Cloud Hero: GenAI Search and Conversation is a challenge-based learning experience that introduces developers and AI practitioners to Google Cloud’s generative AI ecosystem. Participants will explore Vertex AI Studio, Gemini multimodal models, Vertex AI Agent Builder, search integration, and embedding models for text and multimodal content. 

Through guided labs and practical scenarios, learners will gain hands-on experience building conversational AI solutions, integrating enterprise search capabilities, creating semantic search applications, and leveraging embeddings to power modern AI-driven user experiences. 

After completing Cloud Hero: GenAI Search and Conversation, students will be able to:

  • Understand the fundamentals of Vertex AI and Gemini.
  • Build and experiment with AI models using Vertex AI Studio.
  • Work with Gemini multimodal capabilities for text, images, audio, and video.
  • Integrate search experiences into applications using Vertex AI Agent Builder.
  • Generate and use embeddings for semantic search and retrieval.
  • Build conversational AI applications powered by generative AI.
  • Understand retrieval-augmented search architectures.
  • Develop practical skills for modern AI application development.

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Key Features of Cloud Hero: GenAI Search and Conversation

  • Introduction to Generative AI on Vertex AI

  • Vertex AI Studio Development

  • Gemini Multimodal AI 

  • Search-Powered AI Applications

  • Vertex AI Agent Builder

  • Embeddings and Semantic Search 

  • Conversational AI Development

  • Gamified Hands-On Learning

Who should Attend Cloud Hero: GenAI Search and Conversation

  • AI Developers
  • Cloud Developers
  • Software Engineers
  • Generative AI Practitioners
  • Application Architects
  • Technical Professionals Exploring AI Search Solutions
  • Google Cloud AI Learners

Pre-requisites of Cloud Hero: GenAI Search and Conversation

  • Prior experience with Vertex AI recommended.
  • Familiarity with Google Cloud fundamentals.
  • Interest in generative AI and conversational applications.
  • Basic understanding of application development concepts.

Why choose CloudThat as your training partner?

Course Outline of Cloud Hero: GenAI Search and Conversation Download Course Outline

Topics

  • Vertex AI Studio Overview
  • Prompt Engineering Fundamentals
  • AI Prototyping
  • Foundation Models

Learning Outcomes

  • Understand Vertex AI Studio capabilities.
  • Create and test prompts effectively.
  • Prototype generative AI applications quickly.
  • Explore foundation model interactions.

Activities

  • Lab: GSP1154 – Get Started with Vertex AI Studio
  • Prompt Design Challenge
  • AI Exploration Exercise

Topics

  • Gemini 1.5 Pro Overview
  • Multimodal AI
  • Text Analysis
  • Image Understanding
  • Audio and Video Processing

Learning Outcomes

  • Work with Gemini multimodal capabilities.
  • Analyze multiple content formats using AI.
  • Build applications using Gemini models.
  • Understand multimodal prompting techniques.

Activities

  • Lab: GSP1150 – Getting Started with the Vertex AI Gemini 1.5 Pro Model
  • Multimodal AI Workshop
  • Content Analysis Challenge

Topics

  • Enterprise Search
  • Vertex AI Agent Builder
  • Search Integration
  • Conversational Retrieval

Learning Outcomes

  • Build search-powered AI experiences.
  • Configure search integration within applications.
  • Develop conversational retrieval solutions.
  • Understand retrieval-enhanced AI architectures.

Activities

  • Lab: GSP1152 – Integrate Search in Applications using Vertex AI Agent Builder
  • Search Application Workshop
  • Conversational Search Challenge

Topics

  • Embedding Fundamentals
  • Text Embeddings
  • Multimodal Embeddings
  • Semantic Search
  • Similarity Matching

Learning Outcomes

  • Generate embeddings using Vertex AI.
  • Build semantic search and retrieval systems.
  • Understand vector similarity concepts.
  • Implement AI-powered recommendation and search workflows.

Activities

  • Lab: GSP1280 – Introduction to Vertex AI Embeddings: Text and Multimodal
  • Embeddings Workshop
  • Semantic Search Challenge

Certification Details of Cloud Hero: GenAI Search and Conversation

    Participants receive a Cloud Hero completion badge and recognition upon successful completion of all challenge activities.

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Course ID: 29545

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FAQs of Cloud Hero: GenAI Search and Conversation

This Cloud Hero is designed for developers and AI practitioners who want to build search-enabled and conversational AI applications using Google Cloud technologies.

Yes. General familiarity with Vertex AI is recommended.

Yes. The Cloud Hero consists entirely of practical labs and challenge-based exercises.

The course covers multimodal AI, semantic search, conversational AI, enterprise search integration, embeddings, and generative AI application development.

Yes. Search integration using Vertex AI Agent Builder is one of the primary focus areas.

The Cloud Hero uses Vertex AI, Gemini, Vertex AI Studio, Vertex AI Agent Builder, and Vertex AI Embeddings.

The complete challenge takes approximately 330 minutes.

Participants typically earn a Cloud Hero completion badge upon successful completion of all challenge activities.

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