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Duration 14 hours
Course Outline
Introduction to Gemini 3 Multimodality
- Capabilities spanning text, images, audio, and video.
- Model selection and an overview of available endpoints.
- Fundamental concepts in multimodal reasoning.
Handling Text and Structured Inputs
- Advanced prompting strategies for text generation.
- Managing metadata, context windows, and embeddings.
- Orchestrating multimodal tasks through text-based logic.
Image Understanding and Visual Workflows
- Analyzing and interpreting images using Gemini 3.
- Developing tools for visual search and tagging.
- Building interactive flows for image-to-text and text-to-image conversions.
Audio Input Processing
- Workflows for speech recognition and transcription.
- Detecting and interpreting audio events.
- Fusion of audio data with text and visual inputs.
Video Intelligence and Scene Analysis
- Performing frame-by-frame and continuous video reasoning.
- Creating tools for summarization and highlight extraction.
- Automation and content workflows driven by video data.
Designing Multimodal Application Architectures
- Synthesizing multiple input types into 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 techniques via prompt engineering.
- Testing and refining user experience flows.
Deploying Multimodal Solutions
- Deployment strategies and environment configuration.
- Monitoring performance in real-world scenarios.
- Addressing security and compliance requirements.
Summary and Next Steps
Requirements
- A solid grasp of contemporary AI concepts.
- Practical experience with Python or JavaScript.
- Working knowledge of REST APIs.
Intended Audience
- Designers.
- Content creators.
- Technical product teams.
Testimonials (1)
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