Machine learning (ML) is one of the fastest growing areas in technology and a highly sought after skillset in today’s job market. The World Economic Forum states the growth of artificial intelligence (AI) could create 58 million net new jobs in the next few years, yet it’s estimated that currently there are 300,000 AI engineers worldwide, but millions are needed. This means there is a unique and immediate opportunity for you to get started with learning the essential ML concepts that are used to build AI applications – no matter what your skill levels are. Learning the foundations of ML now, will help you keep pace with this growth, expand your skills and even help advance your career.
제공자:
Getting Started with AWS Machine Learning
Amazon Web Services
About this Course
최근 조회 113,275회
배울 내용
Key problems that Machine Learning can address and ultimately help solve.
How to build intelligent applications using Amazon AI services like Amazon Comprehend, Amazon Rekognition, Amazon Translate and others.
How to build, train and deploy a model using Amazon SageMaker with built-in algorithms and Jupyter Notebook instance.
Sneak peek into AWS DeepLens - The world’s first deep learning enabled video camera for developers.
귀하가 습득할 기술
Artificial Intelligence (AI)Machine LearningAmazon SageMakerNatural Language Processing (NLP)Computer Vision
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중급 단계
완료하는 데 약 9시간 필요
권장: 9 hours/week
영어
자막: 영어
강의 계획 - 이 강좌에서 배울 내용
완료하는 데 1시간 필요
Introduction to Machine Learning
완료하는 데 1시간 필요
5개 동영상 (총 73분)
5개의 동영상
What is Machine Learning?9m
What is Deep Learning?13m
Understanding Neural Networks7m
Machine Learning Algorithms Explained24m
1개 연습문제
Quiz 15m
완료하는 데 1시간 필요
Machine Learning Pipeline
완료하는 데 1시간 필요
1개 동영상 (총 60분)
1개의 동영상
1개 연습문제
Quiz 25m
완료하는 데 1시간 필요
Amazon AI Services: Computer Vision
완료하는 데 1시간 필요
4개 동영상 (총 58분)
4개의 동영상
Introduction to AWS DeepLens8m
Hands-on Rekognition: Automated Video Editing15m
Deep Dive on Amazon Rekognition26m
1개 연습문제
Quiz 35m
완료하는 데 1시간 필요
Amazon AI Services: NLP
완료하는 데 1시간 필요
5개 동영상 (총 73분)
5개의 동영상
Introduction to Amazon Comprehend Medical7m
Introduction to Amazon Translate9m
Introduction to Amazon Transcribe9m
Deep Dive with Amazon Transcribe29m
1개 연습문제
Quiz 45m
검토
4.3
GETTING STARTED WITH AWS MACHINE LEARNING의 최상위 리뷰
SG 제공Jan 2, 2020
Great content for someone new to this space. I really enjoyed all the information, thanks to all who are willing to share the knowledge. I'm ready to tackle the next course of AWS ML.
SS 제공Dec 6, 2019
It's a practical easy to follow introductory course of AWS machine learning with Sagemaker. I'm looking forward to learning more about Sagemaker and get some practical experience.
ML 제공Mar 30, 2020
Very good course I have learnt a lot of new things in Machine learning\n\nThe course content was excellent and the labs are in step by step which makes it be very easy
FV 제공Dec 8, 2019
A very dense and helpful course. However have a lack of practice. I think if they give some practical examples and some exercises, the course will be better
SJ 제공Oct 29, 2019
Great intro to Machine learning algorithms. Loved the course taught on BlazingText since it gave me insight into Glue, S3, costs and a wholistic view of ML
DE 제공Dec 18, 2019
This course represents a valuable first step toward more advanced courses where hands-on practice using coding notebook and AWS tools are emphasized.
KK 제공Mar 30, 2020
Great course, It was not a complete guide but now i understand what machine learning with aws looks like and even got some hands-on.
RV 제공Jan 5, 2020
This course gave me a good introduction to Machine Learning and helped me understand AWS service offerings around AI and ML.
SK 제공Nov 6, 2019
Excellent training, must learn course for future professionals.\n\nThanks to AWS training team...you did an amazing job
HH 제공Nov 18, 2019
Some videos went into too much code assuming everyone knows the specific functions. It added to the length needlessly.
CC 제공Mar 2, 2020
Not deep into ML techniques, but a lot of demos and how to use as the best AWS features for a smooth ML processes
AV 제공Oct 16, 2019
I'd like to learn more ML / DL basics. But in any case it's not hard course you can complete in few days.
HS 제공Oct 2, 2019
A very good guide for understanding the full Amazon web services flow but lack of proper implementation
MZ 제공Nov 17, 2019
Quite a trailbrazing course in machine learning. What a rich ML resource base AWS has on offer!
GN 제공Oct 8, 2019
I've earned basic understanding on AI, ML, DL. I liked the videos with Amazon Deeplens device.
PS 제공Feb 18, 2020
nice introduction course realted machine learing and artificial intelligence and deep learning
VR 제공Nov 3, 2019
good . Would request to add section where we can bring in our own model and run in Sagenaker
JL 제공Nov 3, 2019
Great course to skim thru Amazon product line on Machine Learning and learn overall process
SK 제공Mar 10, 2020
Great course for introduction to AWS and know the infrastructure and services they provide.
PC 제공Feb 12, 2020
Really good. I especially enjoyed week5 exercises (train-to-deploy Object dectection SSD)
제공자:
Amazon Web Services
Since 2006, Amazon Web Services has been the world’s most comprehensive and broadly adopted cloud platform. AWS offers over 90 fully featured services for compute, storage, networking, database, analytics, application services, deployment, management, developer, mobile, Internet of Things (IoT), Artificial Intelligence (AI), security, hybrid and enterprise applications, from 44 Availability Zones (AZs) across 16 geographic regions in the U.S., Australia, Brazil, Canada, China, Germany, India, Ireland, Japan, Korea, Singapore, and the UK. AWS services are trusted by millions of active customers around the world — including the fastest-growing startups, largest enterprises, and leading government agencies — to power their infrastructure, make them more agile, and lower costs. To learn more about AWS, visit https://aws.amazon.com.
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