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Duration 14 hours
Course Outline
Introduction to Gemini 3 Multimodality
- Capabilities spanning text, images, audio, and video
- Model selection and overview of available endpoints
- Foundational concepts in multimodal reasoning
Managing Text and Structured Inputs
- Prompting techniques for text generation
- Working with metadata, context windows, and embeddings
- Orchestrating multimodal tasks through text-based control
Image Comprehension and Visual Workflows
- Analyzing and interpreting images using Gemini 3
- Developing visual search and tagging utilities
- Creating interactions between image-to-text and text-to-image
Processing Audio Inputs
- Speech recognition and transcription processes
- Detection and interpretation of audio events
- Combining audio with text and visual data streams
Video Intelligence and Scene Analysis
- Reasoning through frame-by-frame and continuous video analysis
- Developing tools for summarization and highlight extraction
- Automating video-based content workflows
Architecting Multimodal Applications
- Merging multiple input types within a single pipeline
- Evaluating latency, cost, and computational impact
- Adopting best practices for scalable multimodal systems
Prototyping Multimodal Solutions
- Hands-on development of multimodal prototypes
- Accelerating iteration through prompt engineering
- Testing and refining user experience interactions
Deployment of Multimodal Solutions
- Strategies for deployment and environment configuration
- Monitoring performance in live environments
- Addressing security and compliance requirements
Wrap-up and Future Steps
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
Testimonials (1)
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