This short video suggests the next steps you can take to do more with artificial intelligence on Azure.
Congratulations on finishing this learning path. Now that you have some experience with implementing artificial intelligence solutions, you might be feeling adventurous and ready to try doing more with AI. One useful resource is the Azure solution architectures page.
If you select the Artificial Intelligence tag, it will show you a list of example solutions for AI applications, such as Demand Forecasting and Price Optimization. Some of them include a pre-configured solution similar to the one we used for product recommendations in the last course.
However, some of them only include a diagram of which Azure services you could use to build a solution. So those ones require a lot of work on your part. Many of these example architectures require either Azure Machine Learning services or Machine Learning Studio.
If you want to learn how to use these services to build custom machine learning models, then try our Introduction to Azure Machine Learning. It has courses that not only teach you about these Azure services, but they also take you through the basics of how machine learning works.
If you have any questions or comments, please let us know. Thanks and good luck with your artificial intelligence endeavors.
Guy launched his first training website in 1995 and he's been helping people learn IT technologies ever since. He has been a sysadmin, instructor, sales engineer, IT manager, and entrepreneur. In his most recent venture, he founded and led a cloud-based training infrastructure company that provided virtual labs for some of the largest software vendors in the world. Guy’s passion is making complex technology easy to understand. His activities outside of work have included riding an elephant and skydiving (although not at the same time).