Section: AI in practice: building and deploying models | AI Programming with Python | NLearning

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This section focuses on the practical aspects of building and deploying AI models. You will learn how to take a machine learning or deep learning model from development to deployment, covering the entire workflow from data preparation and model training to testing and scaling. Topics include model evaluation, optimization, and deployment using tools like Flask or FastAPI for creating APIs. The goal is to provide hands-on experience in bringing AI models into real-world applications, making them accessible for use in production environments.
- Select activity Building AI applications with Python
  
  Building AI applications with Python Assignment
- Select activity Model Deployment using Flask or FastAPI
  
  Model Deployment using Flask or FastAPI Assignment
- Select activity Integration with real-world APIs and systems
  
  Integration with real-world APIs and systems Assignment
- Select activity Python documentation
  
  Python documentation URL

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