phone location from wifi signal Why attend this Bootcamp • To quickly develop your practical skills in Machine and Deep Learning • You’re stuck with online training and want to develop your practical skills • 5 dedicated days to focus on learning ML and DL • You work in a company where ML and DL is becoming increasingly important, and you need to develop a relevant skill set • You are working in a project, or have an upcoming project which requires ML and DL skills • You are a manager and need a robust understanding of ML and DL to manage your team • Want to access new career opportunities or promotions Lead Instructor Francesco is the author of the Zero to Deep Learning book and founder of Catalit Data Science. He works at the cutting edge of Machine and Deep Learning training. Clients include both startups and Fortune 500s. His experience includes: • Lead Data Science instructor at General Assembly and The Data Incubator • Trainer at conferences including Pybay, ODSC, TDWI, AINext • Chief Data Officer and co-founder at Spire, a YC company that invented the first wearable device tracking breathing • Joint PhD in biophysics at University of Padua and Université de Paris VI What is included in the price? • 5-days in-person training led by Francesco Mosconi, expert ML and DL trainer • Customized hands-on labs developed to maximize your learning • Ability to download your labs at the end of the training • Access to a cloud GPU during the training and for 2-weeks afterwards • Expert advisory on your project between 5-6pm Mon-Thurs of the Bootcamp • Self-directed pre-work program to develop your Python skills (if required) • Live Slack support during the Bootcamp • Membership of the Zero to Deep Learning Slack and Facebook community • One copy of the Zero to Deep Learning book • Breakfast, lunch, all-day refreshments • A really fun 5-days! Prerequisites: 1 year of experience in Python Apply here: http://bit.ly/2Zs1PbB 10% discount code: SPARK10OFF

  • The O'Reilly AI Conference - San Jose - 20% Discount and FREE EXPO PLUS PASS

    RSVP: https://conferences.oreilly.com/artificial-intelligence/ai-ca Use discount code PCAAST for 20% Off FULL PASS. Use discount code EXPLUSPC for FREE EXPO PASS! Where tech and business come together to push the boundaries of AI. AI is poised to transform every industry—and you're either on the bus or you're not. O'Reilly AI focuses on how your company can identify opportunities and develop strategies to implement AI systems now. It's the best place to focus on the intersection of technical content and industry application. So join us—and don't get left behind. Together, Conference Chairs Ben Lorica (O’Reilly), Julie Shin Choi (Intel) and Roger Chen (Computable Labs), along with Honorary Co-Chairs Tim O’Reilly (O’Reilly) and Peter Norvig (Google), have created a conference program designed to help organizations successfully apply AI from both a business and technical perspective, covering emerging AI techniques and technologies. Featured speakers include: Anuradha Gali, Uber Paige Bailey, Google Francesca Lazzeri, Microsoft Roshan Sumbaly, Facebook Michael Radwin, Intuit Hagay Lupesko, Amazon Web Services Haixun Wang, WeWork Mike Jordan, University of California, Berkeley Yi Zhang, Rulai and University of California Santa Cruz Alex Ratner, Snorkel AI In advance of the conference, O’Reilly will release a report, “How Organizations are Sharpening their Skills to Better Understand and Use AI,” that explores the data- and AI-related topics technology experts are most interested in. The report, authored by Lorica, found that overall content usage across all topics, grew 8 percent from 2018 to 2019 (January to July). Among the fastest-growing topics were those central to building AI applications: machine learning (up 58% from 2018), data science (up 53%), data engineering (up 58%) and AI itself (up 52%), indicating that companies and individuals are taking AI training and adoption seriously. “AI is poised to transform every industry, and as the technology moves beyond research, implementation becomes increasingly important," said Lorica. “Through our partnership with Intel, the AI Conference presents a unique opportunity for organizations to identify opportunities and develop strategies to practically and profitably apply AI systems to their businesses today.” O’Reilly and Intel will also host the second annual AI Business Summit, taking place in conjunction with the conference. Designed specifically for executives, business leaders and strategists, the four-day event provides concise, high-level executive briefings on the most promising and important developments in AI for business. Registration for the AI Conference is now open, and a limited number of media passes are available for qualified journalists and analysts. For questions regarding media credentials, contact Gina Devine at [masked]. For media queries or scheduling interviews, contact [masked]. Follow @OReillyAI or #OReillyAI on Twitter for the latest news and updates. RSVP: https://conferences.oreilly.com/artificial-intelligence/ai-ca Use discount code PCAAST for 20% Off FULL PASS. Use discount code EXPLUSPC for FREE EXPO PASS!

  • Global Big Data, AI, and Blockchain Conference - Santa Clara - 20% Off

    Santa Clara Convention Center

    RSVP with 20% Off: https://www.eventbrite.com/e/7th-annual-global-big-data-conference-santa-clara-august-2019-tickets-61012645465?discount=MEETUPGBDC20 Location : Santa Clara Convention Center, 5001 Great America Parkway, Santa Clara, CA 95054 Global Big Data Conference, the leading vendor agnostic conference for the Big Data (Hadoop, Apache Spark, IoT, Security, NoSQL, Data Science, Machine Learning, Deep Learning, Artificial Intelligence & Predictive Analytics) community, is now announcing its seventh annual event (Aug 20 - Aug[masked]). 3,000 Attendees 1,250 Companies 125 Speakers 80 Sessions 9 Tracks 8 Startup Pitches 8 Keynotes Sessions 6 Hands-On Workshops If you work with or plan to work with Big Data/AI/Blockchain , don’t miss 7th Annual Global Big Data Conference - Aug 20-22 –where you’ll find: Keynote Speakers: Innovation: Up, Up and Away! Superpowers needed for out of this world innovative culture (Sandra Carter, VP Technologies, Amazon) Responsible AI (Ron Bodkin, Director Engineering, Google) Machine Learning for Industrial IOT (Ashok Banerjee, CTO, Symantec) AI is a Waste of Money. (Arijit Sengupta, CEO, AIble) Keynote Panels: Keynote Panel - Finance Track: AI in Finance Keynote Panel: Solving Business Problems with AI Keynote Panel : AI in Retail/E-Commerce Keynote Panel : AI from Investment perspective (Room 203) Keynote Panel: AI in Healthcare AI Startup Pitch Judges: Raviraj Jain (Partner, Lightspeed Venture Partners) Prakash Muppirala (CTO & President, Restoration Hardware Inc) Suresh K. Sharma (Managing Partner, Open Range Capital Partners) Srini Gurrapu (Vice President, Apple) If you have any questions, please do not hesitate to contact [masked] or Call:[masked] RSVP with 20% Off: https://www.eventbrite.com/e/7th-annual-global-big-data-conference-santa-clara-august-2019-tickets-61012645465?discount=MEETUPGBDC20