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Duration 14 hours
Course Outline
Introduction to Gemini 3’s Multimodal Capabilities
- Core competencies across text, image, audio, and video domains
- Overview of model selection and available endpoints
- Fundamental concepts of multimodal reasoning
Managing Text and Structured Data Inputs
- Advanced prompting techniques for text generation
- Handling metadata, context windows, and embeddings
- Orchestrating multimodal tasks via text-based controls
Visual Understanding and Image-Based Workflows
- Analyzing and interpreting images with 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
- Synthesizing audio data with text and visual streams
Video Intelligence and Scene Interpretation
- Performing frame-level and continuous video analysis
- Creating tools for content summarization and highlight extraction
- Automating video-based content processes
Architecting Multimodal Applications
- Combining diverse input types within a single processing pipeline
- Evaluating latency, cost, and computational requirements
- Applying best practices for scalable multimodal systems
Prototyping Multimodal Solutions
- Practical creation of functional multimodal prototypes
- Achieving rapid iteration through refined prompt engineering
- Testing and optimizing user experience pathways
Deployment of Multimodal Systems
- Defining deployment strategies and configuring environments
- Monitoring performance in production settings
- Addressing security and regulatory compliance
Conclusion and Path Forward
Requirements
- A solid grasp of contemporary AI principles
- Proficiency in Python or JavaScript
- Working knowledge of REST APIs
Target Audience
- Design professionals
- Content creators
- Technical product teams
Testimonials (1)
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