1/2 day course 
Supporting material 
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The best way to work with your cloud developers and AI specialists is to speak their language; specifically by getting hands-on experience with the tools they use to strengthen your understanding of what you need to achieve your goals.
This half-day lab will teach you everything you need to know about the tools that make up Google Cloud - from well-known ones such as Workspace, to lesser known tools such as Vertex AI, which powers Machine Learning.
We’ll go on to look at tools which actually make machine learning accessible to non-developers. Once you’ve seen how they work, you’ll be able to start getting your team to use them and bring more people on board.
Towards the end of the session, we’ll have fun running experiments. We’re already used to experimentation and testing; so it’s time to take that to the next level using BigQuery data and building Looker Studio results dashboards.
This Google Cloud for Marketing Specialists course is available as a private training session that can be delivered via Virtual Classroom or at a location of your choice in the US.
Course overview
Who should attend:
This course is ideal for:
- CMOs
- CTOs
- Creatives
- Marketing professionals
- Senior business leaders
- SMB owners who perform their own marketing
What you'll learn:
By the end of this course, you will be able to:
- Describe the essential tools within the Google Cloud environment
- Work with Google Cloud Developers by talking the language of Vertex AI
- Create a simple machine learning model using AutoML
- Write an experiment
- Report on experiment results on Looker Studio using data from BigQuery
Prerequisites
This lab is for participants who understand the fundamentals. If you don’t, you could get left behind. You might benefit from taking our GenAI for Marketers: Fundamentals course beforehand.
Course agenda
- Introduction to Google Cloud Platform services
- Network resources
- Storage services
- Analytics and machine learning products and tools
- Introduction to Vertex AI
- Machine learning with BigQuery
- Machine learning with AutoMl
- Demo creating, training and deploying ML models using BQML
- Features of BigQuery as a Data Analytics Engine
- Using interactive query tools to perform data exploration and experimentation
- Visualization tools in Google Cloud
- Query large datasets and pass to Looker Studio for visualisation
Next Steps:
Consider taking the following courses to further your GenAI knowledge: