Recap what you learned in this series and find resources to help further your AI development.
Welcome to the AI Practitioners Guide for Beginners, the video series. I am Beenish Zia. And in this episode, we wrap up our series with a few final thoughts.
The goal of this series was to provide you a quick overview to the AI Practitioners Guide with a glimpse of business considerations for AI, along with a summary of steps to deploy TensorFlow* on the Intel® Xeon® Scalable platform [sic]. I also showed you how to run sample training and inference jobs.
This video series gave you the basic tools needed to apply your knowledge of AI in real-world applications. Whether it be in retail, health care, finance, or any other market segment, applying what you have learned in this video series will greatly aid you in being successful. For example, we have use cases around fraudulent credit card transaction detection, faster medical imaging analysis, as well as online recommendation engines using similar steps that are described in the guide for running AI via the cloud.
You can get inspired from these use cases by checking out ai.intel.com. Intel and its many ecosystem partners provide developer resources to help you get started on your AI journey. Learn more about Intel's rich AI offerings, as well as the Intel® AI Builders program, for an extensive list of AI Builder [sic] partners, blogs, solutions, reference design, and testimonials, as well as the written guide in the links. Thanks for watching the series, and keep developing.