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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
  • Key concepts in multimodal reasoning

Working with Text and Structured Inputs

  • Effective prompting strategies for text generation
  • Understanding metadata, context windows, and embeddings
  • Orchestrating multimodal tasks using text

Image Understanding and Visual Workflows

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

Audio Input Processing

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

Video Intelligence and Scene Analysis

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

Designing Multimodal Application Architectures

  • Combining multiple input types within a single pipeline
  • Addressing latency, cost, and computational considerations
  • Best practices for building 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 performance
  • Considering security and compliance requirements

Summary and Next Steps

Requirements

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

Audience

  • Designers
  • Content creators
  • Technical product teams
 14 Hours

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