Inspect Rich Documents with Gemini Multimodality and Multimodal RAG Training Logo

Inspect Rich Documents with Gemini Multimodality and Multimodal RAG Training

Live Online & Classroom Enterprise Training

Learn how to analyze, extract, and generate insights from rich documents such as PDFs, images, and mixed media using Gemini multimodal capabilities combined with Multimodal Retrieval-Augmented Generation (RAG).

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What is Inspect Rich Documents with Gemini Multimodality and Multimodal RAG Course about?

This course explores how modern multimodal AI models can process and understand complex documents containing text, images, tables, and charts. You will learn how to use Gemini multimodal features to inspect rich documents and implement Multimodal RAG architectures to retrieve and generate accurate, context-aware responses. The course focuses on real-world enterprise use cases such as document intelligence, automated insights extraction, and knowledge retrieval from large document repositories.

What are the objectives of Inspect Rich Documents with Gemini Multimodality and Multimodal RAG Course ?

  • Understand multimodal AI concepts and Gemini multimodal architecture
  • Learn how to extract structured data from rich documents
  • Implement Multimodal Retrieval-Augmented Generation pipelines
  • Build document inspection and querying workflows
  • Apply multimodal AI to enterprise document processing use cases

Who is Inspect Rich Documents with Gemini Multimodality and Multimodal RAG Course for?

  • AI/ML Engineers working with document intelligence
  • Cloud Developers building AI-powered applications
  • Data Scientists working with unstructured and multimodal data
  • Solution Architects designing GenAI-based enterprise solutions
  • Technical Professionals exploring multimodal AI capabilities

What are the prerequisites for Inspect Rich Documents with Gemini Multimodality and Multimodal RAG Course?

Prerequisites:

  • Basic understanding of Machine Learning concepts
  • Familiarity with Generative AI fundamentals
  • Basic Python programming knowledge
  • Understanding of APIs and cloud-based services
  • Basic knowledge of data processing workflows


Learning Path:

  • Introduction to Multimodal AI and Gemini Models
  • Understanding Rich Document Processing Techniques
  • Fundamentals of Retrieval-Augmented Generation (RAG)
  • Building Multimodal RAG Pipelines
  • Deploying and Optimizing Multimodal Document Solutions


Related Courses:

  • Introduction to Generative AI and Large Language Models
  • Building RAG Applications with Vector Databases
  • Prompt Engineering for Multimodal Models
  • Enterprise Document AI and Intelligent Search Solutions

Available Training Modes

Live Online Training

1 Days

Course Outline Expand All

Expand All

  • Understanding the concept of multimodal data (text and visual)
  • Overview of Gemini's capabilities in processing rich documents
  • Techniques for extracting information from text and visual data
  • Generating video descriptions using Gemini
  • Retrieving additional information beyond the video content
  • Creating metadata for documents containing text and images
  • Identifying relevant text chunks within rich documents
  • Printing citations using Multimodal Retrieval Augmented Generation (RAG) with Gemini

Who is the instructor for this training?

The trainer for this Inspect Rich Documents with Gemini Multimodality and Multimodal RAG Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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