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Duration 14 hours
Course Outline
Introduction to Gemini 3 Multimodality
- Core capabilities spanning text, images, audio, and video
- Guidance on model selection and endpoint usage
- Fundamental concepts in multimodal reasoning
Handling Text and Structured Inputs
- Effective prompting strategies for text generation
- Utilizing metadata, context windows, and embeddings
- Orchestrating multimodal tasks through text-based control
Image Understanding and Visual Workflows
- Analyzing and interpreting images using Gemini 3
- Developing visual search and tagging utilities
- Creating interactions for image-to-text and text-to-image conversions
Processing Audio Inputs
- Implementing speech recognition and transcription pipelines
- Detecting and interpreting audio events
- Combining audio with text and visual data streams
Video Intelligence and Scene Analysis
- Applying frame-by-frame and continuous video reasoning
- Building tools for summarization and highlight extraction
- Automating video-based content workflows
Architecting Multimodal Applications
- Synthesizing multiple input types within a single pipeline
- Evaluating latency, cost, and computational impact
- Best practices for designing scalable multimodal systems
Prototyping Multimodal Applications
- Hands-on development of multimodal prototypes
- Iterating rapidly 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 Recommended Next Steps
Requirements
- Fundamental knowledge of contemporary AI concepts
- Proficiency in either Python or JavaScript
- Working familiarity with REST APIs
Target Audience
- Designers
- Content creators
- Technical product teams
Testimonials (1)
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