<ul><li>Bringing an AI project to life involves integrating multiple concepts into a seamless pipeline.</li><li>The key steps in building an end-to-end AI project include defining the project, data collection and preparation, building the model, training the model, evaluating the model, deployment, and monitoring and updating.</li><li>For this case study, an image classifier that distinguishes between cats and dogs is built.</li><li>The process involves selecting a real-world problem, gathering and preprocessing the data, selecting and implementing the model using TensorFlow/Keras, training and evaluating the model, saving and deploying the model using Flask, and hosting it on platforms like Heroku or AWS Lambda.</li></ul>

Part 16: Building Your Own AI - Building an End-to- End AI Project: A Case Study

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