Summary

Organizations must drive innovation and stay agile by using emerging technologies to stay ahead of the competition. With cloud providers like AWS, these technologies are easily accessible for you to experiment with and add to your use case.

In this chapter, you begin learning with Machine Learning (ML) and Artificial Intelligence (AI). You learned how AWS services help build an end-to-end ML pipeline taking ML workload from ideation to production. You learned about three layers of AWS AI/ML services, starting with ML Infrastructure provided by AWS to train your model. After that, you learned Amazon Sagemaker, which is at the center of the AWS ML tech stack to build, train, tune, deploy and monitor ML models. After that, you learned about the top stack where AWS AI services reside, providing pre-train models that can be used with simple API calls without any knowledge of ML. This AI service is available to address multiple use cases in Vision, Speech, Chatbots, forecasting and...