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Duration 14 hours
Course Outline
Introduction to Gemini 3 Multimodality
- Capabilities spanning text, images, audio, and video
- Overview of model selection and endpoints
- Fundamental concepts in multimodal reasoning
Handling Text and Structured Inputs
- Strategies for prompting text generation
- Working with metadata, context windows, and embeddings
- Orchestrating multimodal tasks via text-based logic
Image Understanding and Visual Workflows
- Analyzing and interpreting images with Gemini 3
- Developing tools for visual search and tagging
- Creating bidirectional image-to-text and text-to-image interactions
Processing Audio Inputs
- Workflows for speech recognition and transcription
- Detecting and interpreting audio events
- Merging audio with text and visual data streams
Video Intelligence and Scene Analysis
- Reasoning through frame-by-frame and continuous video analysis
- Developing tools for summarization and highlight extraction
- Automating video-based processes and content workflows
Designing Multimodal Application Architectures
- Integrating diverse input types into a single pipeline
- Considering latency, cost, and computational resources
- Best practices for building scalable multimodal systems
Prototyping Multimodal Applications
- Practical development of multimodal prototypes
- Iterating rapidly through prompt engineering
- Testing and refining user experience journeys
Deploying Multimodal Solutions
- Strategies for deployment and environment configuration
- Monitoring performance in production environments
- Addressing security and compliance requirements
Conclusion and Future Directions
Requirements
- A solid grasp of contemporary AI concepts
- Proficiency in Python or JavaScript
- Knowledge of REST APIs
Target Audience
- Designers
- Content creators
- Technical product teams
Testimonials (1)
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