Learn how to leverage Gemini multimodal capabilities to process and generate text, images, and audio and to integrate Gemini through APIs to perform tasks such as content creation and summarization.
Build with Vertex AI: Google's Gen AI Models
The Vertex AI Gemini models enable enterprises to generate and reason about multimodal content (text, images, video, and audio), optimize prompts, integrate with external systems via tools, and develop code reasoning applications. This enables the extension of the model's capabilities and the automation of tasks such as scheduling appointments or sending emails. This learning path equips you with the necessary skills and practical experience to leverage Gemini's features, allowing you to build robust generative AI solutions.
This path is part of the curriculum to earn the Build with Vertex Technical Expert Badge. To earn your Technical Expert Badge you need to have a valid Professional Google Cloud Certification, earn the Skill Badge at the end of this path, and earn the other four Skill Badges to showcase your Build with Vertex AI skills.
You can earn the other Skill Badges needed at Build with Vertex AI: Generating, Editing, and Responding to Media, Build with Vertex AI: Building RAG Applications with Vertex AI , and Build with Vertex AI: Evaluating Model and Agent Performance.

An LLM-based application can process language in a way that resembles thought. But if you want to extend its capabilities to take actions by running other functions you have coded, you will need to use function calling. This can also...

Complete the Extend Gemini with controlled generation and Tool use skill badge to demonstrate your proficiency in connecting models to external tools and APIs. This allows models to augment their knowledge, extend their capabilities and interact with external systems to...