From the course: Advanced Data Processing: Batch, Real-Time, and Cloud Architectures for AI
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Continuing with AI data processing
From the course: Advanced Data Processing: Batch, Real-Time, and Cloud Architectures for AI
Continuing with AI data processing
- [Instructor] We have reached the end of the course. By now, you have an understanding of how to build architectures for batch and real-time AI using multiple deployment modes. You can take this learning even further. First, build a small end-to-end machine learning pipeline for a use case in your enterprise using the concepts learned in this course. Implement the same pipeline using one of the cloud platforms using native tools and technologies. Explore building hybrid architectures for generative AI for a use case in your organization. AI always intrigues me. I bet it intrigues you too, so let's keep exploring it and find better ways of extracting purpose out of it.
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