917: 8 Steps to Becoming an AI Engineer, with Kirill Eremenko
Super Data Science: ML & AI Podcast with Jon Krohn
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From Prototype to Production: Weather App in AWS
This chapter details the transformation of a weather application from a Jupyter Notebook to a production-level project on AWS, focusing on the use of Docker and CI/CD workflows. It also covers the development of AI language model agents in a training program, emphasizing security measures, memory features, and the importance of automation. Finally, the chapter highlights the shift from theoretical understanding to practical implementation in a DIY AI bootcamp, showcasing the essential skills for building scalable applications.
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