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Duration 14 hours
Course Outline
Introduction to Gemini 3 Multimodality
- Capabilities spanning text, images, audio, and video
- Model selection and 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 via text-based commands
Image Understanding and Visual Workflows
- Analyzing and interpreting images using Gemini 3
- Developing tools for visual search and automated tagging
- Implementing bidirectional image-to-text and text-to-image interactions
Processing Audio Inputs
- Workflows for speech recognition and transcription
- Detecting and interpreting specific audio events
- Seamlessly integrating audio with textual and visual data streams
Video Intelligence and Scene Analysis
- Reasoning through frame-by-frame and continuous video streams
- Building tools for content summarization and highlight extraction
- Implementing video-based automation and content workflows
Architecting Multimodal Applications
- Synthesizing multiple input types within a single pipeline
- Evaluating latency, cost, and computational resource usage
- Best practices for building scalable multimodal systems
Prototyping Multimodal Applications
- Hands-on development of multimodal prototypes
- Iterating rapidly using refined prompt engineering
- Testing and optimizing user experience flows
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 principles
- Practical experience with Python or JavaScript
- Proficiency in working with REST APIs
Target Audience
- Designers
- Content creators
- Technical product teams
Testimonials (1)
Flow , vibe and topic on presentation