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Duration 14 hours
Course Outline
Introduction to Gemini 3 Multimodality
- Capabilities spanning text, images, audio, and video
- Overview of model selection and endpoints
- Core concepts in multimodal reasoning
Handling Text and Structured Inputs
- Strategies for prompting in text generation
- Managing metadata, context windows, and embeddings
- Orchestrating multimodal tasks using text
Image Understanding and Visual Workflows
- Analyzing and interpreting images with Gemini 3
- Developing visual search and tagging utilities
- Creating interactions that convert between image and text formats
Processing Audio Inputs
- Workflows for speech recognition and transcription
- Detecting and interpreting audio events
- Integrating audio with text and visual data streams
Video Intelligence and Scene Analysis
- Performing frame-by-frame and continuous video reasoning
- Developing tools for summarization and highlight extraction
- Automating video-based content workflows
Architecting Multimodal Applications
- Combining various input types within a single pipeline
- Considering latency, cost, and computational requirements
- Best practices for building 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
- Strategies for deployment and environment configuration
- Monitoring performance in production environments
- Addressing security and compliance requirements
Summary and Future Directions
Requirements
- A solid grasp of contemporary AI concepts
- Practical experience with Python or JavaScript
- Familiarity with REST API architectures
Target Audience
- Designers
- Content creators
- Technical product teams
Testimonials (1)
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