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Visual AI with Transformers & LLMs

Course Overview​

Welcome to this comprehensive course on Visual AI, where we explore the powerful intersection of computer vision and large language models. This course demonstrates how transformer architectures are revolutionizing visual understanding, enabling AI systems to not just see, but truly understand and generate visual content.

Through hands-on modules, you'll learn to build cutting-edge AI applications that combine the best of vision and language models, from basic image recognition to advanced video intelligence and content generation.

Learning Roadmap​

This course is structured as a progressive journey through Visual AI concepts:

  1. Module 1: Big Picture - Foundations of Visual AI and transformer architectures
  2. Module 2: Recognition - Image classification and recognition tasks
  3. Module 3: Detection - Object detection and localization
  4. Module 4: Segmentation - Pixel-level image understanding
  5. Module 5: Vision-Language - Connecting vision and language models
  6. Module 6: Reasoning - Visual reasoning and understanding
  7. Module 7: Pose Estimation - Human pose detection and analysis
  8. Module 8: Video Intelligence - Processing and understanding video content
  9. Module 9: Generation - Creating images and visual content with AI
  10. Module 10: Editing - AI-powered image and video editing

Prerequisites​

  • Basic Python programming
  • Familiarity with machine learning concepts
  • Understanding of neural networks (helpful but not required)

What You'll Learn​

  • Transformer architectures for vision tasks
  • Integration of LLMs with computer vision
  • Building multimodal AI systems
  • Practical applications in various domains
  • Best practices for Visual AI development

Course Modules​

Navigate through the modules to explore the course content and practical implementations.