Build Self-Service Dev/Test Environments with Google Cloud Platform & CloudBolt

Does your enterprise manage document workflows with several different form types? Document AI has got you covered so you can intelligently process your unstructured data or "dark data", including pdfs, images, and handwritten forms, to reduce the manual overhead of your document workflows. In this session, we will process sample forms in AI Platform notebooks to inspect data extraction and confidence scores. We will also go over the specialized parsers available on the Document AI platform and demo the Procurement DocAI solution which includes invoices, receipts, and more.

Explore the possibilities of Looker and Google Cloud tools in a session created for data scientists and data analysts who don't have machine learning experience. You'll learn how to automate the data pipeline building process, generate deeper insights, and empower your teams to use AI/ML models to help make faster data-driven decisions.

By 2025, an estimated 40 exabytes of storage capacity will be required for human genomic data—which means you'll need large scale data analytics processing to leverage it. Explore how Google Cloud, Dataproc, and the open source community can give you fast customized clusters, tools to accelerate genomic analysis, and new solutions to build the future of personalized medicine.

Source: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4494865/

Join experts from Google Cloud and Quantiphi to learn how to build an end-to-end solution for real-time fraud detection. You'll discover how trained models in BigQuery ML, predictions from Google Cloud's AI Platform, streaming pipelines in Dataflow, notifications on Pub/Sub, and operational management in Data Studio can all come together to identify and fight credit card fraud.

When you modernize your applications into containerized and microservice-style deployments, Google Kubernetes Engine (GKE) can make it easier to manage both the Kubernetes itself and the infrastructure it's running on. Get hands-on experience with GKE, learn best practices from our experts, and see how to manage workloads and clusters at scale so that you can optimize time and cost.

Explore Anthos and learn how you can securely build and deploy applications easily across on-prem, hybrid, and multi-cloud environments. You'll see how the Anthos platform can modernize apps quickly and establish operational consistency across Google Cloud's services. After that, you'll learn how to migrate existing workloads, build from scratch, automate configuration updates, integrate with CI/CD pipelines, and more.

How do you build demand forecasting models at scale with BigQuery and SQL? In this technical deep dive, Polong Lin (Developer Advocate, Google) will walk through how to train, evaluate and forecast inventory demand on retail sales data with BigQuery ML. He'll also demonstrate how to schedule model retraining on a regular basis so that your forecast models can stay up-to-date.

Get the ins and outs of Dialogflow CX and see the newest ways to build intelligent virtual agents, a.k.a. chat and voice bots. We will show and share best practices for deploying prebuilt agents, then learn how to get these agents ready for production with our validation tools and environments. And finally, discover how to elevate customer experience using analytics. Avail special offer to get started with a $600 credit for Dialogflow CX at https://cloud.google.com/dialogflow/pricing.

Take an up-close look at the fundamentals of Google Cloud and get started with the Google Cloud skills challenge. Tour the console and a variety of developer tools and compute options during a walkthrough of a lab in the Getting Started track of the skills challenge. Then dig into the cutting-edge capabilities that exist for data, AI, containers, virtual machines, and more. Haven’t signed up yet? Start your skills challenge today by registering at g.co/cloud/skillschallenge

Explore the strengths of different Google Cloud tools, including Compute Engine, Kubernetes, and App Engine, and see how to deploy them whether you're dealing with existing containers or starting a new containerization strategy from scratch.

Learn how Virtual Machines and Virtual Networks work inside Google Cloud.

Learn how Google Cloud is organized, how its tools impact the entire cloud computing landscape, and how it’s designed for flexibility and efficiency.

Hear from members of the team who developed the exam about how this certification differs from others in the Google Cloud Certified program and how to best prepare.

Register now and get free access to a series of hands-on labs to jumpstart your learning and preparation for this exam. All webinar attendees will also receive a voucher to take a course on Coursera for free.

Go behind the scenes of the new “Machine Learning with TensorFlow on Google Cloud Platform” specialization on Coursera, which will teach you how to build production-ready machine learning models. During this webinar, Lak Lakshmanan, Google Cloud Machine Learning expert, will preview some of the Machine Learning techniques you will learn, walk through a demo of how to debug TensorFlow programs, and share insights on the exciting field of Machine Learning. Register now and get free access to a Machine Learning lab to jumpstart your learning. All webinar attendees will also receive a free voucher to take the first course of the Coursera specialization for free.

The webinar will introduce how and why to build IoT solutions in Python using Zerynth and Google Cloud IoT. Zerynth provides a software development suite that enables programming firmware in Python on 32-bit Microcontrollers and easy connectivity to IoT Clouds.
The live coding session will include:

- how to run multithreading Python scripts on a generic microcontroller powered by Zerynth;
- how to use Python to read data from analog and digital sensors attached to a microcontroller powered by Zerynth;
- how to use Python to easily exchange data between an Espressif ESP32 board powered by Zerynth and Google Cloud IoT.

During this webinar you will learn:
- how microcontrollers are used in IoT and Industrial IoT applications (e.g. ESP32)
- why programming microcontrollers in Python or hybrid C/Python using Zerynth
- how to connect them to Google Cloud IoT Core and exchange data with it

Join cloud and desktop virtualization experts from Google Cloud, Forrester and itopia as well as top IT professionals to dive deeper into the key trends and technologies shaping desktop virtualization and the delivery of remote applications in 2018.

With the explosion of cloud desktop and RemoteApp solutions it is becoming harder for organizations to cut through the noise and implement the best solution for their business. Learn the key considerations every IT department should focus on when evaluating cloud desktop providers and why desktop virtualization using hyperscale clouds is the secret to delivering the flexibility, performance and price modern businesses demand.