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 Duration 14 hours

Course Outline

Foundations of Gemini 3 Multimodality

  • Core capabilities spanning text, images, audio, and video
  • Overview of model selection and available endpoints
  • Essential concepts in multimodal reasoning

Handling Text and Structured Data

  • Advanced prompting strategies for text generation
  • Managing metadata, context windows, and embeddings
  • Orchestrating multimodal tasks through text-based logic

Image Interpretation and Visual Processes

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

Processing Audio Inputs

  • Workflows for speech recognition and transcription
  • Detecting and interpreting audio events
  • Merging audio streams with textual and visual data

Video Intelligence and Scene Analysis

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

Architecting Multimodal Systems

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

Developing Multimodal Prototypes

  • Practical creation of multimodal application prototypes
  • Achieving rapid iteration through prompt engineering
  • Testing and optimizing user experience flows

Implementing Multimodal Solutions

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

Conclusion and Future Directions

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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