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Duration 14 hours
Course Outline
Introduction to Gemini 3 Multimodality
- Capabilities across text, images, audio, and video.
- Model selection and an overview of endpoints.
- Core concepts in multimodal reasoning.
Working with Text and Structured Inputs
- Prompting strategies optimized for text generation.
- Managing metadata, context windows, and embeddings.
- Orchestrating multimodal tasks via text-based logic.
Image Understanding and Visual Workflows
- Image analysis and interpretation using Gemini 3.
- Developing visual search and tagging tools.
- Creating bidirectional image-to-text and text-to-image interactions.
Audio Input Processing
- Speech recognition and transcription workflows.
- Detecting and interpreting audio events.
- Integrating audio streams with text and visual inputs.
Video Intelligence and Scene Analysis
- Frame-by-frame and continuous video reasoning.
- Building tools for summarization and highlight extraction.
- Implementing video-based automation and content workflows.
Designing Multimodal Application Architectures
- Combining multiple input types within a single pipeline.
- Addressing latency, cost, and computational constraints.
- Best practices for building scalable multimodal systems.
Prototyping Multimodal Applications
- Hands-on creation of functional multimodal prototypes.
- Rapid iteration through refined prompt engineering.
- Testing and refining user experience flows.
Deploying Multimodal Solutions
- Deployment strategies and environment configuration.
- Monitoring performance in real-world scenarios.
- Security and compliance considerations.
Summary and Next Steps
Requirements
- A solid grasp of modern AI concepts.
- Proficiency in Python or JavaScript.
- Working knowledge of REST APIs.
Intended Audience
- Designers.
- Content creators.
- Technical product teams.
Testimonials (1)
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