ChatGPT Advanced: Mastering Multimodal AI Integration

Course Info

Date:

2025-08-04

Length:

5 Days

Type:

In Classroom

Fees:

£ 4600

City:

Amsterdam
Available DatesVenue
2025-05-05Amsterdam
2025-11-03Amsterdam
Available DatesOther Venue
2025-05-05Barcelona
2025-05-05Paris
2025-05-05Istanbul
2025-05-05Kuala Lumpur
2025-05-05Singapore
2025-05-05Dubai
2025-06-09London
2025-07-07Dubai
2025-08-04Singapore
2025-08-04Kuala Lumpur
2025-08-04London
2025-08-04Istanbul
2025-08-04Barcelona
2025-08-04Paris
2025-09-08Dubai
2025-10-06London
2025-11-03Barcelona
2025-11-03Paris
2025-11-03Istanbul
2025-11-03Kuala Lumpur
2025-11-03Singapore
2025-11-03Dubai
2025-12-08London

Course Details

  • Introduction

  • Objective

  • Who should attend

  • Course Location

Multimodal AI is at the forefront of innovation, allowing systems to process and integrate data from multiple sources such as text, images, audio, and video. This course is designed to provide a comprehensive understanding of multimodal AI systems and their transformative impact across industries. Over five days, participants will explore advanced AI techniques that enable the seamless integration of various data modalities into complex workflows. The course covers the foundations of text and image processing, as well as more advanced applications like video content analysis and speech recognition, offering hands-on exercises to help participants build and deploy AI-driven solutions.


Attendees will gain practical skills in using models such as GPT4O, CLIP, and DALL-E, while also learning to automate workflows using OpenAI assistants and LangChain. By the end of the course, participants will have the expertise to implement AI solutions that span multiple modalities, making them equipped to tackle real-world challenges in areas like content management, automation, and data analysis.

Course Outline

5 days course
  • Day 1
  • Day 2
  • Day 3
  • Day 4
  • Day 5

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

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