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 Duration 14 hours

Course Outline

Introduction to Gemini 3 Multimodal Capabilities

  • Functional proficiency across text, image, audio, and video data types
  • Overview of model selection criteria and service endpoints
  • Fundamental principles of multimodal reasoning processes

Processing Text and Structured Data Inputs

  • Strategic approaches to prompt engineering for text generation
  • Management of metadata, context windows, and embedding vectors
  • Orchestrating multimodal tasks through text-based controls

Image Analysis and Visual Process Workflows

  • Execution of image analysis and interpretation using Gemini 3
  • Development of visual search and automated tagging utilities
  • Implementation of bidirectional image-to-text and text-to-image interactions

Audio Data Processing and Analysis

  • Workflows for speech recognition and accurate transcription
  • Detection and contextual interpretation of audio events
  • Synthesis of audio inputs with text and visual data streams

Video Intelligence and Scene Interpretation

  • Analysis of video content via frame-level and continuous reasoning
  • Construction of summarization tools and highlight extraction modules
  • Automation of video-based content generation workflows

Architectural Design for Multimodal Systems

  • Integration of diverse input modalities within unified processing pipelines
  • Evaluation of latency, cost efficiency, and computational resources
  • Adherence to best practices for scalable multimodal infrastructure

Prototyping Multimodal Application Components

  • Hands-on development of functional multimodal prototypes
  • Rapid iteration cycles through refined prompt engineering
  • Validation and optimization of user experience interactions

Deployment of Multimodal Solutions

  • Implementation strategies and environment configuration
  • Monitoring of performance metrics in operational environments
  • Addressing security protocols and regulatory compliance requirements

Conclusion and Recommended Next Steps

Requirements

  • Working knowledge of modern artificial intelligence concepts
  • Proficiency in Python or JavaScript programming languages
  • Familiarity with Representational State Transfer (REST) API standards

Target Audience

  • Design professionals
  • Content creation specialists
  • Technical product development teams

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