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
Introduction to Gemini 3 Multimodality
- Capabilities spanning text, images, audio, and video
- Overview of model selection and endpoints
- Foundational concepts in multimodal reasoning
Working with Text and Structured Inputs
- Strategies for text generation prompting
- Managing metadata, context windows, and embeddings
- Orchestrating multimodal tasks via text-based methods
Image Understanding and Visual Workflows
- Analyzing and interpreting images using Gemini 3
- Developing visual search and tagging tools
- Creating interactions for image-to-text and text-to-image conversions
Audio Input Processing
- Workflows for speech recognition and transcription
- Detecting and interpreting audio events
- Combining audio with text and visual inputs
Video Intelligence and Scene Analysis
- Performing frame-by-frame and continuous video reasoning
- Creating tools for summarization and highlight extraction
- Implementing video-based automation and content workflows
Designing Multimodal Application Architectures
- Merging multiple input types within a single pipeline
- Considering latency, cost, and computational factors
- Best practices for building scalable multimodal systems
Prototyping Multimodal Applications
- Hands-on development of multimodal prototypes
- Rapid iteration through prompt engineering
- Testing and refining user experience flows
Deploying Multimodal Solutions
- Deployment strategies and environment configuration
- Monitoring performance in real-world scenarios
- Addressing security and compliance requirements
Summary and Next Steps
Requirements
- A solid understanding of modern AI concepts
- Proficiency in Python or JavaScript
- Experience with REST APIs
Target Audience
- Designers
- Content creators
- Technical product teams
Testimonials (1)
Flow , vibe and topic on presentation
