Get in Touch

Course Outline

Introduction to Gemini 3 Multimodality

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

Working with Text and Structured Inputs

  • Strategies for effective text generation prompting
  • Managing metadata, context windows, and embeddings
  • Orchestrating multimodal tasks through text-based inputs

Image Understanding and Visual Workflows

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

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

  • Conducting frame-by-frame and continuous video reasoning
  • Building tools for summarization and highlight extraction
  • Automating content workflows using video data

Designing Multimodal Application Architectures

  • Combining multiple input types within a single pipeline
  • Addressing latency, cost, and computational factors
  • Applying best practices for scalable multimodal systems

Prototyping Multimodal Applications

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

Deploying Multimodal Solutions

  • Deployment strategies and environment configuration
  • Monitoring real-world performance metrics
  • Addressing security and compliance requirements

Summary and Next Steps

Requirements

  • A foundational 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

Number of participants


Price per participant

Testimonials (1)

Upcoming Courses

Related Categories