$299

[8-hr In-Person or Online Workshop] Continuously Train + Deploy Spark and T...

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Embassy Suites Santa Clara - Silicon Valley

2885 Lakeside Dr

Delegate Room

Santa Clara, CA 95054

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Description

**Everybody gets their own cloud-based TPU / GPU for the day!!

Note: There is now a webinar option for remote attendees of this event.

Register with Eventbrite and you will receive instructions.

You will still receive your GPU/TPU cloud instance as promised!

If you have any issues with this remote webinar option, please email help@pipeline.ai and we will help.

Workshop Title

Continuous Training and Deploying of High Performance, Serverless Spark ML and TensorFlow Models in Production with Jupyter, Spark ML, TensorFlow, Scikit-Learn, Kafka, Kubernetes, Istio, OpenFaaS, Prometheus, Grafana, Slack, and GPUs

Abstract

Using the latest advancements in real-time AI from the open source PipelineAI project, we will build a continuous, serverless model training and deployment pipeline using GPUs, Spark ML, TensorFlow, Kafka, Kubernetes, JupyterLab, and OpenFaaS.

Streaming data is generated in real-time from the other attendees using Slack to crowd-source the data labeling. This newly-labeled data is used to continuously train and deploy new models.

We will use OpenFaaS and Istio with Kubernetes to quickly - and safely - deploy the new models to a live production environment.

Similar to canary deployments of classic microservices, the new models are exposed to only a small amount of production traffic. Slowly, we will shift more traffic to the new models.

Using reinforcement learning, multi-armed bandits, and metrics from Prometheus/Grafana, live traffic is automatically routed to the winning models based on a given reward function such as MAXIMIZE(number of signups) or MINIMIZE(cost per prediction).

All demos run on a hybrid-cloud, open source, GPU-based, Kubernetes cluster optimized for the machine learning and artificial intelligence use cases that we commonly see at PipelineAI.

Bio

Chris Fregly is Founder and Applied AI Engineer at PipelineAI, a Real-Time Machine Learning and Artificial Intelligence Startup based in San Francisco.

He is also an Apache Spark Contributor, a Netflix Open Source Committer, founder of the Global Advanced Spark and TensorFlow Meetup, author of the O’Reilly Training and Video Series titled, "High Performance TensorFlow in Production with Kubernetes and GPUs."

Previously, Chris was a Distributed Systems Engineer at Netflix, a Data Solutions Engineer at Databricks, and a Founding Member and Principal Engineer at the IBM Spark Technology Center in San Francisco.

Prerequisites

Decent grasp of Computer Science.

A good night's sleep!

More Info

Web: http://pipeline.ai/workshops

Email: support@pipeline.ai

**Everybody gets their own cloud-based TPU / GPU for the day!!


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Date and Time

Location

Embassy Suites Santa Clara - Silicon Valley

2885 Lakeside Dr

Delegate Room

Santa Clara, CA 95054

View Map

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