Get in Touch

Course Outline

Introduction to Gemini 3 Multimodality

  • Capabilities spanning text, images, audio, and video
  • Model selection and endpoint overview
  • Key concepts in multimodal reasoning

Working with Text and Structured Inputs

  • Prompting strategies for effective text generation
  • Managing metadata, context windows, and embeddings
  • Text-based orchestration of multimodal tasks

Image Understanding and Visual Workflows

  • Image analysis and interpretation using Gemini 3
  • Developing visual search and tagging tools
  • Building interactions between image-to-text and text-to-image

Audio Input Processing

  • Speech recognition and transcription workflows
  • Audio event detection and interpretation
  • Integrating audio data with text and visual inputs

Video Intelligence and Scene Analysis

  • Frame-by-frame and continuous video reasoning
  • Creating summarization and highlight extraction tools
  • Implementing video-based automation and 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
  • Security and compliance considerations

Summary and Next Steps

Requirements

  • A solid understanding of modern AI concepts
  • Prior experience with Python or JavaScript
  • Familiarity with REST APIs

Target Audience

  • Designers
  • Content creators
  • Technical product teams
 14 Hours

Testimonials (1)

Upcoming Courses

Related Categories