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Duration 14 hours
Course Outline
Introduction to Gemini 3 Multimodality
- Capabilities spanning text, images, audio, and video
- Model selection and endpoint overview
- Fundamental concepts in multimodal reasoning
Working with Text and Structured Inputs
- Strategies for text generation prompting
- Handling metadata, context windows, and embeddings
- Orchestrating multimodal tasks through text-based methods
Image Understanding and Visual Workflows
- Image analysis and interpretation utilizing Gemini 3
- Developing visual search and tagging tools
- Constructing image-to-text and text-to-image interactions
Audio Input Processing
- Workflows for speech recognition and transcription
- Detection and interpretation of audio events
- Fusing audio with text and visual inputs
Video Intelligence and Scene Analysis
- Frame-by-frame and continuous video reasoning
- Creating summarization and highlight extraction tools
- Implementing video-based automation and content workflows
Designing Multimodal Application Architectures
- Integrating multiple input types into a single pipeline
- Managing latency, cost, and computational resources
- Best practices for building scalable multimodal systems
Prototyping Multimodal Applications
- Practical creation of multimodal prototypes
- Rapid iteration techniques using prompt engineering
- Testing and refining user experience flows
Deploying Multimodal Solutions
- Deployment strategies and environment configuration
- Monitoring real-world performance metrics
- Addressing security and compliance requirements
Summary and Next Steps
Requirements
- A solid grasp of contemporary AI concepts
- Proficiency in Python or JavaScript
- Knowledge of REST API architectures
Target Audience
- Design professionals
- Content creators
- Technical product teams
Testimonials (1)
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