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 Duration 14 hours

Course Outline

Introduction to Gemini 3 Multimodality

  • Capabilities spanning text, images, audio, and video
  • Model selection and endpoint overview
  • 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 through text-based control

Image Understanding and Visual Workflows

  • Analyzing and interpreting images with Gemini 3
  • Developing visual search and tagging utilities
  • Creating bidirectional image-to-text and text-to-image interactions

Audio Input Processing

  • Implementing speech recognition and transcription workflows
  • Detecting and interpreting audio events
  • Fusing audio inputs with text and visual data

Video Intelligence and Scene Analysis

  • Applying frame-by-frame and continuous video reasoning
  • Creating tools for summarization and highlight extraction
  • Automating video-based content workflows

Designing Multimodal Application Architectures

  • Unifying multiple input types within a single pipeline
  • Addressing latency, cost, and computational efficiency
  • Adopting best practices for scalable multimodal systems

Prototyping Multimodal Applications

  • Building multimodal prototypes through hands-on practice
  • Accelerating iteration via prompt engineering
  • Testing and optimizing user experience flows

Deploying Multimodal Solutions

  • Establishing deployment strategies and environment configuration
  • Monitoring performance in production environments
  • Addressing security and compliance requirements

Summary and Next Steps

Requirements

  • A solid grasp of contemporary AI concepts
  • Proficiency in Python or JavaScript
  • Working knowledge of REST APIs

Target Audience

  • Designers
  • Content creators
  • Technical product teams

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