- SageMaker (used for building, training, and deploying machine learning models at scale).
- Rekognition (add intelligent video and image analysis to applications)
- Comprehend (discover insight and relationships in text)
- Transcribe (automatic Speech Recognition)
- Polly (turn text into speech with deep learning)
- Translate (natural and exact language translation)
- Lex (conversational interfaces to applications powered by the same deep-learning technologies as Alexa)
AWS stated that ML and other AI technologies are often viewed as recent breakthroughs. However, they have been in-house for over 20 years, affecting a wide variety of resources. AWS now has a “Machine Learning University” as part of its new AWS Training and Certification Machine Learning offering. This signals that it intends to open up the technology to the public. “With thousands of engineers working on machine learning across the company there are very few Amazon products, pages, fulfillment technologies, or stores that haven’t been improved by the use of machine intelligence in some way,” Dr. Matt Wood, general manger of Artificial Intelligence at AWS, stated in a post today (Nov.26). “Many AWS customers share our enthusiasm. Our mission was to take machine-learning from something that was only available to the most well-funded technology companies and make it accessible to every developer. The company is also targeting developers and data platform engineers. They now offer access to over 30 self-paced digital courses. These courses include more than 45 hours worth of videos, courses, and labs. The courses are free but students must pay for labs and exams. AWS also announced the “AWS Certified Machine Learning-Specialty” certification to help students prove their knowledge and assist employers in hiring more efficiently. There are many learning paths on the machine learning training website, including classes like:
- Machine Learning for Business Challenges
- Machine Learning Math
- Data Science: The Elements
- Building a Dynamic Conversational Bot
- Introduction to Amazon DeepLens
Wood stated that each course begins with the basics and builds on them through real-world examples and labs. This allows developers to explore machine intelligence through some of the fun problems we have solved at Amazon. These include predicting gift wrapping eligibility and optimizing delivery routes. They also help predict entertainment award nominations using data provided by IMDb (an Amazon subsidiary). Coursework consolidates best practices and shows how to get started with a range AWS machine learning services including Amazon SageMaker and AWS DeepLens, Amazon Lex, Amazon Polly and Amazon Comprehend.