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Course Outline

Introduction to Gemini 3 Multimodality

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

Handling Text and Structured Inputs

  • Advanced prompting strategies for text generation
  • Working with metadata, context windows, and embeddings
  • Using text to orchestrate complex multimodal tasks

Image Understanding and Visual Workflows

  • Analyzing and interpreting images with Gemini 3
  • Developing visual search and tagging solutions
  • 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 with text and visual data streams

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

  • Synthesizing multiple input types within a single pipeline
  • Addressing latency, cost, and computational efficiency
  • Best practices for building scalable multimodal systems

Prototyping Multimodal Applications

  • Hands-on development of multimodal prototypes
  • Accelerating iteration through prompt engineering
  • Testing and optimizing user experience flows

Deploying Multimodal Solutions

  • Strategies for deployment and environment configuration
  • Monitoring performance in production environments
  • Addressing security and compliance requirements

Summary and Next Steps

Requirements

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

Target Audience

  • Designers
  • Content creators
  • Technical product teams
 14 Hours

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