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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
- Core principles of multimodal reasoning
Managing Text and Structured Inputs
- Effective prompting strategies for text generation
- Handling metadata, context windows, and embeddings
- Orchestrating multimodal tasks using text-based controls
Image Understanding and Visual Workflows
- Analyzing and interpreting images with Gemini 3
- Developing visual search and automated tagging tools
- Facilitating image-to-text and text-to-image interactions
Audio Input Processing
- Workflows for speech recognition and transcription
- Detecting and interpreting audio events
- Synthesizing audio with text and visual data streams
Video Intelligence and Scene Analysis
- Reasoning over video frames individually and continuously
- Creating tools for summarization and highlight extraction
- Automating video-based processes and content workflows
Architecting Multimodal Applications
- Combining various input types within a single pipeline
- Considering latency, cost, and computational requirements
- Best practices for building scalable multimodal systems
Prototyping Multimodal Applications
- Practical creation of multimodal prototypes
- Accelerating iteration through prompt engineering
- Testing and refining user experience flows
Deploying Multimodal Solutions
- Deployment strategies and environment configuration
- Monitoring performance in production environments
- Addressing security and compliance requirements
Summary and Next Steps
Requirements
- A solid grasp of contemporary AI concepts
- Proficiency in Python or JavaScript
- Working knowledge of REST APIs
Target Audience
- Designers
- Content creators
- Technical product teams
Testimonials (1)
Flow , vibe and topic on presentation
