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 Duration 14 hours

Course Outline

Introduction to Gemini 3's Multimodal Capabilities

  • Overview of functional capabilities spanning text, images, audio, and video
  • Model selection criteria and endpoint overview
  • Foundational concepts in multimodal reasoning

Handling Text and Structured Data Inputs

  • Effective prompting strategies for text generation
  • Management of metadata, context windows, and embeddings
  • Orchestrating multimodal tasks via text-based control

Image Analysis and Visual Workflow Design

  • Analyzing and interpreting visual data using Gemini 3
  • Developing tools for visual search and automated tagging
  • Implementing bidirectional image-to-text and text-to-image interactions

Processing Audio Inputs

  • Implementing speech recognition and transcription workflows
  • Detecting and interpreting specific audio events
  • Synthesizing audio data with textual and visual inputs

Video Intelligence and Scene Interpretation

  • Performing both frame-by-frame and continuous video reasoning
  • Creating tools for summarization and highlight extraction
  • Automation and content workflows driven by video analysis

Architecting Multimodal Applications

  • Consolidating diverse input types into a single cohesive pipeline
  • Evaluating latency, cost, and computational efficiency
  • Adopting best practices for scalable multimodal system design

Prototyping Multimodal Solutions

  • Hands-on development of multimodal application prototypes
  • Accelerating iteration cycles through advanced prompt engineering
  • Validating and refining user experience flows

Deploying Multimodal Solutions

  • Strategies for deployment and environment configuration
  • Monitoring performance metrics in live environments
  • Addressing security protocols and compliance requirements

Summary and Future Directions

Requirements

  • A foundational understanding of contemporary AI concepts
  • Proficiency in Python or JavaScript
  • Working knowledge of REST APIs

Target Audience

  • Designers
  • Content creators
  • Technical product teams

Number of participants


Price per participant

Open Training Courses require 5+ participants.

Testimonials (1)

Flow , vibe and topic on presentation

Lukasz Kowalczyk - Allegro Sp. z o.o.
Course - Google Gemini AI for Data Analysis

Upcoming Courses

Multimodal Applications with Gemini 3: Vision, Audio, Video & Text

2026-11-06 09:30
14 hours
Mirobod
22,597,506 UZS (Online)
24,597,506 UZS (Classroom)

Multimodal Applications with Gemini 3: Vision, Audio, Video & Text

2026-11-20 09:30
14 hours
Mirobod
22,597,506 UZS (Online)
24,597,506 UZS (Classroom)

Multimodal Applications with Gemini 3: Vision, Audio, Video & Text

2026-12-04 09:30
14 hours
Mirobod
22,597,506 UZS (Online)
24,597,506 UZS (Classroom)

Multimodal Applications with Gemini 3: Vision, Audio, Video & Text

2026-12-18 09:30
14 hours
Mirobod
22,597,506 UZS (Online)
24,597,506 UZS (Classroom)

Multimodal Applications with Gemini 3: Vision, Audio, Video & Text

2027-01-01 09:30
14 hours
Mirobod
22,597,506 UZS (Online)
24,597,506 UZS (Classroom)

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