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Course Outline

Introduction to Gemini 3 Multimodality

  • Exploring capabilities across text, images, audio, and video
  • Overview of model selection and endpoints
  • Core concepts in multimodal reasoning

Working with Text and Structured Inputs

  • Strategies for effective text generation prompting
  • Managing metadata, context windows, and embeddings
  • Orchestrating multimodal tasks via text-based inputs

Image Understanding and Visual Workflows

  • Analyzing and interpreting images using Gemini 3
  • Developing visual search and tagging functionalities
  • Creating interactions between image-to-text and text-to-image

Audio Input Processing

  • Workflows for speech recognition and transcription
  • Detecting and interpreting audio events
  • Integrating audio inputs with text and visual data

Video Intelligence and Scene Analysis

  • Performing frame-by-frame and continuous video reasoning
  • Building tools for summarization and highlight extraction
  • Automating content workflows based on video inputs

Designing Multimodal Application Architectures

  • Combining diverse input types within a single pipeline
  • Addressing latency, cost, and computational factors
  • Best practices for constructing scalable multimodal systems

Prototyping Multimodal Applications

  • Hands-on creation of multimodal prototypes
  • Rapid iteration through prompt engineering
  • Testing and refining user experience flows

Deploying Multimodal Solutions

  • Deployment strategies and environment setup
  • Monitoring real-world application performance
  • Considering security and compliance aspects

Summary and Next Steps

Requirements

  • A foundational understanding of modern AI concepts
  • Practical experience with Python or JavaScript
  • Familiarity with REST APIs

Target Audience

  • Designers
  • Content creators
  • Technical product teams
 14 Hours

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