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Course Outline
Introduction to Gemini 3 Multimodality
- Capabilities spanning 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 for text generation.
- Metadata, context windows, and embeddings.
- Orchestrating multimodal tasks via text-based methods.
Image Understanding and Visual Workflows
- Image analysis and interpretation using Gemini 3.
- Developing visual search and tagging tools.
- Creating image-to-text and text-to-image interactions.
Audio Input Processing
- Speech recognition and transcription workflows.
- Detecting and interpreting audio events.
- Integrating audio with text and visual inputs.
Video Intelligence and Scene Analysis
- Frame-by-frame and continuous video reasoning.
- Building tools for summarisation and highlight extraction.
- Video-based automation and content workflows.
Designing Multimodal Application Architectures
- Combining multiple input types within a single pipeline.
- Considerations regarding latency, cost, and computation.
- Best practices for scalable multimodal systems.
Prototyping Multimodal Applications
- Hands-on creation of multimodal prototypes.
- Rapid iteration through prompt engineering.
- Testing and refining user experience flows.
Deploying Multimodal Solutions
- Deployment strategies and environment setup.
- Monitoring performance in real-world scenarios.
- Security and compliance considerations.
Summary and Next Steps
Requirements
- A solid understanding of contemporary AI concepts.
- Proficiency with Python or JavaScript.
- Familiarity with REST APIs.
Target Audience
- Designers.
- Content creators.
- Technical product teams.
14 Hours
Testimonials (1)
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