Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 14 hours
Course Outline
Overview of Gemini 3 Multimodality
- Capabilities spanning text, images, audio, and video
- Guidance on model selection and endpoint overview
- Foundational concepts in multimodal reasoning
Managing Text and Structured Inputs
- Strategies for effective text generation prompting
- Handling metadata, context windows, and embeddings
- Orchestrating multimodal tasks via text-based logic
Image Understanding and Visual Workflows
- Analyzing and interpreting images using Gemini 3
- Developing visual search and tagging utilities
- Creating bidirectional image-to-text and text-to-image interactions
Processing Audio Inputs
- Workflows for speech recognition and transcription
- Detecting and interpreting audio events
- Blending audio with text and visual inputs
Video Intelligence and Scene Analysis
- Reasoning through frame-by-frame and continuous video content
- Creating tools for summarization and highlight extraction
- Implementing video-based automation and content workflows
Architecting Multimodal Applications
- Synthesizing multiple input types into a single pipeline
- Addressing latency, cost, and computational efficiency
- Best practices for building scalable multimodal systems
Prototyping Multimodal Applications
- Hands-on development of multimodal prototypes
- Iterating rapidly through prompt engineering
- Testing and refining user experience flows
Deploying Multimodal Solutions
- Strategies for deployment and environment configuration
- Monitoring performance in live environments
- Ensuring security and regulatory compliance
Conclusion and Future Directions
Requirements
- A solid understanding of modern 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
