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Google Gemini Integration

Explore how to integrate and customize Google Gemini models. This course will teach you to build and deploy applications that use Gemini and integrations features on Vertex AI.

Victor Dantas - Pluralsight course - Google Gemini Integration
by Victor Dantas
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What you'll learn

Struggling to integrate the Gemini API in your applications? In this course, Google Gemini Integration, you’ll learn to build, customize, and deploy Gemini-powered applications using Vertex AI Studio. First, you’ll explore the differences between Vertex AI and Google AI Studio. Next, you’ll discover how to customize models within Vertex AI Studio with prompting and fine-tuning. Finally, you’ll learn how to use various tools and integration functionalities with Gemini. When you’re finished with this course, you’ll have the skills and knowledge of Gemini on Vertex AI needed to customize and deploy Gemini-powered solutions.

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About the author

Victor Dantas - Pluralsight course - Google Gemini Integration
Victor Dantas

IT professional with a PhD in Software-Defined Networking and certified Cloud Architect on Microsoft Azure and Google Cloud Platform (GCP). With a background ranging from software development and systems engineering to professional services for Cloud migration, I have accumulated experience in Hybrid cloud infrastructure, cloud architecture and design, Infrastructure-as-Code (IaC) as well as Agile/DevOps practices. My current interests involve AI / Machine Learning and Internet-of-Things. (IoT).

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