TRAINING WORKSHOP

Google Cloud Data & GenAI Fundamentals

Join DoiT for an instructor-led workshop on Data and Generative AI on Google Cloud. Diego Munoz, Senior Cloud Architect, will take you through products and services on Google Cloud that will help you get started with GenAI on Google Cloud.

 

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Dec 12-13, 2024
9 am - 3 pm BST
10 am - 4 pm CET
11 am - 5 pm IST
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Virtual Workshop

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About this workshop

Whether you are just beginning your journey into GenAI on Google Cloud or have an experienced ML/Data Science team that is eager to see what’s out there, our training workshop will give you an introduction and the confidence to pursue GenAI on Google Cloud.

This two-day course introduces the concept of GenAI on Google Cloud and explores its use cases, implementation challenges and best practices for adoption.

At the end of this course, you will come away with knowledge of how to:

  • Identify use cases for Generative-AI in the Cloud.
  • Learn the different options available to you in the extensive Vertex AI Model Garden.
  • Learn how to use BigQuery to leverage GenAI-based models from Vertex AI with minimal effort.
  • Put the above skills into practice using practical, hands-on examples.

The purpose of this workshop is to provide you with the essential knowledge of Generative-AI on Google Cloud Platform, it is not a certification course.

Some of the details

This is a 2-day virtual live interactive workshop. There will be a chance to put into practice what you learn with several hands-on labs during the workshop. Our instructor will be available to guide you through it all and answer any of your questions. This is a great way to kickstart and expand your knowledge of the cloud.

What to expect:

  • Live demos
  • Interactive learning
  • Hands-on labs
  • Q&A

To take part in this course, you should have roughly 1 year of experience with one or more of the following:

  • A common query language such as SQL
  • Machine Learning (ML) models and their use cases
  • General Infrastructure knowledge for hosting & running ML models

In addition to the above prerequisites, you will also need a Google Cloud account to participate in the hands-on labs. This will help you understand the technologies covered. Register for a free quicklabs account.

You should ideally also have some basic knowledge of your potential use cases for Machine Learning / Generative AI models before enrolling in this course

  • Data analysts, data scientists, and business analysts who are getting started with Google Cloud
  • Executives and IT decision makers evaluating Google Cloud for use by data scientists
  • Individuals responsible for designing ML pipelines, creating and maintaining machine learning and statistical models, querying datasets, visualizing query results, and creating insights for their business through data
  • Big Data, Machine Learning & GenAI on Google Cloud
  • Data Engineering for Streaming Data
  • Big Data & GenAI with BigQuery
  • ML and GenAI Options on Google Cloud
  • The ML Workflow with Vertex AI
  • Delving deeper into GenAI on GCP

Workshop at a glance

Skills level: Intermediate
Platform: Google Cloud
Duration: 2 days (6 hrs each day)
Format: Live instructor-led workshop
Language: English

Training instructor

Diego Munoz

Senior Cloud Architect - DoiT

Don't miss this great workshop!