How to Deliver PSO Cloud Discover: Machine Learning

Name: How to Deliver PSO Cloud Discover: Machine Learning
Price: 499.00 USD

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.

5 day course

Supporting material

Google Cloud Partner of the Year

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.

Jellyfish has recently been named a Google Cloud Specialisation Partner of the Year. This title recognises our commitment to provide world-leading Cloud-based Training solutions that help our clients succeed. We have been selected by Google to facilitate the delivery of this five-day course, and will 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 will run over five consecutive days. It can be delivered at 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 Scientists or Business Analysts 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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