If you want to start building machine learning solutions on the AWS platform, this is the right place to start. It explores the concept of machine learning before moving on to the individual ML services offered by AWS.
You learn about the main principles of machine learning including supervised and unsupervised learning, ML algorithms, deep learning, and neural networks. We'll then focus on AWS itself and learn how to use it to feed data into an ML model and make accurate predictions based on the data.
We then delve deeper into the topic by exploring the AI services available in AWS such as Rekognition, Lex, and Elastic Map Reduce. You'll learn how to build an ML model, automate image labeling, and build a chatbot.
We'll also take a comprehensive look at Amazon SageMaker and you'll have plenty of opportunities to use the service yourself thanks to our hands-on labs.
This selection of content is ideal for anyone looking to become a machine learning engineer or who simply wants to learn more about the machine learning capabilities of AWS. If that sounds like you, then hit the Start Training Plan button below!