Introduction to Machine Learning on AWS
Learn AWS machine learning services for computer vision, NLP, and more. Build, train, and deploy ML models using Amazon SageMaker.
Learn AWS machine learning services for computer vision, NLP, and more. Build, train, and deploy ML models using Amazon SageMaker.
Explore AWS machine learning services for computer vision, NLP, speech recognition, and translation. Learn to build, train, and deploy ML models with Amazon SageMaker.
4.5
(107 ratings)
26,481 already enrolled
Instructors:
English
English (Original), Deutsch (Auto), हिन्दी (ऑटो), 18 more
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What you'll learn
Differentiate between artificial intelligence (AI), machine learning, and deep learning
Select appropriate AWS machine learning services for specific use cases
Discover how to build, train, and deploy machine learning models
Gain hands-on experience with AWS AI services like Rekognition, Textract, and Comprehend
Learn about natural language processing and speech recognition with AWS services
Explore Amazon SageMaker for end-to-end machine learning workflows
Skills you'll gain
This course includes:
6 Hours PreRecorded video
2 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 2 modules in this course
This course introduces AWS machine learning services, covering AI, ML, and deep learning concepts. It explores services for computer vision, data extraction, language processing, speech recognition, and translation. Learners gain hands-on experience with Amazon Rekognition, Textract, Comprehend, Transcribe, Translate, Lex, and SageMaker. The course helps developers integrate AI/ML capabilities into existing applications and build new ML-powered solutions.
Week 1 - AI/ML Introduction and Vision Services
Module 1 · 3 Hours to complete
Week 2 - Speech, Translation, and ML Models
Module 2 · 3 Hours to complete
Fee Structure
Payment options
Financial Aid
Instructor
Senior Cloud Technologist
Russ has been in the tech industry since the very early days of the web. After many years in software, Russ made the switch to education and has found the area to be very rewarding. He looks back fondly on the days of dial up internet and under construction icons. When not trying his hardest to keep up with the tech Russ is kept very busy with family chores all over Sydney.
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4.5 course rating
107 ratings
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