ChatGPT Advanced: Mastering Multimodal AI Integration training course

ChatGPT Advanced: Mastering Multimodal AI Integration

Available Dates

Venue

Dec-23-2024

Paris
Dec-23-2024

Singapore
Dec-30-2024

Barcelona
Dec-30-2024

Dubai
Dec-30-2024

Amsterdam
Dec-30-2024

London
Jan-06-2025

London
Jan-06-2025

Dubai
Jan-13-2025

Amsterdam
Jan-13-2025

Istanbul
Jan-13-2025

Barcelona
Jan-13-2025

Kuala Lumpur
Jan-13-2025

Singapore
Jan-13-2025

Paris
Mar-24-2025

Dubai
Mar-24-2025

London
Apr-14-2025

Kuala Lumpur
Apr-14-2025

Barcelona
Apr-14-2025

Paris
Apr-14-2025

Singapore
Apr-14-2025

Istanbul
Apr-14-2025

Amsterdam
May-19-2025

London
May-19-2025

Dubai
July-07-2025

Dubai
July-07-2025

London
July-14-2025

Amsterdam
July-14-2025

Paris
July-14-2025

Istanbul
July-14-2025

Singapore
July-14-2025

Kuala Lumpur
July-14-2025

Barcelona
Sep-01-2025

London
Sep-01-2025

Dubai
Oct-13-2025

Barcelona
Oct-13-2025

Istanbul
Oct-13-2025

Paris
Oct-13-2025

Kuala Lumpur
Oct-13-2025

Singapore
Oct-13-2025

Amsterdam
Dec-29-2025

Dubai
Dec-29-2025

London

Course Details

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.

At the end of the ChatGPT Advanced: Mastering Multimodal AI Integration course, the participants will be able to:

Understand the fundamentals of AI multimodal and the process of multimodal systems
Integrate advanced AI techniques into multimodal workflows
Implement and optimize ChatGPT for handling text, image, video, and audio inputs
Conduct image analysis using AI-driven models to identify objects, patterns and context in images
Perform video content analysis and extraction using multimodal techniques
Analyze and synthesize audio inputs for dynamic task automation

This course is designed for professionals looking to deepen their expertise in multimodal AI integration and workflow automation. It is well-suited for:

IT Professionals and Developers
Data Scientists and AI Engineers
Business Analysts and Decision-Makers
Software Developers
Product Managers
Entrepreneurs and Business Leaders

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

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

ChatGPT Advanced: Mastering Multimodal AI Integration

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