ChatGPT Advanced: Mastering Multimodal AI Integration

Course Info

Date: May-05-2025

Length: 1 Week

City: Kuala Lumpur

Fees: 3,975

Type: In Classroom

Available Dates

  • Feb-03-2025

    Kuala Lumpur

  • May-05-2025

    Kuala Lumpur

  • Aug-04-2025

    Kuala Lumpur

  • Nov-03-2025

    Kuala Lumpur

Dates in Other Venues

  • Dec-30-2024

    London

  • Dec-30-2024

    Amsterdam

  • Dec-30-2024

    Dubai

  • Dec-30-2024

    Barcelona

  • Jan-06-2025

    Dubai

  • Feb-03-2025

    Istanbul

  • Feb-03-2025

    Paris

  • Feb-03-2025

    Barcelona

  • Feb-03-2025

    Amsterdam

  • Feb-03-2025

    Singapore

  • Feb-03-2025

    London

  • Mar-10-2025

    Dubai

  • Apr-07-2025

    London

  • May-05-2025

    Dubai

  • May-05-2025

    Paris

  • May-05-2025

    Barcelona

  • May-05-2025

    Singapore

  • May-05-2025

    Amsterdam

  • May-05-2025

    Istanbul

  • June-09-2025

    London

  • July-07-2025

    Dubai

  • Aug-04-2025

    Barcelona

  • Aug-04-2025

    Paris

  • Aug-04-2025

    Amsterdam

  • Aug-04-2025

    Istanbul

  • Aug-04-2025

    Singapore

  • Aug-04-2025

    London

  • Sep-08-2025

    Dubai

  • Oct-06-2025

    London

  • Nov-03-2025

    Dubai

  • Nov-03-2025

    Barcelona

  • Nov-03-2025

    Istanbul

  • Nov-03-2025

    Singapore

  • Nov-03-2025

    Paris

  • Nov-03-2025

    Amsterdam

  • Dec-08-2025

    London

Course Details

Course Outline

5 days course

Introduction to Multimodal


  • Introduction to ChatGPT and other LLM models
  • Definition of multimodal AI and its transformative impact across industries
  • Exploring advanced AI techniques for text processing and workflow automation
  • Introduction to multimodal systems: Integration of text, image, and audio
  • Use cases of multimodal AI in real-world applications

Workflow Automation


  • Techniques for handling complex multimodal scenarios
  • Utilizing Open AI assistants for custom function calls and workflow automation
  • Real-world examples of multimodal AI in different industries
  • Understanding LangChain for implementing workflows that integrate text with other modalities (e.g., text-to-image)
  • Discussion: Challenges and issues with workflow automation

Image Analysis with AI 


  • Fundamentals of image processing and analysis in AI
  • AI techniques for image recognition: Identification of objects, patterns, and context in images
  • Practical exploration of models like GPT4O, CLIP and DALL-E for image analysis
  • Exercise: Building an image analysis pipeline using multimodal AI techniques
  • Discussion: Best practices for deploying image analysis in business applications

Video Content Analysis 


  • Introduction to video analysis and the way AI can analyze and automate video content
  • Exploring video processing techniques for frame-by-frame analysis, scene detection, and object tracking
  • Practical applications using multimodal models to extract information from video
  • Exercise: Building and deploying a video content analysis system using advanced AI techniques
  • Discussion: Challenges and solutions in real-time video analysis

Audio Analysis and Multimodal Integration 


  • Exploring speech recognition and synthesis techniques
  • Understanding multimodal integration for creating AI-driven workflow
  • Exercise: Creating an audio analysis system and integrating it with other modalities
  • Collaborative Project: Working in teams to deploy a full multimodal AI solution that encompasses text, image, video, and audio
  • Final presentation of projects and feedback
  • Course recap and future applications of multimodal AI