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How to Deliver PSO Cloud Discover: Machine Learning

Do you want to understand how to map your customer’s journey to the cloud with machine learning? Learn about the concepts and how to solve business challenges on this in-depth workshop.
product
3 day course
Supporting material
Virtual, Private
Virtual Classroom
A convenient and interactive learning experience, that enables you to attend on of our courses from the comfort of your own home or anywhere you can log on. We offer Virtual Classroom on selected live classroom courses where this will appear as an option under the location drop down if available. These can also be booked as Private Virtual Classrooms for exclusive business sessions.
Private
A private training session for your team. Groups can be of any size, at a location of your choice including our training centres.

Led by one of our experienced practitioners you’ll learn how to deliver the Cloud Discover: Machine Learning service offering to your customers.

As a trusted Google Cloud partner, Jellyfish has been selected by Google to facilitate the delivery of this five day course. We’ll deliver an interactive workshop covering a machine learning (ML) overview, use case identification, interviews with key stakeholders, and data qualification.

Following the workshop, we’ll share a final report with recommendations for the customer’s learning journey.

In this course you will experience the delivery of a Cloud Discover: Machine Learning workshop and develop potential machine learning use cases based on a customer profile.

The goal is to help you survey your customers’ business challenges for machine learning use cases and determine which ones are realistic and achievable, which can give them the confidence to move forward with a formal Google Cloud project.

This course is offered as a private training session and can be delivered at our own training venue in the World Trade Center, Barcelona, any location of your choice or via Virtual Classroom.

Course overview
Who should attend:

This course is aimed at Google Cloud Partners in the following relevant job roles: Cloud consultants, Technical Project Leads, Cloud Architects, Deployment Engineers, Customer Success Managers and Technical Account Managers.

Data Scientist or Business Analyst who are involved in the delivery of machine learning projects will also benefit from attending this course.

Walk away with the ability to:
  • Facilitate a machine learning use case ideation workshop
  • Determine whether the suggested ML use case is feasible with the available date
  • Rate each use case for technical feasibility using data exploration
  • Deliver an end of engagement summary report that encapsulates use cases, customer interviews and recommendations
Prerequisites:

Before attending this course you need to be a Google Certified Professional, either certified in Cloud Architect or Data Engineer. You will need to have access to Cloud Connect - Partners and should have completed the Introduction to PSO Methodology online training.

It’s recommended you have some prior knowledge of machine learning concepts and have completed the Data and Machine Learning training.

Course agenda
Module 1: Cloud Discover: Machine Learning – Overview
  • Why Cloud Discover: ML?
  • When to do Cloud Discover: ML?
  • Who are the key participants?
  • What is the scope of the service offering?
Module 2: Machine Learning overview
  • Machine learning lifecycle
  • Principles of Innovation at Google
  • What is machine learning?
  • The importance of data
Module 3: Cloud Discover Ideation Exercise
  • Business problem and use case identification
  • Positioning business challenges based on feasibility
  • Brainstorming ML use cases
  • Categorizing the ML use cases
  • Assessing business value of implementation
Module 4: Data Exploration
  • Data understanding and transformation
  • Identifying data sources
  • Data SME interviews
  • Data qualification
Module 5: Analysis and Recommendations
  • Overview of summary report
  • Qualification and analysis of top use cases
  • Create recommendations and comparison chart for summary report
Module 6: Next Steps and Wrap-up
  • Overview of Cloud Deploy: Machine Learning for Minimum Viable Model (MVM)
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