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Lesson 08: Natural Language Processing and Computer Vision

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About Course

This lesson explores the powerful intersection of Natural Language Processing (NLP) and Computer Vision, focusing on how AI can understand and generate both text and images. Students will learn how AI models process human language, recognize patterns in text, and extract meaning from visual data. By examining applications such as automated chatbots, image captioning, and self-driving cars, learners will understand the importance of multimodal AI systems. The lesson will introduce fundamental techniques like feature extraction, object detection, and deep learning architectures that integrate multiple data types. Hands-on examples will highlight how businesses and industries apply these technologies to solve complex challenges. By the end of the lesson, students will gain a strong foundation in AI-powered language and vision models, preparing them for deeper exploration into AI research and development.

 

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What Will You Learn?

  • How AI processes and understands text using Natural Language Processing
  • The fundamentals of Computer Vision and how machines analyze images
  • How multimodal AI integrates text and visual data for better decision-making
  • The role of deep learning architectures, including CNNs and Transformers
  • Real-world applications like self-driving cars, medical imaging, and chatbots
  • Best practices for training, evaluating, and improving NLP and Vision models

Course Content

Delving into Natural Language Processing

  • Understanding the Role of Language in AI
  • Techniques for Text Processing and Analysis
  • Creating Simple Chatbots and Text Analysis Tools
  • Understanding Checkpoint

The World of Computer Vision

Integrating Modalities for Rich Insights

Final Exam