Google Cloud Certification

University of Guelph, 50 Stone Road East, Guelph, N1G 2W1

GDG on Campus University of Guelph - Guelph, Canada

We are excited for you to pilot the Google Cloud Career Launchpad over the next 6 months! Google Cloud Career Launchpad is a no-cost Cloud Learning program that will give you access to a selection of entry-level Cloud Certificates and skill badge courses. You will be starting off your journary with the Gen AI skill boost course.

Jan 13, 11:00 PM – Jan 14, 1:00 AM (UTC)

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Key Themes

AIBuild with AICareer DevelopmentCertification PrepCertification Study GroupCloudCloud Study JamCommunity BuildingDataGeminiGoogle AnalyticsMachine LearningNetworkingRoad to Google Developers CertificationVertex AIWeb

About this event

We will provide an overview of the content you'll learn in this course and complete the first module together during the event, earning you the Introduction to Generative AI badge.


The Gen AI Course:

This three-course pathway helps learners build expertise in generative AI. It provides an overview of generative AI concepts, from the fundamentals of large language models to responsible AI principles. The courses provide examples of how Gemini can help make engineers of all types more efficient in their daily activities and how to incorporate prebuilt Gen AI models into workflows. Students will earn skill badge credentials upon completion.

Duration: ~30 hours


Course Learning Outcomes:

Understand what generative AI is, how it is used, and how it differs from traditional machine learning methods.

Understand what large language models (LLMs) are and how you can

use prompt tuning to enhance LLM performance.

Practice prompt engineering, image analysis, and multimodal

generative techniques within Vertex AI.

Understand how Gemini helps various types of developers and

engineers to explain and generate code, analyze data, create and

maintain networks, develop applications, and more.

Understand how Generative AI Studio customizes generative AI models for use in your applications.

Create an image captioning model by using deep learning

When

When

January 13 – 14, 2025
11:00 PM – 1:00 AM (UTC)

Organizer

  • Jacob Good

    Organizer

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